Top 10 AI Research Papers to Read on 10.01.2024

Welcome to today’s edition of our AI research newsletter! In this issue, we highlight the top 10 most recent AI research papers published on October 3, 2024. From advancements in multi-object tracking and 3D garment generation to the evolving methodologies of language model reasoning and retrieval-augmented systems, these papers showcase the latest breakthroughs in artificial intelligence. Dive in and explore the innovative ideas driving the future of AI!

• Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking by Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool
• FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images by Cheng Zhang, Yuanhao Wang, Francisco Vicente Carrasco, Chenglei Wu, Jinlong Yang, Thabo Beeler, Fernando De la Torre
• Windowed MAPF with Completeness Guarantees by Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev
• When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1 by R. Thomas McCoy, Shunyu Yao, Dan Friedman, Mathew D. Hardy, Thomas L. Griffiths
• DreamGarden: A Designer Assistant for Growing Games from a Single Prompt by Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey
• Investigating on RLHF methodology by Alexey Kutalev, Sergei Markoff
• Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models by Shayekh Bin Islam, Md Asib Rahman, K S M Tozammel Hossain, Enamul Hoque, Shafiq Joty, Md Rizwan Parvez
• Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets by Yuandong Tian
• DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning by Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu
• Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning by Xingrui Gu, Guanren Qiao, Chuyi Jiang, Tianqing Xia, Hangyu Mao