Manveer Singh Tamber

17 papers Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Contrastive Learning Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data.
ECIR (2)
Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Jimmy Lin
2026 J jnl
Unifying Adversarial Robustness and Training Across Text Scoring Models.
CoRR
Manveer Singh Tamber, Hosna Oyarhoseini, Jimmy Lin
2025 — conf
Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards.
EMNLP (Industry Track)
Manveer Singh Tamber, Forrest Sheng Bao, Chenyu Xu, Ge Luo, Suleman Kazi, Minseok Bae, Miaoran Li, Ofer Mendelevitch, Renyi Qu, Jimmy Lin
2025 J jnl
Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards.
CoRR
Manveer Singh Tamber, Forrest Sheng Bao, Chenyu Xu, Ge Luo, Suleman Kazi, Minseok Bae, Miaoran Li, Ofer Mendelevitch, Renyi Qu, Jimmy Lin
2025 — conf
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models.
NAACL (Findings)
Manveer Singh Tamber, Jasper Xian, Jimmy Lin
2025 J jnl
Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data.
CoRR
Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Jimmy Lin
2025 — conf
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs.
NAACL (Short Papers)
Forrest Sheng Bao, Miaoran Li, Renyi Qu, Ge Luo, Erana Wan, Yujia Tang, Weisi Fan, Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Mike Qi, Ruixuan Tu, Chenyu Xu, Matthew Gonzales, Ofer Mendelevitch, Amin Ahmad
2025 — conf
Illusions of Relevance: Arbitrary Content Injection Attacks Deceive Retrievers, Rerankers, and LLM Judges.
IJCNLP-AACL (Findings)
Manveer Singh Tamber, Jimmy Lin
2025 J jnl
Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges.
CoRR
Manveer Singh Tamber, Jimmy Lin
2025 — conf
LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models.
ECIR (3)
Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
2025 J jnl
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation.
CoRR
Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Jimmy Lin
2024 J jnl
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models.
CoRR
Manveer Singh Tamber, Jasper Xian, Jimmy Lin
2024 J jnl
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs.
CoRR
Forrest Sheng Bao, Miaoran Li, Renyi Qu, Ge Luo, Erana Wan, Yujia Tang, Weisi Fan, Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Mike Qi, Ruixuan Tu, Chenyu Xu, Matthew Gonzales, Ofer Mendelevitch, Amin Ahmad
2023 — conf
Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering.
ECIR (3)
Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
2023 — conf
PyGaggle: A Gaggle of Resources for Open-Domain Question Answering.
ECIR (3)
Ronak Pradeep, Haonan Chen, Lingwei Gu, Manveer Singh Tamber, Jimmy Lin
2023 J jnl
Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models.
CoRR
Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
2022 J jnl
Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Manveer Singh Tamber, Katharine Andrea Scott, Leif Toudal Pedersen