Jayant Krishnamurthy — accepted AI-conference papers

2023

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding

Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy +4

ACL 2023findings

In a real-world dialogue system, generated text must be truthful and informative while remaining fluent and adhering to a prescribed style. Satisfying these constraints simultaneously isdifficult for the two predominant paradigms in language generation: neural language modeling and rule-based genera…

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2021

Value-Agnostic Conversational Semantic Parsing

Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo +5

ACL 2021long

Conversational semantic parsers map user utterances to executable programs given dialogue histories composed of previous utterances, programs, and system responses. Existing parsers typically condition on rich representations of history that include the complete set of values and computations previo…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2018

Structured Set Matching Networks for One-Shot Part Labeling

Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi

CVPR 2018poster

Diagrams often depict complex phenomena and serve as a good test bed for visual and textual reasoning. However, understanding diagrams using natural image understanding approaches requires large training datasets of diagrams, which are very hard to obtain. Instead, this can be addressed as a matchin…

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