Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning Paper • 2509.06461 • Published Sep 8 • 18
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR Paper • 2508.14029 • Published Aug 19 • 118
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models Paper • 2409.10132 • Published Sep 16, 2024
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation Paper • 2503.19622 • Published Mar 25 • 31
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models Paper • 2504.00573 • Published Apr 1 • 2
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models Paper • 2503.15888 • Published Mar 20 • 1
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking Paper • 2503.19602 • Published Mar 25 • 2
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Paper • 2507.03253 • Published Jul 4 • 18
A Survey of Context Engineering for Large Language Models Paper • 2507.13334 • Published Jul 17 • 257
MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning Paper • 2507.16812 • Published Jul 22 • 63
A Survey of Context Engineering for Large Language Models Paper • 2507.13334 • Published Jul 17 • 257
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Paper • 2507.03253 • Published Jul 4 • 18
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Paper • 2507.03253 • Published Jul 4 • 18 • 1
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models Paper • 2503.15888 • Published Mar 20 • 1 • 1