Papers by Kent Chang

2 papers
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4 (2023.emnlp-main)

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Challenge: a recent study has shown that open AI models memorize a wide collection of copyrighted materials . however, these models also present a challenge for establishing the validity of results .
Approach: They propose to use a name cloze membership inference query to infer books that are known to ChatGPT and GPT-4.
Outcome: The proposed model performs better on memorized books than on non-memorized books for downstream tasks.
Dramatic Conversation Disentanglement (2023.findings-acl)

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Challenge: a new dataset is available for studying conversation disentanglement in movies and TV series . a recent study focused on IRC chatroom dialogues, but movies and television show provide a space for study .
Approach: They propose a dataset for studying conversation disentanglement in movies and TV series . they operationalize a conversational thread and apply the best-performing model to 808 movies .
Outcome: The proposed model disentangles 808 movies from 10,033 dialogue turns . the best-performing model is compared with previous models .

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