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09/05/2023
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
Large-scale language models (LLMs), such as ChatGPT, are capable of gene...
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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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05/21/2023
TheoremQA: A Theorem-driven Question Answering dataset
The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in s...
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05/03/2023
Zero-Shot Listwise Document Reranking with a Large Language Model
Supervised ranking methods based on bi-encoder or cross-encoder architec...
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05/02/2023
Few-shot In-context Learning for Knowledge Base Question Answering
Question answering over knowledge bases is considered a difficult proble...
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04/24/2023
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes
Anserini is a Lucene-based toolkit for reproducible information retrieva...
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02/13/2023
SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes
This paper introduces a method called Sparsified Late Interaction for Mu...
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12/20/2022
Precise Zero-Shot Dense Retrieval without Relevance Labels
While dense retrieval has been shown effective and efficient across task...
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11/22/2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Recently, there has been significant progress in teaching language model...
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04/30/2022
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
Current pre-trained language model approaches to information retrieval c...
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04/05/2022
Towards Best Practices for Training Multilingual Dense Retrieval Models
Dense retrieval models using a transformer-based bi-encoder design have ...
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03/11/2022
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
Recent rapid advancements in deep pre-trained language models and the in...
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12/17/2021
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking
Sparse lexical representation learning has demonstrated much progress in...
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12/13/2021
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
Pseudo-Relevance Feedback (PRF) utilises the relevance signals from the ...
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11/11/2021
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
In this paper, we present an approach for predicting trust links between...
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08/19/2021
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
We present Mr. TyDi, a multi-lingual benchmark dataset for mono-lingual ...
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06/28/2021
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
Recent developments in representational learning for information retriev...
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04/12/2021
A Replication Study of Dense Passage Retriever
Text retrieval using learned dense representations has recently emerged ...
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02/19/2021
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Pyserini is an easy-to-use Python toolkit that supports replicable IR re...
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10/22/2020
