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Collections including paper arxiv:2505.13909

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

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents

Paper • 2505.15277 • Published May 21 • 104
Efficient Agent Training for Computer Use

Paper • 2505.13909 • Published May 20 • 44

GUI Agent相关论文方案简要分析

Mobile-Agent-V: Learning Mobile Device Operation Through Video-Guided Multi-Agent Collaboration

Paper • 2502.17110 • Published Feb 24 • 13
WebGames: Challenging General-Purpose Web-Browsing AI Agents

Paper • 2502.18356 • Published Feb 25 • 14
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model

Paper • 2502.18906 • Published Feb 26 • 12
AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Paper • 2503.02268 • Published Mar 4 • 11

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions

Paper • 2312.08578 • Published Dec 14, 2023 • 20
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks

Paper • 2312.08583 • Published Dec 14, 2023 • 11
Vision-Language Models as a Source of Rewards

Paper • 2312.09187 • Published Dec 14, 2023 • 14
StemGen: A music generation model that listens

Paper • 2312.08723 • Published Dec 14, 2023 • 49

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

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Paper • 2503.10615 • Published Mar 13 • 17
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Paper • 2503.10630 • Published Mar 13 • 6
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 1

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

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

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents

Paper • 2505.15277 • Published May 21 • 104
Efficient Agent Training for Computer Use

Paper • 2505.13909 • Published May 20 • 44

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Paper • 2503.10615 • Published Mar 13 • 17
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Paper • 2503.10630 • Published Mar 13 • 6
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88

GUI Agent相关论文方案简要分析

Mobile-Agent-V: Learning Mobile Device Operation Through Video-Guided Multi-Agent Collaboration

Paper • 2502.17110 • Published Feb 24 • 13
WebGames: Challenging General-Purpose Web-Browsing AI Agents

Paper • 2502.18356 • Published Feb 25 • 14
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model

Paper • 2502.18906 • Published Feb 26 • 12
AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Paper • 2503.02268 • Published Mar 4 • 11

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 1

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions

Paper • 2312.08578 • Published Dec 14, 2023 • 20
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks

Paper • 2312.08583 • Published Dec 14, 2023 • 11
Vision-Language Models as a Source of Rewards

Paper • 2312.09187 • Published Dec 14, 2023 • 14
StemGen: A music generation model that listens

Paper • 2312.08723 • Published Dec 14, 2023 • 49

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