--- title: "Natural language processing — papers, page 11" description: "Natural language processing: 2421 papers of the Elamur Research library · page 11 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/11/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/11/) [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 11 # 💬 Natural language processing 2421 papers · page 11 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/10/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [10](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) - [Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-error-analysis-prompting-enables-human/) — Qingyu Lu, Baopu Qiu, Liang Ding, et al. · 2024 - [EuroLLM: Multilingual Language Models for Europe](https://md.research.elamur.ai/free/en/papers/martins-2024-eurollm-multilingual-language-models-europe/) — Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al. · 2024 - [Executable Code Actions Elicit Better LLM Agents](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/) — Xingyao Wang, Yangyi Chen, Lifan Yuan, et al. · 2024 - [Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/chen-2024-expanding-performance-boundaries-open/) — Zhe Chen, Weiyun Wang, Yue Cao, et al. · 2024 - [ExpertQA: Expert-Curated Questions and Attributed Answers](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) — Chaitanya Malaviya, Subin Lee, Sihao Chen, et al. · 2024 - [Exploring Human-Like Translation Strategy with Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/) — Zhiwei He, Tian Liang, Wenxiang Jiao, et al. · 2024 - [Faithful Logical Reasoning via Symbolic Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/xu-2024-faithful-logical-reasoning-symbolic-chain/) — Jundong Xu, Hao Fei, Liangming Pan, et al. · 2024 - [Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains](https://md.research.elamur.ai/free/en/papers/zouhar-2024-fine-tuned-machine-translation-metrics/) — Vilém Zouhar, Shuoyang Ding, Anna Currey, et al. · 2024 - [From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/) — Chaya Liebeskind, Marina Litvak, Natalia Vanetik · 2024 - [From Persona to Personalization: A Survey on Role-Playing Language Agents](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/) — Jiangjie Chen, Xintao Wang, Rui Xu, et al. · 2024 - [GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/) — Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al. · 2024 - [GPT系列大语言模型在自然语言处理任务中的鲁棒性](https://md.research.elamur.ai/free/en/papers/chen-2024-robustness-gpt-large/) — 陈炫婷, 叶俊杰, 祖璨, et al. · 2024 - [Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!](https://md.research.elamur.ai/free/en/papers/perrella-2024-guardians-machine-translation-meta-evaluation/) — Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al. · 2024 - [Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools](https://md.research.elamur.ai/free/en/papers/magesh-2024-hallucination-free-assessing-reliability-leading/) — Varun Magesh, Faiz Surani, Matthew Dahl, et al. · 2024 - [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) — Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al. · 2024 - [How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/) — Guanting Dong, Hongyi Yuan, Keming Lu, et al. · 2024 - [How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites](https://md.research.elamur.ai/free/en/papers/chen-2024-far-gpt-4v-closing/) — Zhe Chen, Weiyun Wang, Hao Tian, et al. · 2024 - [How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2024-how-johnny-can-persuade-llms/) — Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al. · 2024 - [How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/) — Neha Srikanth, Marine Carpuat, Rachel Rudinger · 2024 - [Human Temporal Inferences Go Beyond Aspectual Class](https://md.research.elamur.ai/free/en/papers/prus-2024-human-temporal-inferences-go-beyond/) — Katarzyna Pruś, Mark Steedman, Adam Lopez · 2024 - [HunyuanVideo: A Systematic Framework For Large Video Generative Models](https://md.research.elamur.ai/free/en/papers/kong-2024-hunyuanvideo-systematic-framework-large/) — Weijie Kong, Qi Tian, Zijian Zhang, et al. · 2024 - [Improving Text Embeddings with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-improving-text-embeddings-large-language/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2024 - [InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory](https://md.research.elamur.ai/free/en/papers/xiao-2024-infllm-training-free-long-context/) — Chaojun Xiao, Pengle Zhang, Xu Han, et al. · 2024 - [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2024-infobench-evaluating-instruction-following-ability/) — Yiwei Qin, Kaiqiang Song, Yebowen Hu, et al. · 2024 - [InstructGPT在命名实体识别任务中的表现和挑战](https://md.research.elamur.ai/free/en/papers/sun-2024-performance-challenges-instructgpt/) — 孙瑜, 颜航, 邱锡鹏, et al. · 2024 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [10](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/)