ChipNeMo: Domain-Adapted LLMs for Chip Design
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2311.00176
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Published
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9
Articles
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Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 23 -
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models
Paper • 2311.05997 • Published • 37 -
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
Paper • 2311.05657 • Published • 32 -
JaxMARL: Multi-Agent RL Environments in JAX
Paper • 2311.10090 • Published • 8 -
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks
Paper • 2311.09835 • Published • 11 -
Large Language Models for Mathematicians
Paper • 2312.04556 • Published • 13 -
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Paper • 2312.11370 • Published • 20 -
Boundary Attention: Learning to Find Faint Boundaries at Any Resolution
Paper • 2401.00935 • Published • 18 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 50 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 71 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 285 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
AgentRxiv: Towards Collaborative Autonomous Research
Paper • 2503.18102 • Published • 25 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Learning Adaptive Parallel Reasoning with Language Models
Paper • 2504.15466 • Published • 43 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 21 -
FlowReasoner: Reinforcing Query-Level Meta-Agents
Paper • 2504.15257 • Published • 47 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 120 -
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
Paper • 2504.16891 • Published • 25 -
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 57 -
Flow-GRPO: Training Flow Matching Models via Online RL
Paper • 2505.05470 • Published • 85 -
Measuring General Intelligence with Generated Games
Paper • 2505.07215 • Published • 11 -
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Paper • 2505.19914 • Published • 43 -
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
Paper • 2506.11928 • Published • 23 -
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Paper • 2506.14234 • Published • 41 -
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
Paper • 2506.09050 • Published • 6 -
ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs
Paper • 2506.15211 • Published • 37 -
SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
Paper • 2506.15672 • Published • 15 -
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
Paper • 2505.16938 • Published • 120 -
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Paper • 2506.20639 • Published • 31 -
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 24 -
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
Paper • 2507.14111 • Published • 23 -
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 53 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 87 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 98 -
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
Paper • 2509.06949 • Published • 56 -
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
Paper • 2509.06917 • Published • 41 -
The Majority is not always right: RL training for solution aggregation
Paper • 2509.06870 • Published • 16 -
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Paper • 2509.16941 • Published • 20 -
UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios
Paper • 2509.21766 • Published • 23 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 446 -
MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
Paper • 2510.07307 • Published • 5 -
Parallel Test-Time Scaling for Latent Reasoning Models
Paper • 2510.07745 • Published • 5 -
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
Paper • 2510.14943 • Published • 37