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Collections including paper arxiv:2501.04682

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 86

URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 50
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Paper • 2410.02884 • Published Oct 3, 2024 • 54
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue

Paper • 2311.07445 • Published Nov 13, 2023

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 50
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 86

Test-Time Compute/Optimal Scaling

Scaling LLM Inference with Optimized Sample Compute Allocation

Paper • 2410.22480 • Published Oct 29, 2024
Test-time Computing: from System-1 Thinking to System-2 Thinking

Paper • 2501.02497 • Published Jan 5 • 42
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Paper • 2412.14135 • Published Dec 18, 2024
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 91

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 100
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published Jan 2 • 50
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2 • 37
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents

Paper • 2411.13552 • Published Nov 20, 2024

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 37
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 36
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 46

2025 LLM Papers on Hugging Face with Japanese Memos

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Paper • 2501.02955 • Published Jan 6 • 40
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 100
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Paper • 2501.12380 • Published Jan 21 • 84
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Paper • 2501.09781 • Published Jan 16 • 27

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