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title: "Journal of Chinese Information Processing — works"
description: "47 works of Journal of Chinese Information Processing in our library, the most cited first."
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# Works of Journal of Chinese Information Processing (中文信息学报)

47 works · the most cited first · [← Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)

1. [**Commonsense Plausibility Estimation Based on Pretrained Models: A Survey (基于预训练模型的文本常识合理性估计研究综述)**Wanqing Cui (崔莞清), Keping Bi (毕可平), Jiafeng Guo (郭嘉丰), et al.*2026*](https://md.research.elamur.ai/free/en/papers/cui-2026-commonsense-plausibility-estimation/)
2. [**Enhancing the Role-playing Capabilities of Reasoning-optimized Large Language Models (推理型大语言模型角色扮演能力评估与优化)**Xiachong Feng (冯夏冲), Yichong Huang (黄毅翀), Xiaocheng Feng (冯骁骋), et al.*2026*](https://md.research.elamur.ai/free/en/papers/feng-2026-enhancing-role-playing/)
3. [**CPQD: A Chinese Poetry Quotation Dataset for Enhancing the Literary Expressiveness of Large Language Models (CPQD: 用于提升大语言模型文学表现力的中文诗词引用数据集)**Yahao Hu (胡亚豪), Lei Xu (徐磊), Zhisong Pan (潘志松), et al.*2026*](https://md.research.elamur.ai/free/en/papers/hu-2026-cpqd-chinese-poetry/)
4. [**A Reasoning Path Ranking Method for Reasoning Optimization of Small-scale Large Language Models (面向小规模大语言模型推理优化的推理路径排序方法)**Jun Li (李俊), Yu Bai (白宇), Yuting Liu (刘雨婷)*2026*](https://md.research.elamur.ai/free/en/papers/li-2026-reasoning-path-ranking/)
5. [**Retrieval-augmented Chain-of-thought Prompting Method for Chinese Frame Semantic Parsing (基于检索增强思维提示的汉语框架语义解析方法)**Yingxu Li (李迎旭), Tao Chen (陈涛), Binyang Li (李斌阳), et al.*2026*](https://md.research.elamur.ai/free/en/papers/li-2026-retrieval-augmented-chain/)
6. [**Leveraging Decoupled Composition in Large Language Models for Knowledge Base Question Answering (基于解耦与组合的大模型知识问答方法)**Shengze Shi (施圣泽), Li Qin (秦利), Jun Hu (胡军), et al.*2026*](https://md.research.elamur.ai/free/en/papers/shi-2026-leveraging-decoupled-composition/)
7. [**Facilitating Large Language Model-based Multiple-choice Reading Comprehension with Question-solving Thought (基于解题思维机制的大语言模型多项选择阅读理解增强框架)**Yisong Su (苏艺淞), Yuanzhe Zhang (张元哲), Xiangwen Liao (廖祥文), et al.*2026*](https://md.research.elamur.ai/free/en/papers/su-2026-facilitating-large-language/)
8. [**A Chinese Character Riddle Solving Model Based on Pre-trained Language Models (基于预训练语言模型的汉语字形谜解谜模型)**Hanyu Wang (王涵玉), Xun Liang (梁循), Zhenyu Guan (关真宇), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-chinese-character-riddle/)
9. [**Chinese Coreference Corpus from Verb-Driven Events and Its Application for LLM Evaluation (动词驱动事件的共指关系中文语料库构建及大模型评测)**Haoze Wang (王皓泽), Xin Xin (辛欣)*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-chinese-coreference-corpus/)
10. [**A Fact-verification-based Five-link Chain Machine Translation Hallucination Detection Agent (基于事实验证的五链式机器翻译幻觉检测智能体)**Jiaqin Wei (魏嘉琴), Maoxi Li (李茂西)*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-fact-verification-five/)
