Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts. - Manveer Singh Tamber; Katharine Andrea Scott; Leif Toudal Pedersen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. - Ronak Pradeep; Haonan Chen; Lingwei Gu; Manveer Singh Tamber; Jimmy Lin (ECIR (3), 2023)

Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering. - Manveer Singh Tamber; Ronak Pradeep; Jimmy Lin (ECIR (3), 2023)

Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models. - Manveer Singh Tamber; Ronak Pradeep; Jimmy Lin (CoRR, 2023)

LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models. - Manveer Singh Tamber; Ronak Pradeep; Jimmy Lin (ECIR (3), 2025)

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs. - Forrest Sheng Bao; Miaoran Li; Renyi Qu; Ge Luo 002; Erana Wan; Yujia Tang; Weisi Fan; Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Mike Qi; Ruixuan Tu; et al. (NAACL (Short Papers), 2025)

Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models. - Manveer Singh Tamber; Jasper Xian; Jimmy Lin (NAACL (Findings), 2025)

Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges. - Manveer Singh Tamber; Jimmy Lin (CoRR, 2025)

Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation. - Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Jimmy Lin (CoRR, 2025)

Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards. - Manveer Singh Tamber; Forrest Sheng Bao; Chenyu Xu; Ge Luo 002; Suleman Kazi; Minseok Bae; Miaoran Li; Ofer Mendelevitch; Renyi Qu; Jimmy Lin (CoRR, 2025)

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data. - Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Jimmy Lin (CoRR, 2025)