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All Explained Papers · cs.AI

2114 papers in cs.AI. Page 9 of 106. ← Back to home

• arXiv:2503.20231 · physics.soc-ph+2 · submitted 2025-03-26 · explained 2026-08-19
  Dynamics of Algorithmic Content Amplification on
  Fabian Baumann, Nipun Arora, Iyad Rahwan, et al.
• arXiv:2503.18666 · cs.AI+1 · submitted 2025-03-24 · explained 2026-08-19
  Customizable Runtime Enforcement for Safe and Reliable LLM Agents
  Haoyu Wang, Christopher M. Poskitt, Jun Sun
• arXiv:2502.03349 · cs.LG+2 · submitted 2025-02-05 · explained 2026-08-19
  Robust Autonomy Emerges from Self-Play
  Marco Cusumano-Towner, David Hafner, Alex Hertzberg, et al.
• arXiv:2411.05854 · cs.MM+3 · submitted 2024-11-06 · explained 2026-08-19
  HarmfulYouTubeVideoDetection_Jo_et_al
  Claire Wonjeong Jo, Miki Wesołowska, Magdalena Wojcieszak
• arXiv:2410.06378 · stat.ML+3 · submitted 2024-10-08 · explained 2026-08-19
  Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
  Weigutian Ou, Helmut Bölcskei
• arXiv:2409.16636 · cs.CL+1 · submitted 2024-09-25 · explained 2026-08-19
  Training Language Models to Win Debates With Self-Play Improves Judge Accuracy
  Samuel Arnesen, David Rein, Julian Michael
• arXiv:2409.03219 · cs.CY+4 · submitted 2024-09-05 · explained 2026-08-19
  Content Moderation by LLM: From Accuracy to Legitimacy
  Tao Huang
• arXiv:2408.08921 · cs.AI+2 · submitted 2024-08-15 · explained 2026-08-19
  Graph Retrieval-Augmented Generation: A Survey
  Boci Peng, Yun Zhu, Yongchao Liu, et al.
• arXiv:2406.11179 · cs.LG+1 · submitted 2024-06-17 · explained 2026-08-19
  Learning Iterative Reasoning through Energy Diffusion
  Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum
• arXiv:2406.10368 · cs.LG+1 · submitted 2024-06-14 · explained 2026-08-19
  A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
  Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, et al.
• arXiv:2405.01952 · stat.ML+3 · submitted 2024-05-03 · explained 2026-08-19
  Three Quantization Regimes for ReLU Networks
  Weigutian Ou, Philipp Schenkel, Helmut Bölcskei
• arXiv:2404.08458 · stat.ML+2 · submitted 2024-04-12 · explained 2026-08-19
  On the Independence Assumption in Neurosymbolic Learning
  Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, et al.
• arXiv:2403.03218 · cs.LG+3 · submitted 2024-03-05 · explained 2026-08-19
  The WMDP Benchmark: Measuring and Reducing Use With Unlearning
  Nathaniel Li, Alexander Pan, Anjali Gopal, et al.
• arXiv:2402.10172 · cs.AI+1 · submitted 2024-02-15 · explained 2026-08-19
  OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
  Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell
• arXiv:2402.01103 · cs.LG+3 · submitted 2024-02-02 · explained 2026-08-19
  Compositional Generative Modeling: A Single Model is Not All You Need
  Yilun Du, Leslie Kaelbling
• arXiv:2310.12931 · cs.RO+2 · submitted 2023-10-19 · explained 2026-08-19
  Human-level Reward Design via Coding Large Language Models
  Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.
• arXiv:2310.00166 · cs.AI+1 · submitted 2023-09-29 · explained 2026-08-19
  Motif: Intrinsic Motivation from Artificial Intelligence Feedback
  Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, et al.
• arXiv:2305.17390 · cs.CL+4 · submitted 2023-05-27 · explained 2026-08-19
  SWIFT SAGE: A Generative Agent with
  Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.
• arXiv:2304.11477 · cs.AI+1 · submitted 2023-04-22 · explained 2026-08-19
  Empowering Large Language Models Optimal Planning Proficiency
  Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.
• arXiv:2303.13824 · cs.CL+1 · submitted 2023-03-24 · explained 2026-08-19
  $k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
  Benfeng Xu, Quan Wang, Zhendong Mao, et al.