6 citations · 6 across the 16 of their papers we have counts for
18 papers
What Travels Across Languages? Reading, Transfer and Erasure of Cross-Lingual Concept Subspaces in Bangla Idioms
Syed Rifat Raiyan, Yousuf Ibne Kamal Niloy
Cross-lingual concept analysis requires distinguishing the information that a subspace retains from the classifiers and erasers that transfer through it. We study these operations…
Can LLMs Tell Stories Out of Order? A Corpus and Benchmark for Nonlinear Narrative Generation
Syed Rifat Raiyan, Md. Tariquzzaman, Md Farhan Ishmam +1
Every story has two orders: the order in which its events happen and the order in which they are told. A story is nonlinear when the two differ. We introduce a benchmark of 83 publ…
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…
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…
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,…
Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language Models
Syed Rifat Raiyan
The Identifiable Victim Effect (IVE) the tendency to allocate greater resources to a specific, narratively described victim than to a statistically characterized group facing e…
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,…
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-…
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…
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…
CircuitLM: A Multi-Agent LLM-Aided Design Framework for Generating Circuit Schematics from Natural Language Prompts
Khandakar Shakib Al Hasan, Syed Rifat Raiyan, Hasin Mahtab Alvee +1
Generating accurate circuit schematics from high-level natural language descriptions remains a persistent challenge in electronic design automation (EDA), as large language models…
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…
FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
Syed Rifat Raiyan, Md Farhan Ishmam, Abdullah Al Imran +1
Human communication heavily relies on laconism and inferential pragmatics, allowing listeners to successfully reconstruct rich meaning from sparse, telegraphic speech. In contrast,…
PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems
Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy +3
The discipline of physics stands as a cornerstone of human intellect, driving the evolution of technology and deepening our understanding of the fundamental principles of the cosmo…
SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding
Syed Rifat Raiyan, Md. Hasanul Kabir
Image steganography is an information-hiding technique that involves the surreptitious concealment of covert informational content within digital images. In this paper, we introduc…
HaSPeR: An Image Repository for Hand Shadow Puppet Recognition
Syed Rifat Raiyan, Zibran Zarif Amio, Sabbir Ahmed
Hand shadow puppetry, also known as shadowgraphy or ombromanie, is a form of theatrical art and storytelling where hand shadows are projected onto flat surfaces to create illusions…
Math Word Problem Solving by Generating Linguistic Variants of Problem Statements
Syed Rifat Raiyan, Md. Nafis Faiyaz, Shah Md. Jawad Kabir +3
The art of mathematical reasoning stands as a fundamental pillar of intellectual progress and is a central catalyst in cultivating human ingenuity. Researchers have recently publis…
BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Mohsinul Kabir, Obayed Bin Mahfuz, Syed Rifat Raiyan +2
The analysis of consumer sentiment, as expressed through reviews, can provide a wealth of insight regarding the quality of a product. While the study of sentiment analysis has been…