25 citations · 56 across the 25 of their papers we have counts for
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Unsupervised Natural Language Inference Using PHL Triplet Generation
Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale +1
Transformer-based models achieve impressive performance on numerous Natural Language Inference (NLI) benchmarks when trained on respective training datasets. However, in certain ca…
Semantically Distributed Robust Optimization for Vision-and-Language Inference
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee +2
Analysis of vision-and-language models has revealed their brittleness under linguistic phenomena such as paraphrasing, negation, textual entailment, and word substitutions with syn…
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang +1
Vision-and-language (V\&L) reasoning necessitates perception of visual concepts such as objects and actions, understanding semantics and language grounding, and reasoning about the…
Self-Supervised Test-Time Learning for Reading Comprehension
Pratyay Banerjee, Tejas Gokhale, Chitta Baral
Recent work on unsupervised question answering has shown that models can be trained with procedurally generated question-answer pairs and can achieve performance competitive with s…