Showing 1–20 of 50 results
/ Date/ Name
Jan 5, 2022Atomized Search Length: Beyond User ModelsFeb 14, 2022Transformer Memory as a Differentiable Search IndexOct 19, 2020Surprise: Result List Truncation via Extreme Value TheorySep 14, 2020Efficient Transformers: A SurveyNov 8, 2023SEMQA: Semi-Extractive Multi-Source Question AnsweringMar 24, 2025Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval EvaluationSep 15, 2018Multi-Task Learning for Email Search Ranking with Auxiliary Query ClusteringApr 26, 2020Choppy: Cut Transformer For Ranked List TruncationAug 17, 2020Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale StudyMay 2, 2020Synthesizer: Rethinking Self-Attention in Transformer ModelsFeb 9, 2021Label Smoothed Embedding Hypothesis for Out-of-Distribution DetectionDec 16, 2024Searching Personal CollectionsJun 30, 2023Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingDec 1, 2020StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language ModelingJun 19, 2019Domain Adaptation for Enterprise Email SearchMay 5, 2021Rethinking Search: Making Domain Experts out of DilettantesApr 13, 2020Reverse Engineering Configurations of Neural Text Generation ModelsJul 12, 2020HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper ProjectionsJun 29, 2021SCARF: Self-Supervised Contrastive Learning using Random Feature CorruptionMay 2, 2022Retrieval-Enhanced Machine Learning