Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning Paper • 2506.07044 • Published 20 days ago • 105
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training Paper • 2506.05301 • Published 22 days ago • 55
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Paper • 2506.01939 • Published 25 days ago • 164
Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering Paper • 2505.23604 • Published 29 days ago • 24
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks Paper • 2412.14161 • Published Dec 18, 2024 • 52
Reverse Thinking Makes LLMs Stronger Reasoners Paper • 2411.19865 • Published Nov 29, 2024 • 23
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs Paper • 2410.18451 • Published Oct 24, 2024 • 20
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published Oct 22, 2024 • 95
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio Paper • 2410.12787 • Published Oct 16, 2024 • 32
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Paper • 2410.09754 • Published Oct 13, 2024 • 8
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis Paper • 2409.20059 • Published Sep 30, 2024 • 17
Course-Correction: Safety Alignment Using Synthetic Preferences Paper • 2407.16637 • Published Jul 23, 2024 • 27
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Paper • 2407.13623 • Published Jul 18, 2024 • 57