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20192026
most citedDEPTWEET: A Typology for Social Media Texts to Detect Depression Severities

95 citations · 170 across the 32 of their papers we have counts for

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Showing 2026 · cs.CLShow all

5 papers · 2 filters

cs.CL2026

Who Receives Respect? A Counterfactual Benchmark for Honorific Allocation Bias in Bengali

Ajwad Abrar, Md Kamrul Hasan, Hasan Mahmud

Bengali has no grammatical gender, but honorificity is obligatory: every third-person reference must choose ordinary or respectful register. English has no such signal, so the syst…

cs.CL2026

How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Persona Ratings Across Multiple LLMs and Humans

Hasan Mahmud, Khawaja Abaid Ullah, Mohammad Javad Khojasteh +2

Large language models (LLMs) are increasingly used to perform subjective evaluations traditionally made by humans, yet their validity as social judges remains unclear. This paper e…

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…