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On Interacting and Writing with LLMs

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If you have a question about this talk, please contact Shun Shao .

Abstract: In this two-part talk, we will cover topics at the intersection of NLP and HCI . In the first part, we’ll cover recent work on multi-turn evaluation of LLMs, with findings indicating that LLMs tend to get “lost in conversation” when user instructions are underspecified and require interactivity from the LLM . In the second part, we will turn to writing interfaces, first introducing an interface (InkSync) that can facilitate human-AI interaction for writing (and ensure factual correctness), and then turn to a high-level question: what does it mean for LLMs to produce creative writing, and how does AI writing compare to expert-level, Prize-winning writing?

Bio: Philippe Laban is a Research Scientist at Microsoft Research, based in New York. Philippe works at the intersection of NLP (70%) and HCI (30%) and is passionate about studying and building the future of reading and writing interfaces.

This talk is part of the Language Technology Lab Seminars series.

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