Intent-aware Schema Generation and Refinement for Literature Review Tables

Vishakh Padmakumar·Joseph Chee Chang·Kyle Lo
EMNLP·2025·3 citations

TLDRThis work presents an approach for augmenting unannotated table corpora withSynthesized intents, and applies it to create a dataset for studying schema generation conditioned on a given information need, thus reducing ambiguity and comprehensively benchmarking several single-shot schema generation methods.

How do people cite this paper?

(generated 20 days ago)

This paper has been cited as an example of LLM-driven approaches for detecting and structuring themes across large bodies of academic publications, situating it within a growing line of research on using language models to support qualitative analysis in literature reviews.

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Intent-aware Schema Generation and Refinement for Literature Review Tables

Vishakh Padmakumar·Joseph Chee Chang·Kyle Lo
EMNLP·2025·3 citations

TLDRThis work presents an approach for augmenting unannotated table corpora withSynthesized intents, and applies it to create a dataset for studying schema generation conditioned on a given information need, thus reducing ambiguity and comprehensively benchmarking several single-shot schema generation methods.

How do people cite this paper?

(generated 20 days ago)

This paper has been cited as an example of LLM-driven approaches for detecting and structuring themes across large bodies of academic publications, situating it within a growing line of research on using language models to support qualitative analysis in literature reviews.

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