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Analysing Utterances in LLM-Based User Simulation for Conversational Search

https://doi.org/10.1145/3650041
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-4571(199007)41:5<313::aid-asi1>3.0.co;2-gopenalex-snapshot
Evaluating the effectiveness of information retrieval systems using simulated queries
inferredcites →https://doi.org/10.1002/asi.20350openalex-snapshot
Written versus spoken queries: A qualitative and quantitative comparative analysis
inferredcites →https://doi.org/10.1007/s10462-020-09866-xopenalex-snapshot
Survey on evaluation methods for dialogue systems
inferredcites →https://doi.org/10.1016/0020-0271(73)90004-1openalex-snapshot
A simulation model of an information retrieval system
inferredcites →https://doi.org/10.1016/j.ipm.2015.06.005openalex-snapshot
Statistical comparisons of non-deterministic IR systems using two dimensional variance
inferredcites →https://doi.org/10.1016/j.matcom.2010.11.002openalex-snapshot
A trinomial test for paired data when there are many ties
inferredcites →https://doi.org/10.1023/a:1023932221048openalex-snapshot
Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering
inferredcites →https://doi.org/10.1145/2911451.2911542openalex-snapshot
Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System
inferredcites →https://doi.org/10.1145/3020165.3020183openalex-snapshot
A Theoretical Framework for Conversational Search
inferredcites →https://doi.org/10.1145/3209978.3210002openalex-snapshot
Conversational Recommender System
inferredcites →https://doi.org/10.1145/3404835.3463241openalex-snapshot
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
inferredcites →https://doi.org/10.1145/3409256.3409817openalex-snapshot
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
inferredcites →https://doi.org/10.1145/3451160openalex-snapshot
How Am I Doing?: Evaluating Conversational Search Systems Offline
inferredcites →https://doi.org/10.1145/3451964.3451967openalex-snapshot
Dagstuhl seminar 19461 on conversational search
inferredcites →https://doi.org/10.1145/3477495.3531814openalex-snapshot
A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems
inferredcites →https://doi.org/10.1145/3477495.3531936openalex-snapshot
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.17openalex-snapshot
Few-shot Natural Language Generation for Task-Oriented Dialog
inferredcites →https://doi.org/10.18653/v1/2020.sustainlp-1openalex-snapshot
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.168openalex-snapshot
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
inferredcites →https://doi.org/10.18653/v1/d19-5602openalex-snapshot
Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_61openalex-snapshot
Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction
inferred← citeshttps://doi.org/10.1007/978-3-032-31048-4_12openalex-snapshot
Building Digital Twins of Criminal Personas: When LLM Agent Responses Are Rated More Human Than Human Responses
inferred← citeshttps://doi.org/10.1007/978-981-96-0865-2_20openalex-snapshot
Clarifying Questions Generation for Conversational Search Based on “People Also Ask” Feature
inferred← citeshttps://doi.org/10.1007/s10796-026-10777-5openalex-snapshot
Towards Conversational Dataset Retrieval: A Survey
inferred← citeshttps://doi.org/10.1016/j.dsm.2025.06.005openalex-snapshot
Integrative innovation of large language models in industries: technologies, applications, and challenges
inferred← citeshttps://doi.org/10.1080/07370024.2024.2420991openalex-snapshot
Exploring the application of LLM-based AI in UX design: an empirical case study of ChatGPT
inferred← citeshttps://doi.org/10.1109/icdew71238.2026.00026openalex-snapshot
Prompt Optimization for User Simulation in Conversational Recommender Systems: A Multi-Objective Framework
inferred← citeshttps://doi.org/10.1109/icmi65310.2025.11141085openalex-snapshot
Lusifer: LLM-Based User Simulated Feedback Environment for Online Recommender Systems
inferred← citeshttps://doi.org/10.1145/3701716.3715869openalex-snapshot
Query Understanding in LLM-based Conversational Information Seeking
inferred← citeshttps://doi.org/10.1145/3706599.3720018openalex-snapshot
Leveraging Large Language Models for Personalized Public Messaging
inferred← citeshttps://doi.org/10.1145/3708985openalex-snapshot
User Behavior Simulation with Large Language Model-based Agents
inferred← citeshttps://doi.org/10.1145/3726302.3731687openalex-snapshot
Query Understanding in LLM-based Conversational Information Seeking
inferred← citeshttps://doi.org/10.1145/3786304.3787936openalex-snapshot
Building Conversational Information Sources as Human-Centered Digital Persona Twins for Probation Officer Training
inferred← citeshttps://doi.org/10.1145/3799914.3799917openalex-snapshot
User Simulation in Practice: Lessons Learned from Three Shared Tasks
inferred← citeshttps://doi.org/10.1145/3805712.3809556openalex-snapshot
Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Conversational Search Evaluation
inferred← citeshttps://doi.org/10.1145/3809182openalex-snapshot
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with Large Language Models
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