Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts
Author:
Affiliation:
1. Amazon LLC, Palo Alto, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3651947
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3. Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, and Allan Hanbury. 2020. Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. arxiv: 2010.02666 [cs.IR]
4. On Optimizing Top-K Metrics for Neural Ranking Models
5. Vladimir Karpukhin Barlas Oğuz Sewon Min Patrick Lewis Ledell Wu Sergey Edunov Danqi Chen and Wen-tau Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering.
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