rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper
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2501.04519
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Published
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230
My Collection
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Learning an evolved mixture model for task-free continual learning
Paper • 2207.05080 • Published • 1 -
EVOLvE: Evaluating and Optimizing LLMs For Exploration
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Paper • 2406.04151 • Published • 19 -
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Reward Steering with Evolutionary Heuristics for Decoding-time Alignment
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Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 51 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 83 -
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Paper • 2501.03226 • Published • 35 -
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Paper • 2501.00316 • Published • 22 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 75 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 48 -
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
Paper • 2501.04575 • Published • 22 -
Efficiently Serving LLM Reasoning Programs with Certaindex
Paper • 2412.20993 • Published • 35 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 37 -
Token-Budget-Aware LLM Reasoning
Paper • 2412.18547 • Published • 45 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 45 -
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Paper • 2411.17465 • Published • 78 -
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
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AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
Paper • 2412.09605 • Published • 28 -
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
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Agents for self-driving laboratories applied to quantum computing
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Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
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AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
Paper • 2411.18015 • Published • 1 -
LLM4SR: A Survey on Large Language Models for Scientific Research
Paper • 2501.04306 • Published • 33 -
Using Generative AI and Multi-Agents to Provide Automatic Feedback
Paper • 2411.07407 • Published • 1 -
Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide Using Concordia by Google DeepMind
Paper • 2411.07038 • Published • 1 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 77 -
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
Paper • 2412.17149 • Published • 1 -
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Paper • 2501.05707 • Published • 18 -
Enabling Scalable Oversight via Self-Evolving Critic
Paper • 2501.05727 • Published • 64 -
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation
Paper • 2501.01895 • Published • 48 -
Understanding Self-Predictive Learning for Reinforcement Learning
Paper • 2212.03319 • Published -
Grokfast: Accelerated Grokking by Amplifying Slow Gradients
Paper • 2405.20233 • Published • 6 -
Rolling Diffusion Models
Paper • 2402.09470 • Published • 11 -
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
Paper • 2403.12943 • Published • 15 -
TinyFusion: Diffusion Transformers Learned Shallow
Paper • 2412.01199 • Published • 14 -
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 55 -
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Paper • 2406.09170 • Published • 26 -
Demystifying Domain-adaptive Post-training for Financial LLMs
Paper • 2501.04961 • Published • 10 -
Enhancing Human-Like Responses in Large Language Models
Paper • 2501.05032 • Published • 46 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 72 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 258 -
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
Paper • 2501.08292 • Published • 16 -
PokerBench: Training Large Language Models to become Professional Poker Players
Paper • 2501.08328 • Published • 13 -
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
Paper • 2501.07888 • Published • 12 -
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
Paper • 2501.08167 • Published • 6 -
Tensor Product Attention Is All You Need
Paper • 2501.06425 • Published • 66 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 46 -
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Paper • 2501.06842 • Published • 14 -
WebWalker: Benchmarking LLMs in Web Traversal
Paper • 2501.07572 • Published • 18 -
O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning
Paper • 2501.06458 • Published • 29 -
Evaluating Sample Utility for Data Selection by Mimicking Model Weights
Paper • 2501.06708 • Published • 5 -
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
Paper • 2501.06590 • Published • 7 -
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Paper • 2501.09751 • Published • 29 -
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Paper • 2501.08617 • Published • 7 -
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Paper • 2501.09755 • Published • 21 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 16 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 12