Venktesh V

According to our database, Venktesh V authored at least 35 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models.

Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand

CoRR, June, 2025

Sample Efficient Demonstration Selection for In-Context Learning.

Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand

CoRR, June, 2025

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking.

Kevin Nanekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty, Avishek Anand

CoRR, February, 2025

FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking.

Venktesh V, Vinay Setty

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LiveFC: A System for Live Fact-Checking of Audio Streams.

Venktesh V, Vinay Setty

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets.

Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ir_explain: A Python Library of Explainable IR Methods.

Sourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA.

Venktesh V, Mandeep Rathee, Avishek Anand

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking.

Kevin Nanhekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty, Avishek Anand

Proceedings of the Advances in Information Retrieval, 2025

Explainable Information Retrieval.

Avishek Anand, Sourav Saha, Venktesh V

Proceedings of the Advances in Information Retrieval, 2025

The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval.

Firoj Alam, Julia Maria Struß, Tanmoy Chakraborty, Stefan Dietze, Salim Hafid, Katerina Korre, Arianna Muti, Preslav Nakov, Federico Ruggeri, Sebastian Schellhammer, Vinay Setty, Megha Sundriyal, Konstantin Todorov, Venktesh V

Proceedings of the Advances in Information Retrieval, 2025

2024

TagRec++: Hierarchical Label Aware Attention Network for Question Categorization.

Venktesh V, Mukesh K. Mohania, Vikram Goyal

IEEE Trans. Knowl. Data Eng., July, 2024

DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs.

Venktesh V, Deepali Prabhu, Avishek Anand

CoRR, 2024

NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions.

Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty

CoRR, 2024

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims.

Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

The Surprising Effectiveness of Rankers trained on Expanded Queries.

Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning.

Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Understanding the User: An Intent-Based Ranking Dataset.

Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, December, 2023

In-Context Ability Transfer for Question Decomposition in Complex QA.

Venktesh V, Sourangshu Bhattacharya, Avishek Anand

CoRR, 2023

Context Aware Query Rewriting for Text Rankers using LLM.

Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand

CoRR, 2023

Query Understanding in the Age of Large Language Models.

Avishek Anand, Venktesh V, Abhijit Anand, Vinay Setty

CoRR, 2023

Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions.

Arun Balajiee Lekshmi Narayanan, Rully Agus Hendrawan, Venktesh V

CoRR, 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

Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms.

Maksimjeet Chowdhary, Sanyam Goyal, Venktesh V, Mukesh K. Mohania, Vikram Goyal

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MWPRanker: An Expression Similarity Based Math Word Problem Retriever.

Mayank Goel, Venktesh Viswanathan, Vikram Goyal

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems.

Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Topic Aware Contextualized Embeddings for High Quality Phrase Extraction.

Venktesh V, Mukesh K. Mohania, Vikram Goyal

Proceedings of the Advances in Information Retrieval, 2022

Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction.

Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

K-12BERT: BERT for K-12 Education.

Vasu Goel, Dhruv Sahnan, Venktesh V, Gaurav Sharma, Deep Dwivedi, Mukesh K. Mohania

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions.

Aarish Chhabra, Nandini Bansal, Venktesh V, Mukesh K. Mohania, Deep Dwivedi

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy.

Venktesh V, Mukesh K. Mohania, Vikram Goyal

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task.

Akansha Gautam, Venktesh V, Sarah Masud

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020

OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications.

Venktesh V, Pooja B. Bindal, Devesh Singhal, A. V. Subramanyam, Vivek Kumar

CoRR, 2020