---
title: "Natural language processing — papers, page 14"
description: "Natural language processing: 2421 papers of the Elamur Research library · page 14 of 97 — our summary of each, its ideas, references and who cites it."
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# 💬 Natural language processing

2421 papers · page 14 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.

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- [pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples](https://md.research.elamur.ai/free/en/papers/lapalme-2024-pyrealb-gem-24-data-text/) — Guy Lapalme · 2024
- [Qwen2-Audio Technical Report](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/) — Yunfei Chu, Jin Xu, Qian Yang, et al. · 2024
- [Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution](https://md.research.elamur.ai/free/en/papers/wang-2024-qwen2-vl-enhancing-vision/) — Peng Wang, Shuai Bai, Sinan Tan, et al. · 2024
- [RAFT: Adapting Language Model to Domain Specific RAG](https://md.research.elamur.ai/free/en/papers/zhang-2024-raft-adapting-language-model-domain/) — Tianjun Zhang, Shishir G. Patil, Naman Jain, et al. · 2024
- [RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/niu-2024-ragtruth-hallucination-corpus-developing-trustworthy/) — Cheng Niu, Yuanhao Wu, Juno Zhu, et al. · 2024
- [RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval](https://md.research.elamur.ai/free/en/papers/sarthi-2024-raptor-recursive-abstractive-processing-tree/) — Parth Sarthi, Salman Abdullah, Aditi Tuli, et al. · 2024
- [ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-reconcile-round-table-conference-improves/) — Justin Chen, Swarnadeep Saha, Mohit Bansal · 2024
- [RedPajama: an Open Dataset for Training Large Language Models](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/) — Maurice Weber, Daniel Fu, Quentin Anthony, et al. · 2024
- [SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding](https://md.research.elamur.ai/free/en/papers/xu-2024-safedecoding-defending-against-jailbreak-attacks/) — Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al. · 2024
- [SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/) — Lijun Li, Bowen Dong, Ruohui Wang, et al. · 2024
- [Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models](https://md.research.elamur.ai/free/en/papers/levy-2024-same-task-more-tokens-impact/) — Mosh Levy, Alon Jacoby, Yoav Goldberg · 2024
- [Security and Privacy Challenges of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/) — Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu · 2024
- [SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents](https://md.research.elamur.ai/free/en/papers/cheng-2024-seeclick-harnessing-gui-grounding-advanced/) — Kanzhi Cheng, Qiushi Sun, Yougang Chu, et al. · 2024
- [Simple and Effective Masked Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/) — Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al. · 2024
- [Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2024-skywork-reward-bag-tricks/) — Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al. · 2024
- [SnapKV: LLM Knows What You are Looking for Before Generation](https://md.research.elamur.ai/free/en/papers/li-2024-snapkv-llm-knows-looking-before/) — Yuhong Li, Yingbing Huang, Bowen Yang, et al. · 2024
- [StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements](https://md.research.elamur.ai/free/en/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/) — Jillian Fisher, Skyler Hallinan, Ximing Lu, et al. · 2024
- [The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/) — Junyi Li, Jie Chen, Ruiyang Ren, et al. · 2024
- [The Gricean Maxims in NLP — A Survey](https://md.research.elamur.ai/free/en/papers/krause-2024-gricean-maxims-nlp-survey/) — Lea Krause, Piek T.J.M. Vossen · 2024
- [The Impact of Reasoning Step Length on Large Language Models](https://md.research.elamur.ai/free/en/papers/jin-2024-impact-reasoning-step-length-large/) — Mingyu Jin, Qinkai Yu, Dong Shu, et al. · 2024
- [The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings](https://md.research.elamur.ai/free/en/papers/arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew/) — Gili Goldin, Nick Howell, Noam Ordan, et al. · 2024
- [The Prompt Report: A Systematic Survey of Prompt Engineering Techniques](https://md.research.elamur.ai/free/en/papers/schulhoff-2024-prompt-report-systematic-survey-prompt/) — Sander Schulhoff, Michael Ilie, Nishant Balepur, et al. · 2024
- [The SAMER Arabic Text Simplification Corpus](https://md.research.elamur.ai/free/en/papers/alhafni-2024-samer-arabic-text-simplification-corpus/) — Bashar Alhafni, Reem Hazim, Juan David Pineros Liberato, et al. · 2024
- [To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning](https://md.research.elamur.ai/free/en/papers/sprague-2024-cot-cot-chain-thought-helps/) — Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al. · 2024
- [Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource Language](https://md.research.elamur.ai/free/en/papers/meli-2024-content-accessibility-through-lexical-simplification/) — Martina Meli, Marc Tanti, Chris Porter · 2024

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