Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory Paper • 2509.14662 • Published Sep 18 • 13
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory Paper • 2509.14662 • Published Sep 18 • 13
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory Paper • 2509.14662 • Published Sep 18 • 13 • 2
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR Paper • 2508.14029 • Published Aug 19 • 118
VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding Paper • 2508.07493 • Published Aug 10 • 8
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Paper • 2507.07996 • Published Jul 10 • 34
MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models Paper • 2506.23009 • Published Jun 28 • 10
Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test Paper • 2506.21551 • Published Jun 26 • 28
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Paper • 2504.10514 • Published Apr 10 • 48
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Paper • 2504.10766 • Published Apr 14 • 40
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? Paper • 2504.06514 • Published Apr 9 • 39
CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing Paper • 2503.10613 • Published Mar 13 • 79
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Paper • 2410.23743 • Published Oct 31, 2024 • 63
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