--- title: "Natural language processing — papers, page 16" description: "Natural language processing: 2421 papers of the Elamur Research library · page 16 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/16/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/16/) [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 16 # 💬 Natural language processing 2421 papers · page 16 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/15/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [15](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) **16** [17](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) - [非自回归神经机器翻译综述](https://md.research.elamur.ai/free/en/papers/cao-2024-non-autoregressive-neural/) — 曹航, 胡驰, 肖桐, et al. · 2024 - [面向大语言模型的越狱攻击综述](https://md.research.elamur.ai/free/en/papers/li-2024-jailbreak-attack-large/) — 李南, 丁益东, 江浩宇, et al. · 2024 - [预训练模型在软件工程领域应用研究进展](https://md.research.elamur.ai/free/en/papers/gong-2024-pre-trained-model/) — 宫丽娜, 周易人, 乔羽, et al. · 2024 - [预训练神经机器翻译研究进展分析](https://md.research.elamur.ai/free/en/papers/cao-2024-pre-trained-neural/) — 曹智泉, 穆永誉, 肖桐, et al. · 2024 - ["Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures](https://md.research.elamur.ai/free/en/papers/kim-2023-pope-catholic-applying-chain-thought/) — Zae Myung Kim, David E. Taylor, Dongyeop Kang · 2023 - [A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) — Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. · 2023 - [A Survey of Corpora for Germanic Low-Resource Languages and Dialects](https://md.research.elamur.ai/free/en/papers/blaschke-2023-survey-corpora-germanic-low-resource/) — Verena Blaschke, Hinrich Schuetze, Barbara Plank · 2023 - [A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/) — Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al. · 2023 - [A Transformer-based parser for Syriac morphology](https://md.research.elamur.ai/free/en/papers/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology/) — Martijn Naaijer, Constantijn Sikkel, Mathias Coeckelbergs, et al. · 2023 - [Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization](https://md.research.elamur.ai/free/en/papers/veen-2023-adapted-large-language-models-outperform/) — Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al. · 2023 - [Adapting Language Models to Compress Contexts](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/) — Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al. · 2023 - [Adaptive Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/moslem-2023-adaptive-machine-translation-large-language/) — Yasmin Moslem, Rejwanul Haque, John D. Kelleher, et al. · 2023 - [AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/) — Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al. · 2023 - [AgentBench: Evaluating LLMs as Agents](https://md.research.elamur.ai/free/en/papers/liu-2023-agentbench-evaluating-llms-agents/) — Xiao Liu, Hao Yu, Hanchen Zhang, et al. · 2023 - [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/) — Aohan Zeng, Mingdao Liu, Rui Lu, et al. · 2023 - [Aligning Large Language Models with Human: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2023-aligning-large-language-models-human/) — Yufei Wang, Wanjun Zhong, Liangyou Li, et al. · 2023 - [AlignScore: Evaluating Factual Consistency with A Unified Alignment Function](https://md.research.elamur.ai/free/en/papers/zha-2023-alignscore-evaluating-factual-consistency-unified/) — Yuheng Zha, Yichi Yang, Ruichen Li, et al. · 2023 - [AMR-TST: Abstract Meaning Representation-based Text Style Transfer](https://md.research.elamur.ai/free/en/papers/shi-2023-amr-tst-abstract-meaning-representation/) — Kaize Shi, Xueyao Sun, Li He, et al. · 2023 - [An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) — Jiaao Chen, Derek Tam, Colin Raffel, et al. · 2023 - [An Open Dataset and Model for Language Identification](https://md.research.elamur.ai/free/en/papers/burchell-2023-open-dataset-model-language-identification/) — Laurie Burchell, Alexandra Birch, Nikolay Bogoychev, et al. · 2023 - [Analyzing Transformers in Embedding Space](https://md.research.elamur.ai/free/en/papers/dar-2023-analyzing-transformers-embedding-space/) — Guy Dar, Mor Geva, Ankit Gupta, et al. · 2023 - [Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future](https://md.research.elamur.ai/free/en/papers/cl-2023-klie-annotation-error-detection-analyzing-past/) — Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych · 2023 - [API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/) — Minghao Li, Yingxiu Zhao, Bowen Yu, et al. · 2023 - [Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study](https://md.research.elamur.ai/free/en/papers/cao-2023-assessing-cross-cultural-alignment-between/) — Yong Cao, Li Zhou, Seolhwa Lee, et al. · 2023 - [AugGPT: Leveraging ChatGPT for Text Data Augmentation](https://md.research.elamur.ai/free/en/papers/dai-2023-auggpt-leveraging-chatgpt-text-data/) — Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li · 2023 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [15](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) **16** [17](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/)