activity
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 2026Show all

11 papers · 1 filter

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.AI2026

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery

Syed Rifat Raiyan, Mohsinul Kabir, Hasan Mahmud +2

Mathematical reasoning has long served as a stringent test of machine intelligence; over the past decade, it has moved from a niche problem within NLP to one of the most consequent…

cs.CY2026

When Personalization Becomes Bias: Structural and Discursive Religious Framing in AI-Generated Financial Advice

Muhammad Salar Khan, Hamza Umer, Hasan Mahmud +1

Large language models (LLMs) are increasingly integrated into financial advisory systems, yet their role in reproducing religious bias remains underexamined. This study provides sy…

cs.RO2026

When Robots Rate Their Own Interactions: Engagement Validity and the Strangeness Failure

Victor Lockwood, Hasan Mahmud, Mohammad Javad Khojasteh +2

Human-robot interaction (HRI) evaluation relies almost exclusively on human-completed questionnaires, leaving the robot's perspective unexamined. We propose an \textit{inverted eva…

cs.CY2026

LLM-Ideoplasticity: Measuring Ideological Plasticity in the Political Behavior of LLMs as a Context-Conditioned Distribution

Adib Sakhawat, Syed Rifat Raiyan, Tahsin Islam +3

We argue, with systematic empirical evidence, that a large language model's political ideology is not a fixed point, but a conditional distribution positionconte…

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.AI2026

Beyond Symbolic Solving: Multi Chain-of-Thought Voting for Geometric Reasoning in Large Language Models

Md. Abu Bakor Siddique, Shahrin Hossain, Sadman Ahmed Siam +3

Geometric Problem Solving (GPS) remains at the heart of enhancing mathematical reasoning in large language models because it requires the combination of diagrammatic understanding,…

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.CY2026

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias

Adib Sakhawat, Tahsin Islam, Takia Farhin +3

As large language models (LLMs) are increasingly deployed, understanding how they express political positioning is important for evaluating alignment and downstream effects. We aud…