--- title: "Natural language processing — papers, page 5" description: "Natural language processing: 2421 papers of the Elamur Research library · page 5 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/5/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/5/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) / page 5 # 💬 Natural language processing 2421 papers · page 5 of 97 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Computational linguistics from the ACL Anthology and arXiv: language models, information extraction, dialogue, evaluation. [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [4](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) **5** [6](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) - [基于预训练模型的文本常识合理性估计研究综述](https://md.research.elamur.ai/free/en/papers/cui-2026-commonsense-plausibility-estimation/) — 崔莞清, 毕可平, 郭嘉丰, et al. · 2026 - [基于预训练语言模型的汉语字形谜解谜模型](https://md.research.elamur.ai/free/en/papers/wang-2026-chinese-character-riddle/) — 王涵玉, 梁循, 关真宇, et al. · 2026 - [多元知识图谱链接预测研究综述](https://md.research.elamur.ai/free/en/papers/wei-2026-link-prediction-over/) — 隗继耀, 官赛萍, 靳小龙, et al. · 2026 - [大模型参数高效微调方法综述: 技术、趋势与挑战](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/) — 唐岸达, 林宙辰 · 2026 - [大模型文本简化的篇章结构变化分析与评测](https://md.research.elamur.ai/free/en/papers/zhu-2026-discourse-structure-variation/) — 朱君辉, 杨尔弘, 朱浩楠, et al. · 2026 - [大模型驱动的文本属性图学习研究进展](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/) — 郑艳萍, 季嘉蕊, 胡雨韦, et al. · 2026 - [大语言模型幻觉检测方法综述](https://md.research.elamur.ai/free/en/papers/li-2026-hallucination-detection-methods/) — 李自拓, 孙建彬, 陈广州, et al. · 2026 - [大语言模型推理中的键值缓存压缩方法综述](https://md.research.elamur.ai/free/en/papers/hu-2026-kv-cache-compression/) — 胡世鹏, 张广艳, 郑纬民 · 2026 - [推理型大语言模型角色扮演能力评估与优化](https://md.research.elamur.ai/free/en/papers/feng-2026-enhancing-role-playing/) — 冯夏冲, 黄毅翀, 冯骁骋, et al. · 2026 - [面向小规模大语言模型推理优化的推理路径排序方法](https://md.research.elamur.ai/free/en/papers/li-2026-reasoning-path-ranking/) — 李俊, 白宇, 刘雨婷 · 2026 - [面向时序知识图谱推理的本体-图谱双智能体强化学习方法](https://md.research.elamur.ai/free/en/papers/si-2026-ontology-graph-dual/) — 司悦航, 曾泽凡, 王博岩, et al. · 2026 - [高效提升多模态大语言模型推理能力的级联强化学习策略](https://md.research.elamur.ai/free/en/papers/wang-2026-cascade-reinforcement-learning/) — 王玮赟, 蒲恒骏, 景凌林, et al. · 2026 - [A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts](https://md.research.elamur.ai/free/en/papers/findings-2025-stoupak-classifier-word-level-variants-witnesses/) — Iglika Nikolova-Stoupak, Maxime Amblard, Sophie Robert-Hayek, et al. · 2025 - [A Derivational ChainBank for Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-marzouk-derivational-chainbank-modern-standard-arabic/) — Reham Marzouk, Sondos Krouna, Nizar Habash · 2025 - [A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI](https://md.research.elamur.ai/free/en/papers/chen-2025-rose-any-other-name-llm/) — Beiduo Chen, Siyao Peng, Anna Korhonen, et al. · 2025 - [A Survey of QUD Models for Discourse Processing](https://md.research.elamur.ai/free/en/papers/fu-2025-survey-qud-models-discourse-processing/) — Yingxue Fu · 2025 - [A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions](https://md.research.elamur.ai/free/en/papers/wu-2025-survey-llm-generated-text-detection/) — Junchao Wu, Shu Yang, Runzhe Zhan, et al. · 2025 - [An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)](https://md.research.elamur.ai/free/en/papers/burchell-2025-expanded-massive-multilingual-dataset-high/) — Laurie Burchell, Ona de Gibert, Nikolay Arefyev, et al. · 2025 - [ANLPers at AraGenEval Shared Task: Descriptive Author Tokens for Transparent Arabic Authorship Style Transfer](https://md.research.elamur.ai/free/en/papers/nacar-2025-anlpers-arageneval-shared-task-descriptive/) — Omer Nacar, Mahmoud Reda, Serry Sibaee, et al. · 2025 - [Automatic Text Segmentation of Ancient and Historic Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-rosensweig-automatic-text-segmentation-ancient-historic/) — Elisha Rosensweig, Benjamin Resnick, Hillel Gershuni, et al. · 2025 - [Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance](https://md.research.elamur.ai/free/en/papers/chen-2025-benchmarking-llms-translating-classical-chinese/) — Andong Chen, Lianzhang Lou, Kehai Chen, et al. · 2025 - [Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-riemenschneider-beyond-base-predictors-llms-resolve/) — Frederick Riemenschneider · 2025 - [Cognate Detection for Historical Language Reconstruction of Proto-Sabean Languages: the Case of Ge'ez, Tigrinya, and Amharic](https://md.research.elamur.ai/free/en/papers/coling-2025-temesgen-cognate-detection-historical-language-reconstruction/) — Elleni Sisay Temesgen, Hellina Hailu Nigatu, Fitsum Assamnew Andargie · 2025 - [Cross-Genre Learning for Old English Poetry POS Tagging](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-miani-cross-genre-learning-old-english/) — Irene Miani, Sara Stymne, Gregory R. Darwin · 2025 - [DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments](https://md.research.elamur.ai/free/en/papers/zheng-2025-deepresearcher-scaling-deep-research-reinforcement/) — Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al. · 2025 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [4](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) **5** [6](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/)