6 citations · 12 across the 20 of their papers we have counts for
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In-Context Ability Transfer for Question Decomposition in Complex QA
Venktesh V, Sourangshu Bhattacharya, Avishek Anand
Answering complex questions is a challenging task that requires question decomposition and multistep reasoning for arriving at the solution. While existing supervised and unsupervi…
Context Aware Query Rewriting for Text Rankers using LLM
Abhijit Anand, Venktesh V, Vinay Setty +1
Query rewriting refers to an established family of approaches that are applied to underspecified and ambiguous queries to overcome the vocabulary mismatch problem in document ranki…
MWPRanker: An Expression Similarity Based Math Word Problem Retriever
Mayank Goel, Venktesh V, Vikram Goyal
Math Word Problems (MWPs) in online assessments help test the ability of the learner to make critical inferences by interpreting the linguistic information in them. To test the mat…
Query Understanding in the Age of Large Language Models
Avishek Anand, Venktesh V, Abhijit Anand +1
Querying, conversing, and controlling search and information-seeking interfaces using natural language are fast becoming ubiquitous with the rise and adoption of large-language mod…
Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions
Arun Balajiee Lekshmi Narayanan, Rully Agus Hendrawan, Venktesh V
Digital textbooks have become an integral part of everyday learning tasks. In this work, we consider the use of digital textbooks for programming classes. Generally, students strug…
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising
Rishabh Gupta, Venktesh V., Mukesh Mohania +1
In this paper, we propose SCANING, an unsupervised framework for paraphrasing via controlled noise injection. We focus on the novel task of paraphrasing algebraic word problems hav…