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MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
Paper • 2503.16874 • Published • 44 -
System Prompt Optimization with Meta-Learning
Paper • 2505.09666 • Published • 71 -
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning
Paper • 2505.23380 • Published • 22 -
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
Paper • 2505.23754 • Published • 15
Collections
Discover the best community collections!
Collections including paper arxiv:2505.09666
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Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 109 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
System Prompt Optimization with Meta-Learning
Paper • 2505.09666 • Published • 71 -
Visual Planning: Let's Think Only with Images
Paper • 2505.11409 • Published • 57
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 5.87k • 1.22k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 118 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63
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A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 51 -
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
Paper • 2506.05218 • Published • 2
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
Paper • 2503.16874 • Published • 44 -
System Prompt Optimization with Meta-Learning
Paper • 2505.09666 • Published • 71 -
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning
Paper • 2505.23380 • Published • 22 -
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
Paper • 2505.23754 • Published • 15
-
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 51 -
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
Paper • 2506.05218 • Published • 2
-
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 109 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
System Prompt Optimization with Meta-Learning
Paper • 2505.09666 • Published • 71 -
Visual Planning: Let's Think Only with Images
Paper • 2505.11409 • Published • 57
-
microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 5.87k • 1.22k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 118 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25