Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chopra, Harshita, Shah, Chirag
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conversational Planning for Personal Plans
by: Christakopoulou, Konstantina, et al.
Published: (2025)

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models
by: Coscia, Adam, et al.
Published: (2025)

Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
by: Rahman, Hasibur, et al.
Published: (2025)

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
by: Baidya, Avinash, et al.
Published: (2025)

Multimodal Fusion with LLMs for Engagement Prediction in Natural Conversation
by: Ma, Cheng Charles, et al.
Published: (2024)

Towards Automated Error Discovery: A Study in Conversational AI
by: Petrak, Dominic, et al.
Published: (2025)

Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
by: Naim, Jannatun, et al.
Published: (2025)

Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback
by: Lee, Dong Won, et al.
Published: (2024)

Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations
by: Tsfasman, Maria, et al.
Published: (2024)

Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking
by: Sharma, Nikhil, et al.
Published: (2024)

Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
by: Franceschelli, Giorgio, et al.
Published: (2024)

Addressing the Ecological Fallacy in Larger LMs with Human Context
by: Soni, Nikita, et al.
Published: (2026)

Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs
by: Wu, Yang, et al.
Published: (2025)

Cognitively-Inspired Episodic Memory Architectures for Accurate and Efficient Character AI
by: Gonzalez, Rafael Arias, et al.
Published: (2025)

OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
by: Verma, Sahil, et al.
Published: (2025)

Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
by: Wang, Yifan, et al.
Published: (2024)

"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations
by: Dammu, Preetam Prabhu Srikar, et al.
Published: (2024)

From Prompt Engineering to Prompt Science With Human in the Loop
by: Shah, Chirag
Published: (2024)

Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems
by: Rajagopal, Shreya, et al.
Published: (2024)

Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
by: Handa, Kunal, et al.
Published: (2025)

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
by: Xu, Jia, et al.
Published: (2025)

Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
by: Zhang, Rongtao, et al.
Published: (2026)

Making RL with Preference-based Feedback Efficient via Randomization
by: Wu, Runzhe, et al.
Published: (2023)

From Measurement to Expertise: Empathetic Expert Adapters for Context-Based Empathy in Conversational AI Agents
by: Shayegani, Erfan, et al.
Published: (2025)

Making Language Models Better Tool Learners with Execution Feedback
by: Qiao, Shuofei, et al.
Published: (2023)

Towards End-to-End Open Conversational Machine Reading
by: Zhou, Sizhe, et al.
Published: (2022)

Does Calibration Affect Human Actions?
by: Nizri, Meir, et al.
Published: (2025)

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
by: Xi, Sarina, et al.
Published: (2025)

RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
by: Lee, Juhyeon, et al.
Published: (2026)

Toward Template-Free Explainability for Monte Carlo Tree Search
by: Lu, Siqi, et al.
Published: (2026)

A Goal-Oriented Chatbot for Engaging the Elderly Through Family Photo Conversations
by: Chung, Raymond, et al.
Published: (2026)

Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
by: Wang, Haoming, et al.
Published: (2025)

Agent Laboratory: Using LLM Agents as Research Assistants
by: Schmidgall, Samuel, et al.
Published: (2025)

Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii
by: Ayonrinde, Kola, et al.
Published: (2025)

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?
by: Jallad, Khloud AL, et al.
Published: (2025)

Value Profiles for Encoding Human Variation
by: Sorensen, Taylor, et al.
Published: (2025)

Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
by: Liu, Jonathan, et al.
Published: (2025)

Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Experiments
by: Zhang, Ziyuan, et al.
Published: (2025)

LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts
by: Mohammadi, Seyedali, et al.
Published: (2025)

Talking with Oompa Loompas: A novel framework for evaluating linguistic acquisition of LLM agents
by: Swain, Sankalp Tattwadarshi, et al.
Published: (2025)