68 citations · 342 across the 44 of their papers we have counts for
48 papers
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains
Divyanshu Raj, Chitta Baral, Nakul Gopalan
In this work, we present an approach to identify sub-tasks within a demonstrated robot trajectory using language instructions. We identify these sub-tasks using language provided d…
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis
Hong Guan, Chitta Baral
We propose a Bayesian approach for both medical inquiry and disease inference, the two major phases in differential diagnosis. Unlike previous work that simulates data from given p…
Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling
Pratyay Banerjee, Kuntal Kumar Pal, Fish Wang +1
Decompilation is the procedure of transforming binary programs into a high-level representation, such as source code, for human analysts to examine. While modern decompilers can re…
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…
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks
Man Luo, Shailaja Keyur Sampat, Riley Tallman +4
GQA~\citep{hudson2019gqa} is a dataset for real-world visual reasoning and compositional question answering. We found that many answers predicted by the best vision-language models…
Can Transformers Reason About Effects of Actions?
Pratyay Banerjee, Chitta Baral, Man Luo +4
A recent work has shown that transformers are able to "reason" with facts and rules in a limited setting where the rules are natural language expressions of conjunctions of conditi…