Summary of Lossless Model Compression Via Joint Low-rank Factorization Optimization, by Boyang Zhang et al.
Lossless Model Compression via Joint Low-Rank Factorization Optimizationby Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin…
Summary of Driv3r: Learning Dense 4d Reconstruction For Autonomous Driving, by Xin Fei et al.
Driv3R: Learning Dense 4D Reconstruction for Autonomous Drivingby Xin Fei, Wenzhao Zheng, Yueqi Duan, Wei…
Summary of Enhancing Llms For Physics Problem-solving Using Reinforcement Learning with Human-ai Feedback, by Avinash Anand et al.
Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedbackby Avinash Anand, Kritarth Prasad,…
Summary of Self-interested Agents in Collaborative Machine Learning: An Incentivized Adaptive Data-centric Framework, by Nithia Vijayan and Bryan Kian Hsiang Low
Self-Interested Agents in Collaborative Machine Learning: An Incentivized Adaptive Data-Centric Frameworkby Nithia Vijayan, Bryan Kian…
Summary of Policy Agnostic Rl: Offline Rl and Online Rl Fine-tuning Of Any Class and Backbone, by Max Sobol Mark et al.
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backboneby Max…
Summary of Integrating Expert Labels Into Llm-based Emission Goal Detection: Example Selection Vs Automatic Prompt Design, by Marco Wrzalik et al.
Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Designby Marco…
Summary of Optimizing Multi-task Learning For Enhanced Performance in Large Language Models, by Zhen Qi et al.
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Modelsby Zhen Qi, Jiajing Chen, Shuo…
Summary of Mmedpo: Aligning Medical Vision-language Models with Clinical-aware Multimodal Preference Optimization, by Kangyu Zhu et al.
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimizationby Kangyu Zhu, Peng Xia, Yun…
Summary of Mosh: Modeling Multi-objective Tradeoffs with Soft and Hard Bounds, by Edward Chen et al.
MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Boundsby Edward Chen, Natalie Dullerud, Thomas Niedermayr,…
Summary of Silmm: Self-improving Large Multimodal Models For Compositional Text-to-image Generation, by Leigang Qu et al.
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generationby Leigang Qu, Haochuan Li, Wenjie Wang,…