11. [**Link Prediction over N-ary Knowledge Graphs: A Survey (多元知识图谱链接预测研究综述)**Jiyao Wei (隗继耀), Saiping Guan (官赛萍), Xiaolong Jin (靳小龙), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-link-prediction-over/)
12. [**K-CoT: Chinese Parallelism Generation Based on Keywords Chain-of-Thought Prompting (K-CoT：基于关键词思维链提示的中文排比句生成研究)**Maosheng Zhong (钟茂生), Jiaqi Gan (甘家其), Hejun Zhang (张鹤君), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhong-2026-k-cot-chinese/)
13. [**Discourse Structure Variation for Large Language Model Evaluation in Text Simplification (大模型文本简化的篇章结构变化分析与评测)**Junhui Zhu (朱君辉), Erhong Yang (杨尔弘), Haonan Zhu (朱浩楠), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-discourse-structure-variation/)
14. [**From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models (从感知到推理：深度思考赋能多模态大语言模型)**Wenxin Zhu (祝文鑫), Andong Chen (陈安东), Yuchen Song (宋宇宸), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-perception-reasoning-deep/)
15. [**From Human Preference to Autonomous Alignment: A Survey of Large Language Model Alignment (从人类偏好到自主对齐: 大语言模型对齐方法综述)**Shihan Dou (窦士涵), Ming Zhang (张明), Xuanjing Huang (黄萱菁), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dou-2025-human-preference-autonomous/)
16. [**Parsing of Passive Structure in Chinese and Its Application in CAMR (汉语被动结构解析及其在CAMR中的应用研究)**Kang Hu (胡康), Weiguang Qu (曲维光), Tingxin Wei (魏庭新), et al.*2025*](https://md.research.elamur.ai/free/en/papers/hu-2025-parsing-passive-structure/)
17. [**Positive and Negative Chain-of-Thoughts Based Question Answering Method for Table-Text Financial Data (基于正负例思维链的表格-文本混合金融数据自动问答方法)**Xi Li (李希), Xiping Liu (刘喜平), Qing Shu (舒晴), et al.*2025*](https://md.research.elamur.ai/free/en/papers/li-2025-positive-negative-chain/)
18. [**Self-Guide: Enhancing LLM Reasoning Ability via Self-Planning (Self-Guide:一种基于自我规划的大语言模型推理增强方法)**Yibin Liu (刘艺彬), Zhenghao Liu (刘正皓), Yukun Yan (闫宇坤), et al.*2025*](https://md.research.elamur.ai/free/en/papers/liu-2025-self-guide-enhancing/)
19. [**Benchmarking the Performance of Chinese Large Language Models for Abstractive Text Summarization (中文大模型生成式摘要能力评估)**Junchao Wang (王俊超), Kehan Fan (樊可汗), Zhiheng Huo (霍智恒)*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-benchmarking-performance-chinese/)
20. [**Fine Tuning Methods for Large Language Models: A Survey (大语言模型微调方法研究综述)**Chunzhi Wu (吴春志), Yulong Zhao (赵玉龙), Xin Liu (刘鑫), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-fine-tuning-methods/)
21. [**Sentence Alignment of Ancient and Modern Chinese Based on Reinforcement Learning (基于强化学习的古今汉语句子对齐研究)**Kuai Yu (喻快), Yanqiu Shao (邵艳秋), Wei Li (李炜)*2025*](https://md.research.elamur.ai/free/en/papers/yu-2025-sentence-alignment-ancient/)
22. [**A Survey of Semantic Representation Methods for Natural Language Understanding (面向自然语言理解的语义表示方法综述)**Xiang Zhang (张翔), Shizhu He (何世柱), Yuanzhe Zhang (张元哲), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-semantic-representation-methods/)
