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cs.CL2026
The Abstraction Gap in Vision-Language Causal Reasoning
Chinh Hoang, Mohammad Rashedul Hasan
Vision-language models (VLMs) generate fluent causal explanations, but current evaluations cannot distinguish linguistic plausibility from faithful causal reasoning. We introduce a…
cs.CL2025
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
Ahatsham Hayat, Mohammad Rashedul Hasan
This paper presents a novel approach named \textbf{C}ontextually \textbf{R}elevant \textbf{I}mputation leveraging pre-trained \textbf{L}anguage \textbf{M}odels (\textbf{CRILM}) for…