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4 days ago
4 days agoCollections
Discover the best community collections!
Collections including paper arxiv:2508.18106
Collection by
Oct 2
Oct 2-
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 673 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 236 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224
Collection by
Sep 29
Sep 29Collection by
Sep 21
Sep 21-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 237 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 258
Collection by
Sep 21
Sep 21-
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 78 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 192
Collection by
14 days ago
14 days ago-
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 531 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 481 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 256
Collection by
Oct 16
Oct 16-
Safety in Large Reasoning Models: A Survey
Paper • 2504.17704 • Published -
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
Paper • 2503.23803 • Published • 8 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
Where LLM Agents Fail and How They can Learn From Failures
Paper • 2509.25370 • Published • 11
Collection by
Sep 30
Sep 30-
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Paper • 2509.02544 • Published • 123 -
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 673 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344
Collection by
Sep 17
Sep 17-
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
Collection by
Sep 14
Sep 14-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 625 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 308 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 209
Collection by
4 days ago
4 days agoCollection by
14 days ago
14 days ago-
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 531 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 481 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 256
Collection by
Oct 2
Oct 2-
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 673 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 236 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224
Collection by
Oct 16
Oct 16-
Safety in Large Reasoning Models: A Survey
Paper • 2504.17704 • Published -
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
Paper • 2503.23803 • Published • 8 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
Where LLM Agents Fail and How They can Learn From Failures
Paper • 2509.25370 • Published • 11
Collection by
Sep 29
Sep 29Collection by
Sep 30
Sep 30-
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Paper • 2509.02544 • Published • 123 -
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 673 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344
Collection by
Sep 21
Sep 21-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 237 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 258
Collection by
Sep 17
Sep 17-
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
Collection by
Sep 21
Sep 21-
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 78 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 344 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 224 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 192
Collection by
Sep 14
Sep 14-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 625 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 299 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 308 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 209