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Model: twnlp/ChineseErrorCorrector4-4B Source: Original Platform
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README.md
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README.md
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---
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language:
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- zh
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license: apache-2.0
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tags:
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- chinese
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- text-correction
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- grammatical-error-correction
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- spelling-check
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- qwen3
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- chain-of-thought
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- reinforcement-learning
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base_model: Qwen/Qwen3-4B
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datasets:
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- twnlp/ChineseErrorCorrector
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metrics:
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- f1
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- precision
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- recall
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pipeline_tag: text-generation
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model-index:
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- name: ChineseErrorCorrector4-4B
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results:
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- task:
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type: text-generation
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name: Chinese Grammatical Error Correction
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dataset:
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name: NACGEC
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type: nacgec
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metrics:
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- type: f0.5
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value: 50.99
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- task:
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type: text-generation
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name: Chinese Spelling Check
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dataset:
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name: CSCD
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type: cscd
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metrics:
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- type: f1
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value: 59.61
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---
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# ChineseErrorCorrector4-4B (CSRP)
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<p align="center">
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<a href="https://github.com/TW-NLP/ChineseErrorCorrector">
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<img src="https://img.shields.io/badge/GitHub-Repository-black?logo=github" alt="GitHub"/>
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</a>
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<a href="https://huggingface.co/twnlp/ChineseErrorCorrector4-4B">
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<img src="https://img.shields.io/badge/🤗-Model%20Card-yellow" alt="Hugging Face"/>
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</a>
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<img src="https://img.shields.io/badge/ACL%202026-Oral-red" alt="ACL 2026 Oral"/>
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<img src="https://img.shields.io/badge/License-Apache%202.0-blue" alt="License"/>
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</p>
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---
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## 🔥 Recent Updates
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| Date | Update |
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|------|--------|
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| **2026-05** | 🎉 Paper **"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards"** accepted as **Oral** at **ACL 2026** |
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| **2026-05** | 🚀 Released **ChineseErrorCorrector4-4B**, achieving new **SOTA** on both NACGEC and CSCD benchmarks |
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---
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## 💡 Introduction
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**ChineseErrorCorrector4-4B** is a high-precision Chinese Grammatical Error Correction (CGEC) and Chinese Spelling Check (CSC) model, built on the **CSRP (CPT → SFT → RL)** three-stage training framework.
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### The Problem: Over-Correction Bias
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Traditional LLM-based correction systems often suffer from **over-correction bias** — models unnecessarily paraphrase correct text rather than leaving it untouched. CSRP resolves this by calibrating decision boundaries through a structured curriculum:
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| Stage | Name | Description |
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|-------|------|-------------|
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| **Phase I** | Balanced Continued Pre-training (CPT) | Internalizes linguistic priors using 5.9M samples with an 8:2 mixture of general and correction-specific data |
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| **Phase II** | Rationale-Augmented SFT | Distills Chain-of-Thought reasoning paths to guide the model in diagnosing error types before executing corrections |
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| **Phase III** | Efficiency-Aware Policy Alignment | Uses **GRPO** with a novel **Efficiency-Aware Reward (EAR)** to penalize unnecessary edits and reward surgical precision |
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---
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## 📊 Benchmark Results
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### 榜单一：中文语法纠错（CGEC）— NACGEC 基准
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针对原生中文及学习者文本，CSRP (4B) 斩获新 SOTA，$F_{0.5}$ 高达 **50.99**，显著超越此前最优专业大模型。
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| 模型 (Scale) | 准确率 Precision | 召回率 Recall | **$F_{0.5}$** (核心指标) |
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|:-------------|:---:|:---:|:---:|
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| BART | 34.67 | 41.88 | 35.91 |
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| HW-CGEC | 50.95 | 32.29 | 45.26 |
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| ScholarGEC (14B) | 45.08 | 59.33 | 47.35 |
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| CEC3 (4B) | 54.20 | 34.75 | 48.74 |
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| **CSRP (4B) [Ours]** ✅ | **57.17** | **35.60** | **50.99** |
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> 🔥 **超越 14B 大模型：** 参数量仅为三成，$F_{0.5}$ 相比 ScholarGEC-14B 提升 **+3.64**！
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>
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> 🔥 **极高准确率 (Precision 57.17%)：** 远超其他模型，最大程度压制了 false-positive（假阳性改写），真正做到"**无错不改，有错必精**"。
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---
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### 榜单二：中文拼写检查（CSC）— CSCD 基准
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CSRP 在字符级纠错 F1 上同样展现出强劲统治力，达到惊人的 **59.61**，全面超越 GPT-4。
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| 模型 | Correction F1 |
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||||
|:-----|:---:|
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| BERT | 25.49 |
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| SoftMask | 44.48 |
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| SMBERT | 44.67 |
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| MDCSpell+ARM | 48.93 |
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| GPT-4 (Few-shot) | 54.41 |
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| **CSRP (4B) [Ours]** ✅ | **59.61** |
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---
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## 🛠️ Quick Start
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### Requirements
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```bash
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pip install -U transformers torch
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```
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> **Note:** Requires `transformers >= 4.51.0` for Qwen3 architecture support.
