7 citations · 8 across the 7 of their papers we have counts for
8 papers
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…
Explaining Hitori Puzzles: Neurosymbolic Proof Staging for Sequential Decisions
Maria Leonor Pacheco, Fabio Somenzi, Dananjay Srinivas +1
We propose a neurosymbolic approach to the explanation of complex sequences of decisions that combines the strengths of decision procedures and Large Language Models (LLMs). We dem…
Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis
John Komp, Dananjay Srinivas, Maria Pacheco +1
An (artificial cardiac) pacemaker is an implantable electronic device that sends electrical impulses to the heart to regulate the heartbeat. As the number of pacemaker users contin…
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…
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…
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
Dananjay Srinivas, Rohan Das, Saeid Tizpaz-Niari +2
Due to the ever-increasing complexity of income tax laws in the United States, the number of US taxpayers filing their taxes using tax preparation software (henceforth, tax softwar…
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…
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…