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Collections including paper arxiv:2508.18106

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

Safety in Large Reasoning Models: A Survey

Paper • 2504.17704 • Published Apr 24
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

Paper • 2503.23803 • Published Mar 31 • 8
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
Where LLM Agents Fail and How They can Learn From Failures

Paper • 2509.25370 • Published Sep 29 • 11

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Paper • 2509.02544 • Published Sep 2 • 123
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 672
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 219
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

Paper • 2411.02959 • Published Nov 5, 2024 • 70
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents

Paper • 2507.04009 • Published Jul 5 • 49
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm

Paper • 2506.05218 • Published Jun 5 • 2

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 306
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 209

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 672
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 235
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 219

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 237
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 258

WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

Paper • 2509.06501 • Published Sep 8 • 78
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 219
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 189

AI-generaed code

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 672
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 235
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 219

Safety in Large Reasoning Models: A Survey

Paper • 2504.17704 • Published Apr 24
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

Paper • 2503.23803 • Published Mar 31 • 8
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
Where LLM Agents Fail and How They can Learn From Failures

Paper • 2509.25370 • Published Sep 29 • 11

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Paper • 2509.02544 • Published Sep 2 • 123
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 672
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 219
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 237
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 258

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

Paper • 2411.02959 • Published Nov 5, 2024 • 70
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents

Paper • 2507.04009 • Published Jul 5 • 49
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm

Paper • 2506.05218 • Published Jun 5 • 2

WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

Paper • 2509.06501 • Published Sep 8 • 78
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 219
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 189

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 306
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 209

AI-generaed code

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 341

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