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Collections including paper arxiv:2501.11425

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 • 2

Agent Workflow Memory

Paper • 2409.07429 • Published Sep 11, 2024 • 32
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22, 2025 • 162

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 120
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 146

LLM-Reasoning (training)

LLM reasoning papers, with RL and long COT. (Post)Training of LLM is involved.

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 447
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7, 2025 • 154
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8, 2025 • 99
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8, 2025 • 290

Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9, 2025 • 104
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Paper • 2501.10893 • Published Jan 18, 2025 • 26

Latest Agent paper

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8, 2025 • 211
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

Paper • 2507.06229 • Published Jul 8, 2025 • 77

Interesting Papers

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
System Prompt Optimization with Meta-Learning

Paper • 2505.09666 • Published May 14, 2025 • 71
Visual Planning: Let's Think Only with Images

Paper • 2505.11409 • Published May 16, 2025 • 57

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 55
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

Papers exploring autonomous AI systems and frameworks for building intelligent agents that can perceive environment, plan actions and use tools.

Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10, 2025 • 20
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8, 2025 • 290
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8, 2025 • 53
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8, 2025 • 99
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95

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 • 2

Latest Agent paper

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8, 2025 • 211
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

Paper • 2507.06229 • Published Jul 8, 2025 • 77

Agent Workflow Memory

Paper • 2409.07429 • Published Sep 11, 2024 • 32
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22, 2025 • 162

Interesting Papers

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
System Prompt Optimization with Meta-Learning

Paper • 2505.09666 • Published May 14, 2025 • 71
Visual Planning: Let's Think Only with Images

Paper • 2505.11409 • Published May 16, 2025 • 57

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 120
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 146

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17, 2025 • 115
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17, 2025 • 55
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16, 2025 • 32
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17, 2025 • 22

LLM-Reasoning (training)

LLM reasoning papers, with RL and long COT. (Post)Training of LLM is involved.

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 447
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7, 2025 • 154
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8, 2025 • 99
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8, 2025 • 290

Papers exploring autonomous AI systems and frameworks for building intelligent agents that can perceive environment, plan actions and use tools.

Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published Jan 10, 2025 • 20
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109

Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9, 2025 • 104
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20, 2025 • 109
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Paper • 2501.10893 • Published Jan 18, 2025 • 26

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8, 2025 • 290
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8, 2025 • 53
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8, 2025 • 99
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8, 2025 • 95

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