activity
20212025
most citedSuper-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

47 citations · 47 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Residualized Similarity for Faithfully Explainable Authorship Verification

Peter Zeng, Pegah Alipoormolabashi, Jihu Mun +5

Responsible use of Authorship Verification (AV) systems not only requires high accuracy but also interpretable solutions. More importantly, for systems to be used to make decisions…

cs.CL2025

ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models

Biddut Sarker Bijoy, Mohammad Saqib Hasan, Pegah Alipoormolabashi +3

Multi-agent systems with smaller language models (SLMs) present a viable alternative to single agent systems powered by large language models (LLMs) for addressing complex problems…

cs.CL2025

Quantifying Misattribution Unfairness in Authorship Attribution

Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian

Authorship misattribution can have profound consequences in real life. In forensic settings simply being considered as one of the potential authors of an evidential piece of text o…

cs.AI2025

: A Dataset for ynamic nformation nd ental modeling f umeric iscussions

Sayontan Ghosh, Mahnaz Koupaee, Yash Kumar Lal +4

Understanding multiparty conversations demands robust Theory of Mind (ToM) capabilities, including the ability to track dynamic information, manage knowledge asymmetries, and disti…

cs.CL2022★ 47 cited

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi +37

How well can NLP models generalize to a variety of unseen tasks when provided with task instructions? To address this question, we first introduce Super-NaturalInstructions, a benc…

cs.CL2021

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals

Te-Lin Wu, Alex Spangher, Pegah Alipoormolabashi +3

The ability to sequence unordered events is an essential skill to comprehend and reason about real world task procedures, which often requires thorough understanding of temporal co…

cs.CL2021

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

Shikhar Singh, Nuan Wen, Yu Hou +4

Commonsense reasoning is intuitive for humans but has been a long-term challenge for artificial intelligence (AI). Recent advancements in pretrained language models have shown prom…