activity
20202026
most citedUser Simulation with Large Language Models for Evaluating Task-Oriented Dialogue

4 citations · 17 across the 22 of their papers we have counts for

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27 papers · 1 filter

cs.CL2026

ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders

Ofer Meshi, Krisztian Balog, Sally Goldman +5

The promise of LLM-based user simulators to improve conversational AI is hindered by a critical "realism gap," leading to systems that are optimized for simulated interactions, but…

cs.CL2025

MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization

Yinhong Liu, Jianfeng He, Hang Su +6

Multimodal Dialogue Summarization (MDS) is a critical task with wide-ranging applications. To support the development of effective MDS models, robust automatic evaluation methods a…

cs.CL2025

Controllable Conversational Theme Detection Track at DSTC 12

Igor Shalyminov, Hang Su, Jake Vincent +5

Conversational analytics has been on the forefront of transformation driven by the advances in Speech and Natural Language Processing techniques. Rapid adoption of Large Language M…

cs.CL2025

Multilingual Self-Taught Faithfulness Evaluators

Carlo Alfano, Aymen Al Marjani, Zeno Jonke +3

The growing use of large language models (LLMs) has increased the need for automatic evaluation systems, particularly to address the challenge of information hallucination. Althoug…

cs.CL2025

Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation

Mahnaz Koupaee, Jake W. Vincent, Saab Mansour +9

Faithfulness evaluators based on large language models (LLMs) are often fooled by the fluency of the text and struggle with identifying errors in the summaries. We propose an appro…

cs.CL2025

GLEAN: Active Generalized Category Discovery with Diverse LLM Feedback

Henry Peng Zou, Siffi Singh, Yi Nian +4

Generalized Category Discovery (GCD) is a practical and challenging open-world task that aims to recognize both known and novel categories in unlabeled data using limited labeled d…