Top 10 AI Research Papers to Read on 10.07.2024

Welcome to today’s edition of our AI research newsletter! In this issue, we bring you the top 10 most recent AI research papers that are pushing the boundaries of Artificial Intelligence. From advancements in reasoning and multi-modal learning to molecule generation and AI alignment, these papers highlight the ongoing innovation in the field. Dive in and stay informed with the latest developments shaping the future of AI!

• Estimating Body and Hand Motion in an Ego-sensed World by Brent Yi, Vickie Ye, Maya Zheng, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa
• Enhance Reasoning by Learning from Mistakes: Peer-Review Knowledge Distillation from Multiple Large Language Models by Zhuochun Li, Yuelyu Ji, Rui Meng, Daqing He
• System 2 reasoning capabilities are nigh by Scott C. Lowe
• Geometric Representation Condition Improves Equivariant Molecule Generation by Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang
• GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs by Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang
• Aligning LLMs with Individual Preferences via Interaction by Shujin Wu, May Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, Heng Ji
• What Matters for Model Merging at Scale? by Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai
• TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation by Jonathan Cook, Tim Rocktäschel, Jakob Foerster, Dennis Aumiller, Alex Wang
• SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering by Jianpeng Chen, Yawen Ling, Yazhou Ren, Zichen Wen, Tianyi Wu, Shufei Zhang, Lifang He
• Understanding Reasoning in Chain-of-Thought from the Hopfieldian View by Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang