Srinivasan H. Sengamedu — accepted AI-conference papers

2025

Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning

Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar, Srinivasan H. Sengamedu +1

ACL 2025long

The rapid development of Large Language Models (LLMs) has led to their widespread adoption across various domains, leveraging vast pre-training knowledge and impressive generalization capabilities. However, these models often inherit biased knowledge, resulting in unfair decisions in sensitive appli…

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2023

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM

Weijie Xu, Wenxiang Hu, Fanyou Wu, Srinivasan H. Sengamedu

EMNLP 2023long findings

In the burgeoning field of natural language processing, Neural Topic Models (NTMs) and Large Language Models (LLMs) have emerged as areas of significant research interest. Despite this, NTMs primarily utilize contextual embeddings from LLMs, which are not optimal for clustering or capable for topic…

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