Agentic Multi-Turn Reasoning: A Fairness Approach
cs.AI, cs.LG
Submitted: 2026-09-27
Updated: 2026-09-27
Project page: https://uark-cviu.github.io/projects/Phi-MPO
Terminology
Sources
- GPT-4 Technical Report
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems
- Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
- ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
- Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
- TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation
- GPT-4o System Card
- VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
- XSkill: Continual Learning from Experience and Skills in Multimodal Agents
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- ToRL: Scaling Tool-Integrated RL
- In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
- MARFT: Multi-Agent Reinforcement Fine-Tuning
- OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
- General-Reasoner: Advancing LLM Reasoning Across All Domains
- Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving
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