Published in ICLR 2026, 2026
This paper is about investigating the ability of Large Language Models (LLMs) to abstain from answering questions when they lack sufficient information, particularly in temporal question answering scenarios.
Download here
Published in Arxiv, 2025
This paper is about accelerating grokking phenomenon in deep learning via neural gradient transformation techniques.
Download here
Published in Arxiv, Submitted to ICLR 2025, 2024
This paper is about Influence Function on Data Filtering and Data Selection
Download here
Published in Data-centric Machine Learning Research (DMLR) Workshop, ICML, 2024
This paper is about Influence Function on Data Filtering and Data Selection
Download here
Published in Arxiv, 2024
This paper is about Meta Learning and Parameter Prediction
Download here
Published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
This paper is about document-level text simplification
Download here