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20222026
most citedParameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning

2 citations · 6 across the 15 of their papers we have counts for

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Showing 2025 · cs.CLShow all

5 papers · 2 filters

cs.CL2025

Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation

Sina Abdidizaji, Md Kowsher, Niloofar Yousefi +1

In the era of digitalization, as individuals increasingly rely on digital platforms for communication and news consumption, various actors employ linguistic strategies to influence…

cs.CL2025

FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models

Md Kowsher, Nusrat Jahan Prottasha, Shiyun Xu +4

Bidirectional language models have better context understanding and perform better than unidirectional models on natural language understanding tasks, yet the theoretical reasons b…

cs.CL2025★ 1 cited

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models

Nusrat Jahan Prottasha, Upama Roy Chowdhury, Shetu Mohanto +7

Large models such as Large Language Models (LLMs) and Vision Language Models (VLMs) have transformed artificial intelligence, powering applications in natural language processing,…

cs.CL2025

User Profile with Large Language Models: Construction, Updating, and Benchmarking

Nusrat Jahan Prottasha, Md Kowsher, Hafijur Raman +4

User profile modeling plays a key role in personalized systems, as it requires building accurate profiles and updating them with new information. In this paper, we present two high…

cs.CL2025

Predicting Through Generation: Why Generation Is Better for Prediction

Md Kowsher, Nusrat Jahan Prottasha, Prakash Bhat +6

This paper argues that generating output tokens is more effective than using pooled representations for prediction tasks because token-level generation retains more mutual informat…