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20222026
most citedOn the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software

7 citations · 8 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Toward a Gricean Retreat: Probing LLMs for Knowledge Boundaries and Referent Specificity

Dananjay Srinivas, Saksham Khatwani, Maria Pacheco

When asked about entities outside their knowledge boundary, LLMs routinely fabricate plausible-sounding details rather than backing off to safer, more general claims. We frame this…

cs.CL2024★ 1 cited

All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing

Advait Deshmukh, Ashwin Umadi, Dananjay Srinivas +1

Due to their capacity to acquire world knowledge from large corpora, pre-trained language models (PLMs) are extensively used in ultra-fine entity typing tasks where the space of la…

cs.CL2024

Effects of Collaboration on the Performance of Interactive Theme Discovery Systems

Alvin Po-Chun Chen, Rohan Das, Dananjay Srinivas +3

NLP-assisted solutions to support qualitative data analysis have gained considerable traction. However, no unified evaluation framework exists which can account for the many differ…

cs.CL2022

System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English

Marie Grace, Xajavion "Jay" Seabrum, Dananjay Srinivas +1

The automatic detection of offensive language is a pressing societal need. Many systems perform well on explicit offensive language but struggle to detect more complex, nuanced, or…

cs.CL2022

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion

Wei-Jen Ko, Yating Wu, Cutter Dalton +3

Automatic discourse processing is bottlenecked by data: current discourse formalisms pose highly demanding annotation tasks involving large taxonomies of discourse relations, makin…