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20182025
most citedRelevance Factor VAE: Learning and Identifying Disentangled Factors

22 citations · 39 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

MINDS: A Cross-cultural Dialogue Corpus for Social Norm Classification and Adherence Detection

Pritish Sahu, Anirudh Som, Dimitra Vergyri +1

Social norms are implicit, culturally grounded expectations that guide interpersonal communication. Unlike factual commonsense, norm reasoning is subjective, context-dependent, and…

cs.CL2024

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification

Pritish Sahu, Karan Sikka, Ajay Divakaran

Large Visual Language Models (LVLMs) struggle with hallucinations in visual instruction following task(s), limiting their trustworthiness and real-world applicability. We propose P…

cs.CL20224 cited

Unpacking Large Language Models with Conceptual Consistency

Pritish Sahu, Michael Cogswell, Yunye Gong +1

If a Large Language Model (LLM) answers "yes" to the question "Are mountains tall?" then does it know what a mountain is? Can you rely on it responding correctly or incorrectly to…

cs.CL2021

Comprehension Based Question Answering using Bloom's Taxonomy

Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach +1

Current pre-trained language models have lots of knowledge, but a more limited ability to use that knowledge. Bloom's Taxonomy helps educators teach children how to use knowledge b…

cs.CL20211 cited

Towards Solving Multimodal Comprehension

Pritish Sahu, Karan Sikka, Ajay Divakaran

This paper targets the problem of procedural multimodal machine comprehension (M3C). This task requires an AI to comprehend given steps of multimodal instructions and then answer q…