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GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing Paper • 2503.10639 • Published Mar 13, 2025 • 53
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs Paper • 2503.02003 • Published Mar 3, 2025 • 47
TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding Paper • 2502.19400 • Published Feb 26, 2025 • 47
SurveyX: Academic Survey Automation via Large Language Models Paper • 2502.14776 • Published Feb 20, 2025 • 100
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published Jan 8, 2025 • 289
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Paper • 2501.05707 • Published Jan 10, 2025 • 20
VideoRAG: Retrieval-Augmented Generation over Video Corpus Paper • 2501.05874 • Published Jan 10, 2025 • 74
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level Paper • 2411.03562 • Published Nov 5, 2024 • 70
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4, 2025 • 103
MALT: Improving Reasoning with Multi-Agent LLM Training Paper • 2412.01928 • Published Dec 2, 2024 • 46
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability Paper • 2411.19943 • Published Nov 29, 2024 • 63
BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments Paper • 2410.23918 • Published Oct 31, 2024 • 21
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Paper • 2410.22366 • Published Oct 28, 2024 • 84