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Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Keshav Santhanam, Jon Saad-Falcon, Martin Franz +7
Neural information retrieval (IR) systems have progressed rapidly in recent years, in large part due to the release of publicly available benchmarking tasks. Unfortunately, some di…
PLAID: An Efficient Engine for Late Interaction Retrieval
Keshav Santhanam, Omar Khattab, Christopher Potts +1
Pre-trained language models are increasingly important components across multiple information retrieval (IR) paradigms. Late interaction, introduced with the ColBERT model and rece…
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon +2
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-ve…
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab, Matei Zaharia
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 doc…
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search
Firas Abuzaid, Geet Sethi, Peter Bailis +1
Exact Maximum Inner Product Search (MIPS) is an important task that is widely pertinent to recommender systems and high-dimensional similarity search. The brute-force approach to s…