Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure Paper • 2506.12278 • Published 5 days ago • 13
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos Paper • 2505.23693 • Published 20 days ago • 56
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models Paper • 2505.02686 • Published May 5 • 15
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Paper • 2505.15045 • Published 29 days ago • 54
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Paper • 2505.11049 • Published May 16 • 59
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Paper • 2505.15045 • Published 29 days ago • 54
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Paper • 2505.15045 • Published 29 days ago • 54 • 2
PHYSICS: Benchmarking Foundation Models on University-Level Physics Problem Solving Paper • 2503.21821 • Published Mar 26 • 17
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval Paper • 2503.04644 • Published Mar 6 • 21
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering Paper • 2412.15540 • Published Dec 20, 2024
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA Paper • 2409.16682 • Published Sep 25, 2024
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Paper • 2501.12380 • Published Jan 21 • 86