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Collections including paper arxiv:2508.20722

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

ExGRPO: Learning to Reason from Experience

Paper • 2510.02245 • Published Oct 2 • 80
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published Aug 10 • 98
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Paper • 2508.19828 • Published Aug 27 • 7

FastVLM: Efficient Vision Encoding for Vision Language Models

Paper • 2412.13303 • Published Dec 17, 2024 • 72
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published Aug 22 • 53
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

Paper • 2509.12201 • Published Sep 15 • 104

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116

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 • 626
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 211

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Paper • 2406.04151 • Published Jun 6, 2024 • 24
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Paper • 2510.16872 • Published Oct 19 • 104
Scaling Generalist Data-Analytic Agents

Paper • 2509.25084 • Published Sep 29 • 18
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 117

Reading List of Motivated Papers

Toward Agentic Data Science and Analytic

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11 • 32
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

Paper • 2509.21710 • Published Sep 26 • 18
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Paper • 2506.21506 • Published Jun 26 • 51
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Efficient Agent Training for Computer Use

Paper • 2505.13909 • Published May 20 • 44
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 117

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published Aug 22 • 53
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116

advanced_reasoning

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Paper • 2406.04151 • Published Jun 6, 2024 • 24
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Paper • 2510.16872 • Published Oct 19 • 104
Scaling Generalist Data-Analytic Agents

Paper • 2509.25084 • Published Sep 29 • 18
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 117

ExGRPO: Learning to Reason from Experience

Paper • 2510.02245 • Published Oct 2 • 80
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published Aug 10 • 98
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Paper • 2508.19828 • Published Aug 27 • 7

Reading List of Motivated Papers

Toward Agentic Data Science and Analytic

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11 • 32
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

Paper • 2509.21710 • Published Sep 26 • 18
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121

FastVLM: Efficient Vision Encoding for Vision Language Models

Paper • 2412.13303 • Published Dec 17, 2024 • 72
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published Aug 22 • 53
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

Paper • 2509.12201 • Published Sep 15 • 104

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Paper • 2506.21506 • Published Jun 26 • 51
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Efficient Agent Training for Computer Use

Paper • 2505.13909 • Published May 20 • 44
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 117

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published Aug 22 • 53
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116

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 • 626
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 211

advanced_reasoning

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 116

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