Papers by Tony Lee

2 papers
Do Question Answering Modeling Improvements Hold Across Benchmarks? (2023.acl-long)

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Challenge: a new study finds that human-constructed and downsampled benchmarks hold more concurrence than downsampled benchmarks.
Approach: They propose to measure concurrence between two QA benchmarks on a set of 20 models . they find that human-constructed benchmarks have high concurrence amongst themselves .
Outcome: The proposed models hold broadly across the diverse landscape of question answering (QA) benchmarks.
Think, Verbalize, then Speak: Bridging Complex Thoughts and Comprehensible Speech (2025.emnlp-main)

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Challenge: Existing approaches to decouple LLMs from spoken communication produce suboptimal results due to mismatches between optimal textual and verbal delivery.
Approach: They propose a framework that decouples reasoning from spoken delivery to preserve the full reasoning capacity of LLMs.
Outcome: The proposed framework preserves full reasoning capacity of large language models . it improves speech naturalness and conciseness with minimal impact on reasoning .

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