23. [**A Survey of Simultaneous Translation (实时翻译研究综述)**Shaolei Zhang (张绍磊), Yang Feng (冯洋)*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-simultaneous-translation/)
24. [**Chinese Parallelism Generation Based on Part-of-Speech Alignment and Dependency Relation (基于词性对齐与依存关系的中文排比句生成方法)**Maosheng Zhong (钟茂生), Lei Liu (刘蕾), Ruping Wu (吴如萍), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhong-2025-chinese-parallelism-generation/)
25. [**Evaluation on Chinese Multiturn Instruction Following Capability of Large Language Models (大语言模型的中文多轮指令遵循能力评测研究)**Qin Zhu (朱秦), Junliang He (何俊亮), Xipeng Qiu (邱锡鹏), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhu-2025-evaluation-chinese-multiturn/)
26. [**A Survey of Non-Autoregressive Neural Machine Translation (非自回归神经机器翻译综述)**Hang Cao (曹航), Chi Hu (胡驰), Tong Xiao (肖桐), et al.*2024*](https://md.research.elamur.ai/free/en/papers/cao-2024-non-autoregressive-neural/)
27. [**Pre-trained Neural Machine Translation: Progress and Analysis (预训练神经机器翻译研究进展分析)**Zhiquan Cao (曹智泉), Yongyu Mu (穆永誉), Tong Xiao (肖桐), et al.*2024*](https://md.research.elamur.ai/free/en/papers/cao-2024-pre-trained-neural/)
28. [**A Survey of Chinese Large Language Models in Medicine: Progress, Evaluation and Challenges (中文医疗大模型综述: 进展、评估与挑战)**Xinmeng Ji (籍欣萌), Hongying Zan (昝红英), Tingting Cui (崔婷婷), et al.*2024*](https://md.research.elamur.ai/free/en/papers/ji-2024-chinese-large-language/)
29. [**Research on Annotation Rules and Phrase Recognition Algorithm Based on Phrase and Dependency (基于短语及依存的标注规则和短语识别算法研究)**Guang Liu (刘广), Gang Tu (涂刚), Zheng Li (李政), et al.*2024*](https://md.research.elamur.ai/free/en/papers/liu-2024-annotation-rules-phrase/)
30. [**Evaluating Large Language Models: A Survey of Research Progress (大语言模型评测综述)**Wen Luo (罗文), Houfeng Wang (王厚峰)*2024*](https://md.research.elamur.ai/free/en/papers/luo-2024-evaluating-large-language/)
31. [**Exploring Chinese Pre-Training with Mixed-Grained Encoding and IDF-Masking (探索中文预训练模型的混合粒度编码和IDF遮蔽)**Yunfan Shao (邵云帆), Tianxiang Sun (孙天祥), Xipeng Qiu (邱锡鹏)*2024*](https://md.research.elamur.ai/free/en/papers/shao-2024-exploring-chinese-pre/)
32. [**Performance and Challenges of InstructGPT in Named Entity Recognition (InstructGPT在命名实体识别任务中的表现和挑战)**Yu Sun (孙瑜), Hang Yan (颜航), Xipeng Qiu (邱锡鹏), et al.*2024*](https://md.research.elamur.ai/free/en/papers/sun-2024-performance-challenges-instructgpt/)
33. [**Survey on Controllable Text Generation (可控文本生成技术研究综述)**Jian Wang (王舰), Yuqing Sun (孙宇清)*2024*](https://md.research.elamur.ai/free/en/papers/wang-2024-controllable-text-generation/)
34. [**Researches on Question Answering Over Tables: A Survey (表格问答研究综述)**Hongyi Zhang (张洪廙), Ren Li (李韧), Jianxi Yang (杨建喜), et al.*2024*](https://md.research.elamur.ai/free/en/papers/zhang-2024-researches-question-answering/)
35. [**A Survey of Prompt Learning Combined with Knowledge (与知识相结合的提示学习研究综述)**Chenlong Bao (鲍琛龙), Mingyang Lv (吕明阳), Jintao Tang (唐晋韬), et al.*2023*](https://md.research.elamur.ai/free/en/papers/bao-2023-prompt-learning-combined/)
