publications

publications in reversed chronological order.

2025

  1. AACL
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    Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges
    Manveer Singh Tamber, and Jimmy Lin
    2025
    PDF
  2. EMNLP
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    Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards
    Manveer Singh Tamber, Forrest Sheng Bao, Chenyu Xu, and 7 more authors
    2025
    PDF Poster
  3. ECIR
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    LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models
    Manveer Singh Tamber, Ronak Pradeep, and Jimmy Lin
    In Advances in Information Retrieval, 2025
    PDF Poster
  4. arXiv
    Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data
    Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, and 1 more author
    2025
    PDF
  5. NAACL
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    FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
    Forrest Sheng Bao, Miaoran Li, Renyi Qu, and 13 more authors
    In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), Apr 2025
    PDF
  6. NAACL
    Can‘t Hide Behind the API: Stealing Black-Box Commercial Embedding Models
    Manveer Singh Tamber, Jasper Xian, and Jimmy Lin
    In Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
    PDF

2023

  1. arXiv
    Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models
    Manveer Singh Tamber, Ronak Pradeep, and Jimmy Lin
    Apr 2023
    PDF
  2. ECIR
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    Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering
    Manveer Singh Tamber, Ronak Pradeep, and Jimmy Lin
    In Advances in Information Retrieval, Apr 2023
    PDF
  3. ECIR
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    PyGaggle: A Gaggle of Resources for Open-Domain Question Answering
    Ronak Pradeep, Haonan Chen, Lingwei Gu, and 2 more authors
    In Advances in Information Retrieval, Apr 2023
    PDF

2022

  1. IEEE JSTARS
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    Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts
    Manveer Singh Tamber, K. Andrea Scott, and Leif Toudal Pedersen
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Apr 2022
    PDF

2021

  1. IEEE ANTEM
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    Experiments with estimation of sea ice concentration using a convolutional neural network and microwave data
    K. Andrea Scott, and Manveer Singh Tamber
    In 2021 IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), Apr 2021
    PDF