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Prompt-based monte-carlo tree search for goal-oriented dialogue policy planning

4 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.

4 Pith papers citing it
1 external citations · external index

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fields

cs.CL 3 cs.AI 1

years

2026 4

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UNVERDICTED 4

roles

background 1

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background 1

representative citing papers

CA-BED: Conversation-Aware Bayesian Experimental Design

cs.CL · 2026-05-31 · unverdicted · novelty 6.0

CA-BED uses Bayesian experimental design and simulated conversation trees with LLM likelihoods to optimize multi-turn question selection, reporting 21.8% higher success rates than direct prompting on entity-deduction benchmarks.

Agentic Reasoning for Large Language Models

cs.AI · 2026-01-18 · unverdicted · novelty 4.0

The survey structures agentic reasoning for LLMs into foundational, self-evolving, and collective multi-agent layers while distinguishing in-context orchestration from post-training optimization and reviewing applications across domains.

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