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#interactive-reasoning

Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games

arXiv cs.AI · 2026-06-02 Cached

This paper introduces a multi-turn interactive framework for reasoning evaluation where LLMs must query a hidden environment and integrate partial observations, instantiated as a benchmark of 474 executable games across five difficulty levels, showing discriminative power and exposing differences in reasoning.

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#interactive-reasoning

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs

arXiv cs.AI · 2026-06-01 Cached

HypoAgent is an agentic framework for interactive abductive hypothesis generation over knowledge graphs, integrating three agents to handle evolving user intents and fine-grained diagnosis, achieving state-of-the-art performance.

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