Zoher Kachwala

NaN  OSoMe  CNetS  Luddy  IU

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I am currently pursuing a PhD in Computer Science at Indiana University’s Luddy School of Informatics, Computing and Engineering, under the guidance of Professor Filippo Menczer. I am actively involved in the Observatory on Social Media and the NaN research group. I also have the privilege to collaborate with Professor Jisun An and Professor Haewoon Kwak.

My research focuses on enhancing LLM reasoning during inference, particularly at the token decoding stage. I aim to identify patterns that estimate a model’s confidence in its responses and develop methods to improve this confidence through guided decoding.

I approach this in two key ways. First, I explore diverse chains of thought and implement advanced voting/aggregation mechanisms that consider not only top-ranked answer tokens but also lower-ranked alternatives. Second, I enhance the model’s reasoning by incorporating soft signals, such as answer labels, to guide its chain of thought toward more accurate responses.

news

Oct 17, 2024 The results of the first CNetS Chocolate Tasting Workshop are finally live! 🎉 We had a panel of expert taste-testers rate 15 different chocolates on a -5 to 5 scale, and the results are full of surprises. Which chocolate reigned supreme? Which one got the cold shoulder? You’ll have to click through to find out!😏
Jun 06, 2024 My virtual NAACL24 presentation for Rematch is now live on YouTube! In this video, I delve into: 🔍 The significance of graphical representations in language, or “local knowledge graphs.” ⚖ The critical aspects we aim to optimize while keeping computational costs low. 🏆 How our algorithm, REMATCH, outperforms state-of-the-art methods in these areas.
Mar 14, 2024 My paper Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity was accepted to NAACL24!
Mar 01, 2024 My research was awarded computing resources worth $160,550 by NSF’s Jetstream2 Project!
Jun 02, 2023 Our paper A multi-platform collection of social media posts about the 2022 US midterm elections is now published at ICWSM23!

selected publications

  1. rematchflow.png
    Rematch: Robust and Efficient Matching of Local Knowledge Graphs for Improved Structural and Semantic Similarity
    Zoher Kachwala , Jisun An , Haewoon Kwak , and 1 more author
    In 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics , 2024
  2. multiplatform.png
    A multi-platform collection of social media posts about the 2022 US midterm elections
    Rachith Aiyappa , Matthew R DeVerna , Manita Pote , and 8 more authors
    In Proceedings of the International AAAI Conference on Web and Social Media , 2023
  3. The Inexplicable Efficacy of Language Models
    Rachith Aiyappa , and Zoher Kachwala
    XRDS: Crossroads, The ACM Magazine for Students, Apr 2023