From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding Paper • 2412.06474 • Published Dec 9, 2024
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment Paper • 2501.09620 • Published Jan 16
S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning Paper • 2504.06426 • Published Apr 8 • 2
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning Paper • 2503.19900 • Published Mar 25
RecoWorld: Building Simulated Environments for Agentic Recommender Systems Paper • 2509.10397 • Published Sep 12 • 7
StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding Paper • 2508.15717 • Published Aug 21 • 1
Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning Paper • 2510.05251 • Published Oct 6 • 7
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models Paper • 2508.02120 • Published Aug 4 • 19
HumanMM: Global Human Motion Recovery from Multi-shot Videos Paper • 2503.07597 • Published Mar 10 • 2
GRAPE: Generalizing Robot Policy via Preference Alignment Paper • 2411.19309 • Published Nov 28, 2024 • 47
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Paper • 2410.10139 • Published Oct 14, 2024 • 51
Quantifying Generalization Complexity for Large Language Models Paper • 2410.01769 • Published Oct 2, 2024 • 13
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases Paper • 2407.12784 • Published Jul 17, 2024 • 51
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Paper • 2407.04842 • Published Jul 5, 2024 • 55