Papers with long reasoning components

1 papers
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs (2026.findings-eacl)

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Challenge: Reinforcement learning (RL) has re-emerged as a natural approach for training interactive LLM agents in real-world environments.
Approach: They propose a variant that operates on a turn-level MDP formulation, instead of the commonly used token-level one.
Outcome: The proposed method is more robust than the widely used GRPO algorithm and more efficient than token-level MDPs.

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