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2020 – today
- 2024
[j2]Jurek Leonhardt
, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders. ACM Trans. Inf. Syst. 42(5): 117:1-117:34 (2024)- [j1]Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. ACM Trans. Inf. Syst. 42(5): 119:1-119:29 (2024) - [c8]Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty:
QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims. SIGIR 2024: 650-660 - [c7]Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand:
The Surprising Effectiveness of Rankers trained on Expanded Queries. SIGIR 2024: 2652-2656 - [i10]Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty:
NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions. CoRR abs/2403.17169 (2024) - [i9]Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand:
The Surprising Effectiveness of Rankers Trained on Expanded Queries. CoRR abs/2404.02587 (2024) - [i8]Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand:
Understanding the User: An Intent-Based Ranking Dataset. CoRR abs/2408.17103 (2024) - 2023
- [c6]Jonas Wallat, Fabian Beringer, Abhijit Anand, Avishek Anand:
Probing BERT for Ranking Abilities. ECIR (2) 2023: 255-273 - [i7]Avishek Anand, Venktesh V, Abhijit Anand, Vinay Setty:
Query Understanding in the Age of Large Language Models. CoRR abs/2306.16004 (2023) - [i6]Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand:
Context Aware Query Rewriting for Text Rankers using LLM. CoRR abs/2308.16753 (2023) - [i5]Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders. CoRR abs/2311.01263 (2023) - [i4]Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. CoRR abs/2311.15426 (2023) - 2022
- [c5]Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. ICTIR 2022: 61-71 - [c4]Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes. WWW 2022: 266-276 - [i3]Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. CoRR abs/2207.03153 (2022) - 2021
- [i2]Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Fast Forward Indexes for Efficient Document Ranking. CoRR abs/2110.06051 (2021)
2010 – 2019
- 2017
- [c3]Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand:
Modeling Event Importance for Ranking Daily News Events. WSDM 2017: 231-240 - [i1]Besnik Fetahu, Abhijit Anand, Avishek Anand:
How much is Wikipedia Lagging Behind News? CoRR abs/1703.10345 (2017) - 2015
- [c2]Besnik Fetahu, Abhijit Anand, Avishek Anand:
How much is Wikipedia Lagging Behind News? WebSci 2015: 28:1-28:9 - [c1]Jaspreet Singh, Abhijit Anand, Vinay Setty, Avishek Anand:
Exploring Long Running News Stories using Wikipedia. WebSci 2015: 57:1-57:2
Coauthor Index
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