AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research Paper • 2507.13300 • Published Jul 17 • 19
Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Paper • 2507.10787 • Published Jul 14 • 11
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving Paper • 2507.06229 • Published Jul 8 • 75
Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers Paper • 2507.02694 • Published Jul 3 • 19
Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure Paper • 2506.12278 • Published Jun 13 • 16
Table-R1: Inference-Time Scaling for Table Reasoning Paper • 2505.23621 • Published May 29 • 94
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Paper • 2505.15045 • Published May 21 • 54
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents Paper • 2504.00906 • Published Apr 1 • 26
PHYSICS: Benchmarking Foundation Models on University-Level Physics Problem Solving Paper • 2503.21821 • Published Mar 26 • 20
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search Paper • 2503.20757 • Published Mar 26 • 11
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing Paper • 2503.10639 • Published Mar 13 • 53
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval Paper • 2503.04644 • Published Mar 6 • 21
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Paper • 2501.12380 • Published Jan 21 • 85