Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation Paper • 2506.15068 • Published Jun 18 • 14
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations for Synthetic Videos Paper • 2505.01481 • Published May 2 • 3
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Paper • 2504.10766 • Published Apr 14 • 40
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders Paper • 2408.15998 • Published Aug 28, 2024 • 88
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models Paper • 2406.10900 • Published Jun 16, 2024 • 11
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models Paper • 2310.14566 • Published Oct 23, 2023 • 27