most citedParameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection

3 citations · 5 across the 19 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025★ 3 cited

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…

cs.CL2025

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…

cs.CL2025

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…