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Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Paper • 2408.07199 • Published • 21 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 75 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 19 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 10
Collections
Discover the best community collections!
Collections including paper arxiv:2501.04682
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 91 -
ProgCo: Program Helps Self-Correction of Large Language Models
Paper • 2501.01264 • Published • 24 -
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Paper • 2501.01957 • Published • 32 -
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Paper • 2501.03226 • Published • 33
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On Memorization of Large Language Models in Logical Reasoning
Paper • 2410.23123 • Published • 18 -
LLMs Do Not Think Step-by-step In Implicit Reasoning
Paper • 2411.15862 • Published • 8 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 71 -
Deliberation in Latent Space via Differentiable Cache Augmentation
Paper • 2412.17747 • Published • 29
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 176 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 63 -
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Paper • 2410.02884 • Published • 53 -
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
Paper • 2311.07445 • Published
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 176 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 41 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 63 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 58
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Scaling LLM Inference with Optimized Sample Compute Allocation
Paper • 2410.22480 • Published -
Test-time Computing: from System-1 Thinking to System-2 Thinking
Paper • 2501.02497 • Published • 31 -
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Paper • 2412.14135 • Published -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 63
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 91 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 45 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 34 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
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Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 35 -
Token-Budget-Aware LLM Reasoning
Paper • 2412.18547 • Published • 44 -
Efficiently Serving LLM Reasoning Programs with Certaindex
Paper • 2412.20993 • Published • 32 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 45