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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

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…

cs.CL2024

Learning to Summarize from LLM-generated Feedback

Hwanjun Song, Taewon Yun, Yuho Lee +4

Developing effective text summarizers remains a challenge due to issues like hallucinations, key information omissions, and verbosity in LLM-generated summaries. This work explores…

cs.CL2024

UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs

Yuho Lee, Taewon Yun, Jason Cai +2

Existing benchmarks for summarization quality evaluation often lack diverse input scenarios, focus on narrowly defined dimensions (e.g., faithfulness), and struggle with subjective…