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Understanding Tool-Integrated Reasoning

CARFT：Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning

HIPLAN：Hierarchical Planning for LLM Agents with Adaptive Global-Local Guidance

MCPVerse：An Expansive, Real-World Benchmark for Agentic Tool Use

Memento：Fine-tuning LLM Agents without Fine-tuning LLMs

Memory-R1：Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

ThinkDial：An Open Recipe for Controlling Reasoning Effort in Large Language Models

From Trial-and-Error to Improvement：A Systematic Analysis of LLM Exploration Mechanisms in RLVR

Chain-of-Agents：End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Coarse-to-Fine Grounded Memory for LLM Agent Planning