ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Paper • 2504.10514 • Published 12 days ago • 45
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Paper • 2504.10766 • Published 7 days ago • 39
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? Paper • 2504.06514 • Published 13 days ago • 39
CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing Paper • 2503.10613 • Published Mar 13 • 78
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Paper • 2410.23743 • Published Oct 31, 2024 • 64
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning Paper • 2308.12032 • Published Aug 23, 2023 • 1
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning Paper • 2310.11716 • Published Oct 18, 2023 • 5
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning Paper • 2402.00530 • Published Feb 1, 2024 • 1