Abhijit Anand

PhD student, L3S Research Center

Joined

December 2023

Names

Abhijit Anand (Preferred)

Emails

****@l3s.de (Confirmed)

Personal Links

Career & Education History

PhD student

L3S Research Center (l3s.de)

2021 – 2026

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders
Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
- ACM Trans. Inf. Syst. 2024
- Readers: Everyone
Data Augmentation for Sample Efficient and Robust Document Ranking
Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand
- ACM Trans. Inf. Syst. 2024
- Readers: Everyone
NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions
Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
- Under review
- Readers: Everyone
QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
- SIGIR 2024
- Readers: Everyone
The Surprising Effectiveness of Rankers trained on Expanded Queries
Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
- SIGIR 2024
- Readers: Everyone
NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions
Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
- CoRR 2024
- Readers: Everyone
Understanding the User: An Intent-Based Ranking Dataset
Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand
- CoRR 2024
- Readers: Everyone
The Surprising Effectiveness of Rankers Trained on Expanded Queries
Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
- CoRR 2024
- Readers: Everyone
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders
Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
- CoRR 2023
- Readers: Everyone

View all 22 publications

Co-Authors