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title: "Journal of Chinese Information Processing — journal, papers"
description: "Journal of Chinese Information Processing: 47 works in the Elamur Research library (2023–2026), 0 citations; its topics, authors and institutions."
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# Journal of Chinese Information Processing (中文信息学报)

Journal

[**47** works in our library](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/works/) · [**0** citations of these works](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/works/) · [**2023–2026** years of the works here](#years)

## Works by year

Works in our library by year 47 dated works from 2023 to 2026; the busiest year is 2026 with 14.

**The numbers**

| Year | Works |
| --- | --- |
| 2026 | 14 |
| 2025 | 11 |
| 2024 | 9 |
| 2023 | 13 |

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (18)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (9)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering (5)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Evaluation & benchmarks (5)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation (4)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Semantic role labeling (2)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Part-of-speech tagging (2)](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Knowledge graphs & ontologies (2)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Semantic parsing & meaning representation (2)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Summarization (1)](https://md.research.elamur.ai/free/en/topics/summarization/)

**6 more topics**

[Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/)

## Fields

[Arts and Humanities (47)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (47)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Works in our library (47)

The most cited first (OpenAlex citations plus our library's).

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/)

[See all 47 works →](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/works/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.