colbertv2.0

Papers using or citing this model 5

• ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT 2.7K citations · 2020 · arXiv (Cornell University) · arXiv

  Recent progress in Natural Language Understanding (NLU) is driving fast-paced advances in Information Retrieval (IR), largely owed to fine-tuning deep language models (LMs) for document ranking. While remarkably effective, the ranking...

• ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction 923 citations · 2021 · arXiv (Cornell University) · arXiv

  Neural information retrieval (IR) has greatly advanced search and other knowledge-intensive language tasks. While many neural IR methods encode queries and documents into single-vector representations, late interaction models produce...

• PLAID: An Efficient Engine for Late Interaction Retrieval 206 citations · 2022 · arXiv (Cornell University) · arXiv

  Pre-trained language models are increasingly important components across multiple information retrieval (IR) paradigms. Late interaction, introduced with the ColBERT model and recently refined in ColBERTv2, is a popular paradigm that...

• Relevance-guided Supervision for OpenQA with ColBERT 115 citations · 2020 · Transactions of the Association for Computational Linguistics · arXiv

  Systems for Open-Domain Question Answering (OpenQA) generally depend on a retriever for finding candidate passages in a large corpus and a reader for extracting answers from those passages. In much recent work, the retriever is a...

• Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval 93 citations · 2021 · arXiv (Cornell University) · arXiv

  Multi-hop reasoning (i.e., reasoning across two or more documents) is a key ingredient for NLP models that leverage large corpora to exhibit broad knowledge. To retrieve evidence passages, multi-hop models must contend with a...