Papers by David Atkinson

2 papers
What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments (D19-1)

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Challenge: Explanations are central to everyday life, and are a topic of growing interest in the AI community.
Approach: They propose a word-level prediction task to investigate how explanations selectively reuse information from what is being explained.
Outcome: The proposed features have strong predictive power on the echoing of a word in an explanation, and enhance neural methods of generating explanations.
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs (2024.emnlp-main)

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Challenge: Current language models process text as sequences of tokens that roughly correspond to words . individual tokens are often semantically unrelated to the meanings of the words/concepts they comprise .
Approach: They propose a method to "read out" the implicit vocabulary of an autoregressive LLM by examining differences in token representations across layers.
Outcome: The proposed method "reads out" the implicit vocabulary of an autoregressive LLM by examining differences in token representations across layers.

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