LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Paper • 2502.07563 • Published Feb 11 • 24
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Paper • 2502.16894 • Published Feb 24 • 32
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think Paper • 2503.00948 • Published Mar 2 • 3
Liger: Linearizing Large Language Models to Gated Recurrent Structures Paper • 2503.01496 • Published Mar 3 • 18
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts Paper • 2503.05447 • Published Mar 7 • 8
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration Paper • 2503.12821 • Published Mar 17 • 9
BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries Paper • 2503.12446 • Published Mar 16 • 1
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond Paper • 2503.21614 • Published Mar 27 • 42
TransMamba: Flexibly Switching between Transformer and Mamba Paper • 2503.24067 • Published Mar 31 • 21
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning Paper • 2503.19312 • Published Mar 25
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution Paper • 2403.17927 • Published Mar 26, 2024 • 1
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning Paper • 2505.08617 • Published May 13 • 41
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models Paper • 2505.14810 • Published May 20 • 62
FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow Paper • 2505.17399 • Published May 23 • 14
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards Paper • 2505.19094 • Published May 25 • 2
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models Paper • 2505.22617 • Published May 28 • 131