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Priyanka Kargupta @ EMNLP'24

@pkargupta.bsky.social
109 followers 291 following 6 posts

structured nlp to help models & humans critically think nlp phd candidate @UIUC_NLP | nsf grfp fellow prev: cs'22 @berkeley_ai | @IntelAI | @IBMResearch

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Priyanka Kargupta @ EMNLP'24 @pkargupta.bsky.social · 26/11/2024
hello! would appreciate being added, thank you!
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Priyanka Kargupta @ EMNLP'24 @pkargupta.bsky.social · 19/11/2024
Hello! Would love to be added to this, thank you so much!
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Priyanka Kargupta @ EMNLP'24 @pkargupta.bsky.social · 19/11/2024
TreeInstruct is preferred 78.43% of the time. It solves 14.09% more bugs across all settings, and our questions are 14.18% better at addressing bugs, maintaining relevance, and ensuring logical conversation flow. TreeInstruct also adapts to human students of varying backgrounds.
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Priyanka Kargupta @ EMNLP'24 @pkargupta.bsky.social · 19/11/2024
TreeInstruct estimates the knowledge a student needs to debug their code and devises a conversation plan. It then dynamically constructs a question tree based on its interactions with the student, navigating the knowledge state space till the student comprehends & fixes all misunderstandings &bugs.
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Priyanka Kargupta @ EMNLP'24 @pkargupta.bsky.social · 19/11/2024
github.com/agarwalishik... We apply TreeInstruct to code debugging. Prior works directly give away bugs/fixes, assume single-turn conversations, and only work for one bug. We create a realistic, multi-bug dataset, where the bugs can be either mutually independent or dependent.
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Priyanka Kargupta @ EMNLP'24 @pkargupta.bsky.social · 19/11/2024
Can LLMs make us critical thinkers? TreeInstruct reorients assistant-like LLMs to be instructors that guide students towards understanding their mistakes, without providing direct/indirect answers. Check out aclanthology.org/2024.finding... (w/ @wonderingishika.bsky.social) to learn more!
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