Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers Paper • 2506.23918 • Published 8 days ago • 71
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models Paper • 2505.14810 • Published May 20 • 62
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning Paper • 2505.08617 • Published May 13 • 42
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond Paper • 2503.21614 • Published Mar 27 • 40
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration Paper • 2503.12821 • Published Mar 17 • 9
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts Paper • 2503.05447 • Published Mar 7 • 8
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Paper • 2501.12895 • Published Jan 22 • 62
Mirror: A Universal Framework for Various Information Extraction Tasks Paper • 2311.05419 • Published Nov 9, 2023
Enhancing Low-Resource Relation Representations through Multi-View Decoupling Paper • 2312.17267 • Published Dec 26, 2023 • 1
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training Paper • 2406.16554 • Published Jun 24, 2024 • 1
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Paper • 2406.15479 • Published Jun 17, 2024 • 2
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Paper • 2406.15480 • Published Jun 17, 2024 • 2
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM Paper • 2408.12076 • Published Aug 22, 2024 • 12
Timo: Towards Better Temporal Reasoning for Language Models Paper • 2406.14192 • Published Jun 20, 2024 • 1
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning Paper • 2402.11816 • Published Feb 19, 2024
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling Paper • 2409.19291 • Published Sep 28, 2024 • 20