--- title: "AI & machine learning — papers, page 3" description: "AI & machine learning: 240 papers of the Elamur Research library · page 3 of 10 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/ai/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/ai/page/3/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/) / page 3 # 🤖 AI & machine learning 240 papers · page 3 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. [← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) **3** [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) … [10](https://md.research.elamur.ai/free/en/shelves/ai/page/10/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) - [QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks](https://md.research.elamur.ai/free/en/papers/tseng-2024-quip-even-better-llm-quantization/) — Albert Tseng, Jerry Chee, Qingyao Sun, 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 - [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 - [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 - [ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models](https://md.research.elamur.ai/free/en/papers/baek-2024-researchagent-iterative-research-idea/) — Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al. · 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 - [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 - [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 - [The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/) — Chris Lu, Cong Lu, Robert Tjarko Lange, et al. · 2024 - [The Faiss library](https://md.research.elamur.ai/free/en/papers/douze-2024-faiss-library/) — Matthijs Douze, Alexandr Guzhva, Chengqi Deng, 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 - [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 - [WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs](https://md.research.elamur.ai/free/en/papers/han-2024-wildguard-open-one-stop-moderation/) — Seungju Han, Kavel Rao, Allyson Ettinger, et al. · 2024 - [τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains](https://md.research.elamur.ai/free/en/papers/yao-2024-tau-bench-benchmark-tool/) — Shunyu Yao, Noah Shinn, Pedram Razavi, 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 General Theoretical Paradigm to Understand Learning from Human Preferences](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/) — Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, et al. · 2023 - [A Survey of Hallucination in Large Foundation Models](https://md.research.elamur.ai/free/en/papers/rawte-2023-survey-hallucination-large-foundation-models/) — Vipula Rawte, Amit Sheth, Amitava Das · 2023 - [A Survey on Large Language Model based Autonomous Agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/) — Lei Wang, Chen Ma, Xueyang Feng, 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 - [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 - [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors](https://md.research.elamur.ai/free/en/papers/chen-2023-agentverse-facilitating-multi-agent/) — Weize Chen, Yusheng Su, Jingwei Zuo, 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 - [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/ai/page/2/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) **3** [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) … [10](https://md.research.elamur.ai/free/en/shelves/ai/page/10/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/4/)