How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Paper • 2504.10766 • Published 1 day ago • 19
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing Paper • 2504.07964 • Published 6 days ago • 58
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? Paper • 2504.06514 • Published 7 days ago • 33
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Paper • 2410.23743 • Published Oct 31, 2024 • 64
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering Paper • 2401.13170 • Published Jan 24, 2024 • 4
PANDA (Pedantic ANswer-correctness Determination and Adjudication):Improving Automatic Evaluation for Question Answering and Text Generation Paper • 2402.11161 • Published Feb 17, 2024 • 1
Mosaic IT: Enhancing Instruction Tuning with Data Mosaics Paper • 2405.13326 • Published May 22, 2024 • 1
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion Paper • 2410.13674 • Published Oct 17, 2024 • 17
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion Paper • 2410.13674 • Published Oct 17, 2024 • 17
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 • 50