36. [**Survey of Multi-document Machine Reading Comprehension Based on Deep Learning (基于深度学习的多文档机器阅读理解综述)**Feng Gao (高峰), Jiancheng Ni (倪建成), Peng Gao (高鹏), et al.*2023*](https://md.research.elamur.ai/free/en/papers/gao-2023-multi-document-machine/)
37. [**Chinese Readability Assessment Based on Deep Neural Networks (基于神经网络模型的汉语文本难度分级)**Wenbiao Li (李文彪), Yunfang Wu (吴云芳)*2023*](https://md.research.elamur.ai/free/en/papers/li-2023-chinese-readability-assessment/)
38. [**Review of the First International Ancient Chinese Word Segmentation and POS Tagging Bakeoff (第一届古代汉语分词和词性标注国际评测)**Bin Li (李斌), Yiguo Yuan (袁义国), Jingya Lu (芦靖雅), et al.*2023*](https://md.research.elamur.ai/free/en/papers/li-2023-first-international-ancient/)
39. [**Dependency Structure Learning for Robust Extraction of Middle School Math Terms (基于依存结构学习的中学数学术语鲁棒抽取)**Kaiwei Luo (罗凯威), Wenbing Luo (罗文兵), Qi Huang (黄琪), et al.*2023*](https://md.research.elamur.ai/free/en/papers/luo-2023-dependency-structure-learning/)
40. [**A Fine-Grained Annotated Dataset for Chinese Semantic-Role Labeling (一种改进的汉语语义角色分类体系与标注实践)**Heng Song (宋衡), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2023*](https://md.research.elamur.ai/free/en/papers/song-2023-fine-grained-annotated/)
41. [**Chinese Semantic Model and Semantic Extraction Method Based on Dependency Syntax (基于依存句法的中文语义模型及语义提取方法)**Jiaqi Wang (王佳琦), Jun Han (韩军), Qitong Sun (孙启童)*2023*](https://md.research.elamur.ai/free/en/papers/wang-2023-chinese-semantic-model/)
42. [**A Survey of Dialogical Argumentation (对话式论辩研究综述)**Zhongyu Wei (魏忠钰), Jiayu Ding (丁佳玙), Chenchen Shen (沈晨晨), et al.*2023*](https://md.research.elamur.ai/free/en/papers/wei-2023-dialogical-argumentation/)
43. [**Language Model Enhanced Chinese Relation Extraction (基于语言模型增强的中文关系抽取方法)**Ping Xue (薛平), Ying Li (李影), Zhonghai Wu (吴中海)*2023*](https://md.research.elamur.ai/free/en/papers/xue-2023-language-model-enhanced/)
44. [**A Systematic Survey of Automated Essay Scoring (写作智能评测研究综述和发展前景)**Siyuan Xue (薛嗣媛), Jianshe Zhou (周建设), Fuji Ren (任福继)*2023*](https://md.research.elamur.ai/free/en/papers/xue-2023-systematic-automated-essay/)
45. [**Automatic Transformation of Enhanced Dependencies in Chinese (汉语增强依存句法自动转换研究)**Jingsi Yu (余婧思), Jialu Shi (师佳璐), Lin'er Yang (杨麟儿), et al.*2023*](https://md.research.elamur.ai/free/en/papers/yu-2023-automatic-transformation-enhanced/)
46. [**Construction of Chinese Sentence-Level Gender-Unbiased Data Set and Evaluation of Gender Bias in Pre-Training Language Model (中文句子级性别无偏数据集构建及预训练语言模型的性别偏度评估)**Jishun Zhao (赵继舜), Bingjie Du (杜冰洁), Pengyuan Liu (刘鹏远), et al.*2023*](https://md.research.elamur.ai/free/en/papers/zhao-2023-construction-chinese-sentence/)
47. [**Separated Word Recognition in Chinese (汉语词语离合现象识别研究)**Lu Zhou (周露), Weiguang Qu (曲维光), Tingxin Wei (魏庭新), et al.*2023*](https://md.research.elamur.ai/free/en/papers/zhou-2023-separated-word-recognition/)
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