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Collections including paper arxiv:2508.04700

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

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23, 2024 • 18
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 30
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 33
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30, 2024 • 7

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

Paper • 2507.22025 • Published Jul 29 • 4
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization

Paper • 2508.05731 • Published Aug 7 • 25
VeriGUI: Verifiable Long-Chain GUI Dataset

Paper • 2508.04026 • Published Aug 6 • 160
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52

Official Implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"

Zery/SEAgent-1.0-7B

8B • Updated Aug 7 • 18 • 2
Zery/CUA_World_State_Model

Image-Text-to-Text • Updated Aug 7 • 10 • 4
Zery/WSM-7B-AgentRewardBench

Updated Aug 8 • 27 • 2
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Paper • 2508.03501 • Published Aug 5 • 59
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

Paper • 2508.01415 • Published Aug 2 • 7

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Paper • 2508.00414 • Published Aug 1 • 93
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Paper • 2506.06395 • Published Jun 5 • 133
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Paper • 2506.05176 • Published Jun 5 • 74
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 277

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

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23, 2024 • 18
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 30
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 33
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30, 2024 • 7

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Paper • 2508.03501 • Published Aug 5 • 59
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

Paper • 2508.01415 • Published Aug 2 • 7

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

Paper • 2507.22025 • Published Jul 29 • 4
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization

Paper • 2508.05731 • Published Aug 7 • 25
VeriGUI: Verifiable Long-Chain GUI Dataset

Paper • 2508.04026 • Published Aug 6 • 160
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Paper • 2508.00414 • Published Aug 1 • 93
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52

Official Implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"

Zery/SEAgent-1.0-7B

8B • Updated Aug 7 • 18 • 2
Zery/CUA_World_State_Model

Image-Text-to-Text • Updated Aug 7 • 10 • 4
Zery/WSM-7B-AgentRewardBench

Updated Aug 8 • 27 • 2
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Paper • 2506.06395 • Published Jun 5 • 133
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Paper • 2506.05176 • Published Jun 5 • 74
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 277

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