🤖 AI & machine learning204 papers · page 1 of 9 · newest first · all shelvesNeural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated.1 2 3 4 5 6 7 8 9 next →Accelerating scientific discovery with Co-ScientistJuraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.2025Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025From System 1 to System 2: A Survey of Reasoning Large Language ModelsZhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.2025KernelBench: Can LLMs Write Efficient GPU Kernels?Anne Ouyang, Simon Guo, Simran Arora, et al.2025L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningPranjal Aggarwal, Sean Welleck2025OpenAI GPT-5 System CardAaditya Singh, Adam Fry, Adam Perelman, et al.2025SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsYang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearchYutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.2025Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025$\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World DomainsShunyu Yao, Noah Shinn, Pedram Razavi, et al.2024A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsS.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.2024A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsPranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction CapabilitiesShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesJunho Myung, Nayeon Lee, Yi Zhou, et al.2024Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersChenglei Si, Diyi Yang, Tatsunori Hashimoto2024CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringNirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al.2024Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language CapabilitiesKazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.2024CultureLLM: Incorporating Cultural Differences into Large Language ModelsCheng Li, Mengzhou Chen, Jindong Wang, et al.2024DistiLLM: Towards Streamlined Distillation for Large Language ModelsJongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024EuroLLM: Multilingual Language Models for EuropePedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024Executable Code Actions Elicit Better LLM AgentsXingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.20241 2 3 4 5 6 7 8 9 next →