rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper
•
2501.04519
•
Published
•
244
My Collection
-
-
Learning an evolved mixture model for task-free continual learning
Paper • 2207.05080 • Published • 1 -
EVOLvE: Evaluating and Optimizing LLMs For Exploration
Paper • 2410.06238 • Published • 1 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 27 -
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?
Paper • 2404.05955 • Published -
An Evolved Universal Transformer Memory
Paper • 2410.13166 • Published • 3 -
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Paper • 2406.04151 • Published • 19 -
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Paper • 2401.04398 • Published • 23 -
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
Paper • 2410.22821 • Published • 1 -
Learning Evolving Tools for Large Language Models
Paper • 2410.06617 • Published • 2 -
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Paper • 2410.10870 • Published • 1 -
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Paper • 2406.10540 • Published • 1 -
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
Paper • 2410.16256 • Published • 60 -
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
Paper • 2407.09435 • Published • 22 -
GAVEL: Generating Games Via Evolution and Language Models
Paper • 2407.09388 • Published • 16 -
Reward Steering with Evolutionary Heuristics for Decoding-time Alignment
Paper • 2406.15193 • Published • 14 -
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 • 89 -
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Paper • 2501.03226 • Published • 37 -
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 • 78 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 50 -
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
Paper • 2501.04575 • Published • 23 -
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 • 79 -
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Paper • 2412.04454 • Published • 59 -
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
Paper • 2501.03841 • Published • 49 -
Agents for self-driving laboratories applied to quantum computing
Paper • 2412.07978 • Published • 1 -
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
Paper • 2412.11427 • Published • 1 -
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 • 80 -
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 • 19 -
Enabling Scalable Oversight via Self-Evolving Critic
Paper • 2501.05727 • Published • 69 -
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation
Paper • 2501.01895 • Published • 49 -
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 • 59 -
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 • 11 -
Enhancing Human-Like Responses in Large Language Models
Paper • 2501.05032 • Published • 49 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 85 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 268 -
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 • 13 -
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 • 75 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 50 -
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Paper • 2501.06842 • Published • 15 -
WebWalker: Benchmarking LLMs in Web Traversal
Paper • 2501.07572 • Published • 19 -
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 • 8 -
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Paper • 2501.09751 • Published • 45 -
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Paper • 2501.08617 • Published • 10 -
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Paper • 2501.09755 • Published • 33 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 35 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 22 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 68 -
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Paper • 2501.11873 • Published • 57 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 71 -
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Paper • 2501.12326 • Published • 41 -
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Paper • 2501.12368 • Published • 31 -
Reasoning Language Models: A Blueprint
Paper • 2501.11223 • Published • 19 -
Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
Paper • 2501.11733 • Published • 22 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 20 -
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
Paper • 2501.12273 • Published • 14 -
GPS as a Control Signal for Image Generation
Paper • 2501.12390 • Published • 12 -
The Geometry of Tokens in Internal Representations of Large Language Models
Paper • 2501.10573 • Published • 6 -
Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation
Paper • 2501.11900 • Published • 3 -
GameFactory: Creating New Games with Generative Interactive Videos
Paper • 2501.08325 • Published • 57 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 19 -
SEAL: Entangled White-box Watermarks on Low-Rank Adaptation
Paper • 2501.09284 • Published • 7 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 93 -
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Paper • 2501.10120 • Published • 36 -
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong
Paper • 2501.09775 • Published • 26 -
HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution
Paper • 2501.10045 • Published • 8 -
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Paper • 2501.10132 • Published • 7 -
Do generative video models learn physical principles from watching videos?
Paper • 2501.09038 • Published • 29 -
Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators
Paper • 2501.09484 • Published • 19 -
The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models
Paper • 2501.09653 • Published • 12 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 47 -
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
Paper • 2501.08828 • Published • 28 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
Paper • 2501.09019 • Published • 12 -
RepVideo: Rethinking Cross-Layer Representation for Video Generation
Paper • 2501.08994 • Published • 15 -
XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework
Paper • 2501.08809 • Published • 10 -
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
Paper • 2501.08970 • Published • 6 -
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
Paper • 2501.07783 • Published • 7 -
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding
Paper • 2501.04693 • Published • 2 -
MINIMA: Modality Invariant Image Matching
Paper • 2412.19412 • Published • 3 -
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 31 -
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
Paper • 2501.08187 • Published • 24 -
Enhancing Automated Interpretability with Output-Centric Feature Descriptions
Paper • 2501.08319 • Published • 10 -
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training
Paper • 2501.08197 • Published • 7 -
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
Paper • 2501.08284 • Published • 6 -
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training
Paper • 2501.07556 • Published • 5