Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs Paper • 2508.14896 • Published 4 days ago • 19
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Paper • 2507.13158 • Published Jul 17 • 24
TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation Paper • 2505.05422 • Published May 8 • 8
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach Paper • 2505.18882 • Published May 24 • 14
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? Paper • 2505.21374 • Published May 27 • 27
FlexiAct: Towards Flexible Action Control in Heterogeneous Scenarios Paper • 2505.03730 • Published May 6 • 28
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models Paper • 2504.13367 • Published Apr 17 • 25
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Paper • 2502.14296 • Published Feb 20 • 46
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts Paper • 2306.04528 • Published Jun 7, 2023 • 3