Papers with compression approach

2 papers
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation (N19-1)

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Challenge: a study of long documents that do not include short sections in their titles shows that they improve comprehension and speed .
Approach: They propose to extract the most salient sentence and apply deletion-based compression to generate section titles in low-resource environments.
Outcome: The proposed approach outperforms other methods in low-resource environments while outperforming other approaches.
Efficient Long Context Language Model Retrieval with Compression (2025.acl-long)

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Challenge: Long Context Language Models (LCLMs) are a new paradigm for Information Retrieval . however, processing large number of passages within in-context for retrieval is computationally expensive . a proposed compression approach for LCLM retrieval maximizes retrieval performance while minimizing the length of the compressed passages.
Approach: They propose a new compression approach tailored to maximize retrieval performance while minimizing the length of compressed passages.
Outcome: The proposed approach maximizes retrieval performance while minimizing the length of compressed passages while reducing the in-context size by 1.91.

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