Papers by Ekata Mitra

2 papers
MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings (2023.findings-emnlp)

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Challenge: Existing metrics for engagingness evaluate the response without the conversation history, are designed for one dataset, or have limited correlation with human annotations.
Approach: They propose to use large language models to evaluate engagingness in dialogue . they propose to include prompts and translated prompts in the model .
Outcome: The proposed model outperforms existing methods on evaluation of engagingness in dialogue across languages.
ThreadSumm: Summarization of Nested Discourse Threads Using Tree of Thoughts (2026.acl-long)

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Challenge: Discussion forums have nested structures that are difficult to navigate and can attract off-topic replies that get interleaved with the author's own continuation posts.
Approach: They propose a multi-stage LLM framework that treats thread summarization as a hierarchical reasoning problem over explicit aspect and content unit representations.
Outcome: The proposed framework improves the quality of nested discussion thread summarizations while retaining aspect retention and opinion coverage.

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