NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes Paper • 2504.11544 • Published Apr 15 • 42
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use Paper • 2310.03128 • Published Oct 4, 2023 • 1
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Paper • 2504.10514 • Published Apr 10 • 45
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Paper • 2504.10514 • Published Apr 10 • 45
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Paper • 2504.10766 • Published Apr 14 • 40
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing Paper • 2504.07964 • Published Apr 10 • 61
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? Paper • 2504.06514 • Published Apr 9 • 39
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? Paper • 2504.06514 • Published Apr 9 • 39
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Paper • 2410.23743 • Published Oct 31, 2024 • 64
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free Paper • 2410.10814 • Published Oct 14, 2024 • 52
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents Paper • 2410.07484 • Published Oct 9, 2024 • 51