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title: "AI & machine learning — papers, page 2"
description: "AI & machine learning: 240 papers of the Elamur Research library · page 2 of 10 — our summary of each, its ideas, references and who cites it."
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# 🤖 AI & machine learning

240 papers · page 2 of 10 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Neural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated.

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- [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
- [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
- [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
- [HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal](https://md.research.elamur.ai/free/en/papers/mazeika-2024-harmbench-standardized-evaluation-framework-automated/) — Mantas Mazeika, Long Phan, Xuwang Yin, 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
- [Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) — Ben Yao, Yazhou Zhang, Qiuchi Li, et al. · 2024
- [KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache](https://md.research.elamur.ai/free/en/papers/liu-2024-kivi-tuning-free-asymmetric-2bit/) — Zirui Liu, Jiayi Yuan, Hongye Jin, et al. · 2024
- [Large Language Model based Multi-Agents: A Survey of Progress and Challenges](https://md.research.elamur.ai/free/en/papers/guo-2024-large-language-model-based/) — Taicheng Guo, Xiuying Chen, Yaqi Wang, et al. · 2024
- [Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/) — Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al. · 2024
- [Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs](https://md.research.elamur.ai/free/en/papers/balloccu-2024-leak-cheat-repeat-data-contamination/) — Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al. · 2024
- [LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders](https://md.research.elamur.ai/free/en/papers/behnamghader-2024-llm2vec-large-language-models-secretly/) — Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al. · 2024
- [LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks](https://md.research.elamur.ai/free/en/papers/bavaresco-2024-llms-instead-human-judges-large/) — Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al. · 2024
- [Long-form factuality in large language models](https://md.research.elamur.ai/free/en/papers/wei-2024-long-form-factuality-large-language/) — Jerry Wei, Chengrun Yang, Xinying Song, et al. · 2024
- [Many-Shot In-Context Learning](https://md.research.elamur.ai/free/en/papers/agarwal-2024-many-shot-context-learning/) — Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al. · 2024
- [Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads](https://md.research.elamur.ai/free/en/papers/cai-2024-medusa-simple-llm-inference-acceleration/) — Tianle Cai, Yuhong Li, Zhengyang Geng, et al. · 2024
- [MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering](https://md.research.elamur.ai/free/en/papers/chan-2024-mle-bench-evaluating-machine/) — Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al. · 2024
- [MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries](https://md.research.elamur.ai/free/en/papers/tang-2024-multihop-rag-benchmarking-retrieval-augmented/) — Yixuan Tang, Yi Yang · 2024
- [Multilingual E5 Text Embeddings: A Technical Report](https://md.research.elamur.ai/free/en/papers/wang-2024-multilingual-e5-text-embeddings-technical/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2024
- [Nemotron-4 340B Technical Report](https://md.research.elamur.ai/free/en/papers/adler-2024-nemotron-4-340b-technical-report/) — Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al. · 2024
- [Nomic Embed: Training a Reproducible Long Context Text Embedder](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/) — Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al. · 2024
- [NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/) — Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al. · 2024
- [OpenHands: An Open Platform for AI Software Developers as Generalist Agents](https://md.research.elamur.ai/free/en/papers/wang-2024-openhands-open-platform-ai/) — Xingyao Wang, Boxuan Li, Yufan Song, et al. · 2024
- [OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/) — Tianbao Xie, Danyang Zhang, Jixuan Chen, et al. · 2024
- [QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs](https://md.research.elamur.ai/free/en/papers/ashkboos-2024-quarot-outlier-free-4-bit/) — Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al. · 2024

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