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07/31/2023
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
The rise of large language models (LLMs) had a transformative impact on ...
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07/19/2023
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval
Traditionally, sparse retrieval systems relied on lexical representation...
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06/13/2023
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard
BEIR is a benchmark dataset for zero-shot evaluation of information retr...
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05/10/2023
Evaluating Embedding APIs for Information Retrieval
The ever-increasing size of language models curtails their widespread ac...
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04/03/2023
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
The advent of multilingual language models has generated a resurgence of...
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05/23/2022
Domain Adaptation for Memory-Efficient Dense Retrieval
Dense retrievers encode documents into fixed dimensional embeddings. How...
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12/14/2021
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
Dense retrieval approaches can overcome the lexical gap and lead to sign...
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04/17/2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Neural IR models have often been studied in homogeneous and narrow setti...
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10/16/2020
