Papers by Fangcong Yin

2 papers
Linguistic Compression in Single-Sentence Human-Written Summaries (2023.findings-emnlp)

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Challenge: Summarizing texts involves significant cognitive efforts to compress information.
Approach: They analyze linguistic patterns in human-written single-sentence summaries to find that they are generally written with morphological expansion, increased lexical diversity, and similar positional arrangements of specific words .
Outcome: The results show that human summarizers are written with morphological expansion, increased lexical diversity, and similar positional arrangements of specific words compared to the source across different genres.
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking (2025.emnlp-main)

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Challenge: Recent work has identified retrieval heads as a subset of attention heads responsible for retrieving salient information in long-context language models.
Approach: They introduce a retrieval head that uses attention scores to enhance retrieval from long context . they use QRRetriever to select the most relevant parts with the highest retrieval scores .
Outcome: The proposed retrieval heads outperform other retrieval-based retrieval retrievers on BEIR benchmarks.

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