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20242026
most citedCogniAlign: Survivability-Grounded Multi-Agent Moral Reasoning for Safe and Transparent AI

1 citations · 2 across the 10 of their papers we have counts for

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cs.CL2026

Coordinates of Capability: A Unified MTMM-Geometric Framework for LLM Evaluation

Adib Sakhawat, Tahsin Islam, Takia Farhin +3

The evaluation of Large Language Models (LLMs) faces a critical challenge in construct validity, where fragmented benchmarks and ad hoc metrics frequently conflate method variance,…

cs.CL2026

Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification

Masnun Nuha Chowdhury, Nusrat Jahan Beg, Umme Hunny Khan +3

Large language models (LLMs) remain unreliable for high-stakes claim verification due to hallucinations and shallow reasoning. While retrieval-augmented generation (RAG) and multi-…

cs.CL2026

BanglaLorica: Design and Evaluation of a Robust Watermarking Algorithm for Large Language Models in Bangla Text Generation

Amit Bin Tariqul, A N M Zahid Hossain Milkan, Sahab-Al-Chowdhury +3

As large language models (LLMs) are increasingly deployed for text generation, watermarking has become essential for authorship attribution, intellectual property protection, and m…

cs.CL2025

Bangla Sign Language Translation: Dataset Creation Challenges, Benchmarking and Prospects

Husne Ara Rubaiyeat, Hasan Mahmud, Md Kamrul Hasan

Bangla Sign Language Translation (BdSLT) has been severely constrained so far as the language itself is very low resource. Standard sentence level dataset creation for BdSLT is of…

cs.CL2025

BanglaNirTox: A Large-scale Parallel Corpus for Explainable AI in Bengali Text Detoxification

Ayesha Afroza Mohsin, Mashrur Ahsan, Nafisa Maliyat +4

Toxic language in Bengali remains prevalent, especially in online environments, with few effective precautions against it. Although text detoxification has seen progress in high-re…

cs.CL2025

Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?

Tawsif Tashwar Dipto, Azmol Hossain, Rubayet Sabbir Faruque +12

Conventional research on speech recognition modeling relies on the canonical form for most low-resource languages while automatic speech recognition (ASR) for regional dialects is…