3 citations · 5 across the 22 of their papers we have counts for
6 papers · 1 filter
Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks
Mohd Ruhul Ameen, Akif Islam, Nadim Mahmud +1
Statistical watermarking is a common approach for verifying whether text was written by a language model. Most existing schemes assume autoregressive generation, where tokens are p…
Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints
Md. Fahad Ullah Utsho, Mohd. Ruhul Ameen, Akif Islam +2
Large Language Models (LLMs) are increasingly described as possessing strong reasoning capabilities, supported by high performance on mathematical, logical, and planning benchmarks…
BengaliSent140: A Large-Scale Bengali Binary Sentiment Dataset for Hate and Non-Hate Speech Classification
Akif Islam, Sujan Kumar Roy, Md. Ekramul Hamid
Sentiment analysis for the Bengali language has attracted increasing research interest in recent years. However, progress remains constrained by the scarcity of large-scale and div…
Parameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection
Akif Islam, Mohd Ruhul Ameen
Bengali social media platforms have witnessed a sharp increase in hate speech, disproportionately affecting women and adolescents. While datasets such as BD-SHS provide a basis for…
KrishokBondhu: A Retrieval-Augmented Voice-Based Agricultural Advisory Call Center for Bengali Farmers
Mohd Ruhul Ameen, Akif Islam, Farjana Aktar +1
In Bangladesh, many farmers still struggle to access timely, expert-level agricultural guidance. This paper presents KrishokBondhu, a voice-enabled, call-centre-integrated advisory…
Quantifying Affective Bias in Low-Resource Media: Large-Scale Emotion Profiling of Bengali Headlines
Mohd Ruhul Ameen, Akif Islam, Ayesha Siddiqua +2
News media can influence readers not only through the events they report but also through the emotional tone used to present them. This issue is especially important in digital new…