--- title: "Natural language processing — papers, page 23" description: "Natural language processing: 2421 papers of the Elamur Research library · page 23 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/23/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/23/) [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 23 # 💬 Natural language processing 2421 papers · page 23 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/22/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [22](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) **23** [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) - [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) — Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al. · 2023 - [ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases](https://md.research.elamur.ai/free/en/papers/tang-2023-toolalpaca-generalized-tool-learning-language/) — Qiaoyu Tang, Ziliang Deng, Hongyu Lin, et al. · 2023 - [ToolQA: A Dataset for LLM Question Answering with External Tools](https://md.research.elamur.ai/free/en/papers/zhuang-2023-toolqa-dataset-llm-question-answering/) — Yuchen Zhuang, Yue Yu, Kuan Wang, et al. · 2023 - [Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/) — Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al. · 2023 - [Towards Making the Most of ChatGPT for Machine Translation](https://md.research.elamur.ai/free/en/papers/peng-2023-making-most-chatgpt-machine-translation/) — Keqin Peng, Liang Ding, Qihuang Zhong, et al. · 2023 - [Towards Measuring the Representation of Subjective Global Opinions in Language Models](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/) — Esin Durmus, Karina Nguyen, Thomas I. Liao, et al. · 2023 - [Towards Mitigating LLM Hallucination via Self Reflection](https://md.research.elamur.ai/free/en/papers/ji-2023-mitigating-llm-hallucination-self-reflection/) — Ziwei Ji, Tiezheng Yu, Yan Xu, et al. · 2023 - [Towards Reasoning in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/huang-2023-reasoning-large-language-models-survey/) — Jie Huang, Kevin Chen-Chuan Chang · 2023 - [Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters](https://md.research.elamur.ai/free/en/papers/wang-2023-understanding-chain-thought-prompting-empirical/) — Boshi Wang, Sewon Min, Xiang Deng, et al. · 2023 - [ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation](https://md.research.elamur.ai/free/en/papers/lin-2023-toxicchat-unveiling-hidden-challenges-toxicity/) — Zi Lin, Zihan Wang, Yongqi Tong, et al. · 2023 - [Toxicity in chatgpt: Analyzing persona-assigned language models](https://md.research.elamur.ai/free/en/papers/deshpande-2023-toxicity-chatgpt-analyzing-persona-assigned/) — Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al. · 2023 - [Transformer-based Hebrew NLP models for Short Answer Scoring in Biology](https://md.research.elamur.ai/free/en/papers/aclbulk-2023-schleifer-transformer-based-hebrew-nlp-models/) — Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, et al. · 2023 - [Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors](https://md.research.elamur.ai/free/en/papers/tang-2023-understanding-factual-errors-summarization-errors/) — Liyan Tang, Tanya Goyal, Alex Fabbri, et al. · 2023 - [Unified Demonstration Retriever for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/) — Xiaonan Li, Kai Lv, Hang Yan, et al. · 2023 - [Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor](https://md.research.elamur.ai/free/en/papers/honovich-2023-unnatural-instructions-tuning-language-models/) — Or Honovich, Thomas Scialom, Omer Levy, et al. · 2023 - [Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework](https://md.research.elamur.ai/free/en/papers/zhao-2023-verify-edit-knowledge-enhanced-chain/) — Ruochen Zhao, Xingxuan Li, Shafiq Joty, et al. · 2023 - [We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit](https://md.research.elamur.ai/free/en/papers/acl-2023-testa-we-understand-elliptical-sentences-language/) — Davide Testa, Emmanuele Chersoni, Alessandro Lenci · 2023 - [Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/) — Damai Dai, Yutao Sun, Li Dong, et al. · 2023 - [Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?](https://md.research.elamur.ai/free/en/papers/oh-2023-why-does-surprisal-larger-transformer/) — Byung-Doh Oh, William Schuler · 2023 - [xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval](https://md.research.elamur.ai/free/en/papers/khan-2023-xcodeeval-large-scale-multilingual-multitask/) — Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al. · 2023 - [ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding](https://md.research.elamur.ai/free/en/papers/shaham-2023-zeroscrolls-zero-shot-benchmark-long/) — Uri Shaham, Maor Ivgi, Avia Efrat, et al. · 2023 - [一种改进的汉语语义角色分类体系与标注实践](https://md.research.elamur.ai/free/en/papers/song-2023-fine-grained-annotated/) — 宋衡, 曹存根, 王亚, et al. · 2023 - [与知识相结合的提示学习研究综述](https://md.research.elamur.ai/free/en/papers/bao-2023-prompt-learning-combined/) — 鲍琛龙, 吕明阳, 唐晋韬, et al. · 2023 - [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](https://md.research.elamur.ai/free/en/papers/zhao-2023-construction-chinese-sentence/) — 赵继舜, 杜冰洁, 刘鹏远, et al. · 2023 - [写作智能评测研究综述和发展前景](https://md.research.elamur.ai/free/en/papers/xue-2023-systematic-automated-essay/) — 薛嗣媛, 周建设, 任福继 · 2023 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [22](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) **23** [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/)