OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications. - Venktesh V; Pooja B. Bindal; Devesh Singhal; A. V. Subramanyam; Vivek Kumar 001 (CoRR, 2020)

Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task. - Akansha Gautam; Venktesh V; Sarah Masud (CONSTRAINT@AAAI, 2021)

TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy. - Venktesh V; Mukesh K. Mohania; Vikram Goyal (ECML/PKDD (5), 2021)

Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions. - Aarish Chhabra; Nandini Bansal; Venktesh V; Mukesh K. Mohania; Deep Dwivedi (AIED (2), 2022)

K-12BERT: BERT for K-12 Education. - Vasu Goel; Dhruv Sahnan; Venktesh V; Gaurav Sharma; Deep Dwivedi; Mukesh K. Mohania (AIED (2), 2022)

Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction. - Venktesh V; Md. Shad Akhtar; Mukesh K. Mohania; Vikram Goyal (AIED (1), 2022)

Topic Aware Contextualized Embeddings for High Quality Phrase Extraction. - Venktesh V; Mukesh K. Mohania; Vikram Goyal (ECIR (1), 2022)

'John Ate 5 Apples' != 'John Ate Some Apples': Self-supervised Paraphrase Quality Detection for Algebraic Word Problems. - Rishabh Gupta; Venktesh V; Mukesh K. Mohania; Vikram Goyal (ECML/PKDD (6), 2022)

James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems. - Rishabh Gupta; Venktesh V; Mukesh K. Mohania; Vikram Goyal (CIKM, 2023)

MWPRanker: An Expression Similarity Based Math Word Problem Retriever. - Mayank Goel; Venktesh Viswanathan; Vikram Goyal (ECML/PKDD (7), 2023)

Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms. - Maksimjeet Chowdhary; Sanyam Goyal; Venktesh V; Mukesh K. Mohania; Vikram Goyal (WSDM, 2023)

Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising. - Rishabh Gupta; Venktesh V; Mukesh K. Mohania; Vikram Goyal (CoRR, 2023)

Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions. - Arun Balajiee Lekshmi Narayanan; Rully Agus Hendrawan; Venktesh V (CoRR, 2023)

Query Understanding in the Age of Large Language Models. - Avishek Anand; Venktesh V; Abhijit Anand; Vinay Setty (CoRR, 2023)

Context Aware Query Rewriting for Text Rankers using LLM. - Abhijit Anand; Venktesh V; Vinay Setty; Avishek Anand (CoRR, 2023)

In-Context Ability Transfer for Question Decomposition in Complex QA. - Venktesh V; Sourangshu Bhattacharya; Avishek Anand (CoRR, 2023)

Report on the 21st Dutch-Belgian Information Retrieval Workshop (DIR 2023). - Avishek Anand; Maria Soledad Pera; Maria Heuss; Venktesh V; Matteo Corsi (SIGIR Forum, 2023)

Understanding the User: An Intent-Based Ranking Dataset. - Abhijit Anand; Jurek Leonhardt; Venktesh V; Avishek Anand (CIKM, 2024)

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. - Kiran Purohit; Venktesh V; Raghuram Devalla; Krishna Yerragorla; Sourangshu Bhattacharya; Avishek Anand (EMNLP, 2024)

The Surprising Effectiveness of Rankers trained on Expanded Queries. - Abhijit Anand; Venktesh V; Vinay Setty; Avishek Anand (SIGIR, 2024)

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims. - Venktesh V; Abhijit Anand; Avishek Anand; Vinay Setty (SIGIR, 2024)

NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions. - Venktesh V; Abhijit Anand; Avishek Anand; Vinay Setty (CoRR, 2024)

DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs. - Venktesh V; Deepali Prabhu; Avishek Anand (CoRR, 2024)

TagRec++: Hierarchical Label Aware Attention Network for Question Categorization. - Venktesh V; Mukesh K. Mohania; Vikram Goyal (IEEE Trans. Knowl. Data Eng., 2024)

The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval. - Firoj Alam; Julia Maria Struß; Tanmoy Chakraborty 002; Stefan Dietze; Salim Hafid; Katerina Korre; Arianna Muti; Preslav Nakov; Federico Ruggeri; Sebastian Schellhammer; Vinay Setty; Megha Sundriyal; et al. (ECIR (5), 2025)

Explainable Information Retrieval. - Avishek Anand; Sourav Saha 003; Venktesh V (ECIR (5), 2025)

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. - Kevin Nanhekhan; Venktesh V; Erik Martin; Henrik Vatndal; Vinay Setty; Avishek Anand (ECIR (4), 2025)

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA. - Venktesh V; Mandeep Rathee; Avishek Anand (NAACL (Long Papers), 2025)

ir_explain: A Python Library of Explainable IR Methods. - Sourav Saha 003; Harsh Agarwal; Venktesh V; Avishek Anand; Swastik Mohanty; Debapriyo Majumdar; Mandar Mitra (SIGIR, 2025)

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. - Mandeep Rathee; Venktesh V; Sean MacAvaney; Avishek Anand (SIGIR, 2025)

LiveFC: A System for Live Fact-Checking of Audio Streams. - Venktesh V; Vinay Setty (WSDM, 2025)

FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking. - Venktesh V; Vinay Setty (WWW (Companion Volume), 2025)

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. - Kevin Nanekhan; Venktesh V; Erik Martin; Henrik Vatndal; Vinay Setty; Avishek Anand (CoRR, 2025)

Sample Efficient Demonstration Selection for In-Context Learning. - Kiran Purohit; Venktesh V; Sourangshu Bhattacharya; Avishek Anand (CoRR, 2025)

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models. - Alexandru Dumitru; Venktesh V; Adam Jatowt; Avishek Anand (CoRR, 2025)