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20212026
most citedSuccessive Subspace Learning: An Overview

14 citations · 41 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

From Noisy Retrieval to Decision Evidence: Silver Evidence Demonstrations for In-Context Learning

Masoud Monajatipoor, Fazlolah Mohaghegh, Hamid Reza Hassanzadeh +2

RAG and retrieval-augmented few-shot ICL can struggle when decision-relevant evidence is buried in long, noisy context. Retrieved passages and demonstrations may contain redundant…

cs.CL2024★ 1 cited

Medical Vision-Language Pre-Training for Brain Abnormalities

Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien +2

Vision-language models have become increasingly powerful for tasks that require an understanding of both visual and linguistic elements, bridging the gap between these modalities.…

cs.CL2024★ 11 cited

LLMs in Biomedicine: A study on clinical Named Entity Recognition

Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel +4

Large Language Models (LLMs) demonstrate remarkable versatility in various NLP tasks but encounter distinct challenges in biomedical due to the complexities of language and data sc…

cs.CL2023

MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models

Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat +2

Large-scale language models have shown the ability to adapt to a new task via conditioning on a few demonstrations (i.e., in-context learning). However, in the vision-language doma…

cs.CL2022★ 7 cited

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Hritik Bansal, Da Yin, Masoud Monajatipoor +1

Text-to-image generative models have achieved unprecedented success in generating high-quality images based on natural language descriptions. However, it is shown that these models…

cs.CL2022★ 2 cited

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models

Da Yin, Hritik Bansal, Masoud Monajatipoor +2

Recent work has shown that Pre-trained Language Models (PLMs) store the relational knowledge learned from data and utilize it for performing downstream tasks. However, commonsense…

cs.CL2021★ 5 cited

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies

Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle +3

Gender is widely discussed in the context of language tasks and when examining the stereotypes propagated by language models. However, current discussions primarily treat gender as…