Nov 9, 2025 · Xiyan Fu and Eve Fleisig. 2024. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). …

The ACL 2024 Student Research Workshop (SRW) is a forum to bring together students investigating various areas of Computational Linguistics, Natural Language Processing and …

I'm a fifth-year PhD student in computer science at UC Berkeley, advised by Dan Klein. My research lies at the intersection of natural language processing (NLP) and AI ethics: how can …

Nov 11, 2025 · To achieve this, we explore methods of data generation suitable for sentence embedding learning in this study. Specifically, we will focus on automatic dataset generation …

4 days ago · Large Language Models (LLMs) can potentially overcome this challenge by contextually learning the meanings of words via pretraining. In this paper, we study two …

Nov 11, 2025 · In this work, we present experiments on the automatic summarization of scientific articles using BART models, taking into account textual information coming from distinct …

4 days ago · State of the art Symbolic Regression (SR) methods currently build specialized models, while the application of Large Language Models (LLMs) remains largely unexplored.

Thanks again to all the mentors who helped out!

Xiyan Fu, Eve Fleisig: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Student Research Workshop, Bangkok, Thailand, …

In this work, we introduce the first comprehensive framework that utilizes LLMs for the task of SR. We propose In-Context Symbolic Regression (ICSR), an SR method which iteratively refines a …