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### Inference with Transformers
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "twnlp/ChineseErrorCorrector4-4B"
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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trust_remote_code=True
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)
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# Professional instruction template
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instruction = (
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"假如你是一名专业的纠错专家，请分析输入句子的语法错误类型和修改原因，"
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"并只输出纠正后的语句，错误类型如下：错别字、词语搭配错误、词性错误、"
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"语序错误、成分残缺、成分赘余、关联词使用错误、指代不明、语义逻辑不通、无误。"
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)
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text_input = "下个星期，我跟我朋唷打算去法国玩儿。"
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messages = [
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{"role": "system", "content": instruction},
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{"role": "user", "content": text_input}
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]
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text = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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generated_ids = model.generate(
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**model_inputs,
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max_new_tokens=512,
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do_sample=False,
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repetition_penalty=1.1
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)
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response = tokenizer.decode(
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generated_ids[0][len(model_inputs.input_ids[0]):],
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skip_special_tokens=True
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)
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print(response)
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```
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---
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## 📝 Output Example
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**Input:**
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```
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||||
下个星期，我跟我朋唷打算去法国玩儿。
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```
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**Model Output:**
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```
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<think>
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错误类型：错别字
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修改原因：原句中的"朋唷"是错误写法，正确应为"朋友"。
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"唷"是语气助词，不能用于此处指代同伴。
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正确句使用"朋友"准确表达了与说话者一同前往的人，避免了因错别字造成的语义误解。
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</think>
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下个星期，我跟我朋友打算去法国玩儿。
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```
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**Supported error types:**
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| 错误类型 | 说明 |
|
||||
|---------|------|
|
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| 错别字 | Typos / wrong characters |
|
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| 词语搭配错误 | Wrong word collocation |
|
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| 词性错误 | Wrong part of speech |
|
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| 语序错误 | Wrong word order |
|
||||
| 成分残缺 | Missing sentence components |
|
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| 成分赘余 | Redundant components |
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| 关联词使用错误 | Wrong conjunction usage |
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| 指代不明 | Ambiguous reference |
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| 语义逻辑不通 | Semantic/logical inconsistency |
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| 无误 | No error |
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---
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---
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## 📜 License
|
||||
|
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This project is released under the [Apache 2.0 License](LICENSE).
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added_tokens.json
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
|
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{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- messages[0].content + '\n\n' }}
|
||||
{%- endif %}
|
||||
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if message.content is string %}
|
||||
{%- set content = message.content %}
|
||||
{%- else %}
|
||||
{%- set content = '' %}
|
||||
{%- endif %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
68
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 9728,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 262144,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 5000000,
|
||||
"sliding_window": null,
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|
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|
||||
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|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9417dfa2470f086897a0fa5acf4c11e1b05646717bdd7f9d4dc119332c65d421
|
||||
size 11422919
|
||||
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
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|
||||
"151643": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f35311be075d554839416b3ddfd6d9cf47622bac4290408e0ddff3b98786183c
|
||||
size 7185
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user