Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning | ScienceToStartup | ScienceToStartup

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References (41)

[1]

The 2025 Planning Performance of Frontier Large Language Models

2025Augusto B. Corrêa, A. G. Pereira et al.

[2]

Emergent Coordination in Multi-Agent Language Models

2025Christoph Riedl

[3]

OptiChat: Bridging Optimization Models and Practitioners with Large Language Models

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"Developing a LLM-based interactive framework to enhance human guidance in AI planners through user-adaptive explanations."

Agents•Score: 3•View PDF ↗

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Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning

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References (41)

Founder's Pitch

"Developing a LLM-based interactive framework to enhance human guidance in AI planners through user-adaptive explanations."

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Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning

BUILDER'S SANDBOX

Build This Paper

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References (41)

Founder's Pitch

"Developing a LLM-based interactive framework to enhance human guidance in AI planners through user-adaptive explanations."

Commercial Viability Breakdown

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