--- title: "AI & machine learning — papers" description: "AI & machine learning: 209 papers of the Elamur Research library · page 1 of 9 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/ai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/ai/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / AI & machine learning # 🤖 AI & machine learning 209 papers · page 1 of 9 · 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. **1** [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) [6](https://md.research.elamur.ai/free/en/shelves/ai/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/ai/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/ai/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) - [Accelerating scientific discovery with Co-Scientist](https://md.research.elamur.ai/free/en/papers/gottweis-2025-accelerating-scientific-discovery-co/) — Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al. · 2025 - [Agent Laboratory: Using LLM Agents as Research Assistants](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/) — Samuel Schmidgall, Yusheng Su, Ze Wang, et al. · 2025 - [Fanar: An Arabic-Centric Multimodal Generative AI Platform](https://md.research.elamur.ai/free/en/papers/abbas-2025-fanar-arabic-centric-multimodal-generative/) — Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al. · 2025 - [From System 1 to System 2: A Survey of Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/) — Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al. · 2025 - [KernelBench: Can LLMs Write Efficient GPU Kernels?](https://md.research.elamur.ai/free/en/papers/ouyang-2025-kernelbench-llms-write-efficient-gpu/) — Anne Ouyang, Simon Guo, Simran Arora, et al. · 2025 - [L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/aggarwal-2025-l1-controlling-long-reasoning-model/) — Pranjal Aggarwal, Sean Welleck · 2025 - [LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High](https://md.research.elamur.ai/free/en/papers/sieker-2025-llms-struggle-reject-false-presuppositions/) — Judith Sieker, Clara Lachenmaier, Sina Zarrieß · 2025 - [OpenAI GPT-5 System Card](https://md.research.elamur.ai/free/en/papers/singh-2025-openai-gpt-5-system-card/) — Aaditya Singh, Adam Fry, Adam Perelman, et al. · 2025 - [SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/) — Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al. · 2025 - [Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/) — Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al. · 2025 - [The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search](https://md.research.elamur.ai/free/en/papers/yamada-2025-ai-scientist-v2-workshop/) — Yutaro Yamada, Robert Tjarko Lange, Cong Lu, et al. · 2025 - [Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) — Qiguang Chen, Libo Qin, Jinhao Liu, et al. · 2025 - [A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models](https://md.research.elamur.ai/free/en/papers/tonmoy-2024-comprehensive-survey-hallucination-mitigation-techniques/) — S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al. · 2024 - [A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications](https://md.research.elamur.ai/free/en/papers/sahoo-2024-systematic-survey-prompt-engineering-large/) — Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha · 2024 - [Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities](https://md.research.elamur.ai/free/en/papers/arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm/) — Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al. · 2024 - [BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/) — Junho Myung, Nayeon Lee, Yi Zhou, et al. · 2024 - [Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/) — Chenglei Si, Diyi Yang, Tatsunori Hashimoto · 2024 - [CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering](https://md.research.elamur.ai/free/en/papers/wiratunga-2024-cbr-rag-case-based-reasoning/) — Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al. · 2024 - [Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities](https://md.research.elamur.ai/free/en/papers/fujii-2024-continual-pre-training-cross-lingual/) — Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al. · 2024 - [CultureLLM: Incorporating Cultural Differences into Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/) — Cheng Li, Mengzhou Chen, Jindong Wang, et al. · 2024 - [DistiLLM: Towards Streamlined Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/) — Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al. · 2024 - [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 - [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 **1** [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) [6](https://md.research.elamur.ai/free/en/shelves/ai/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/ai/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/ai/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) - [next shelf → Ancient Hebrew](https://md.research.elamur.ai/free/en/shelves/hbo/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)