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09/17/2023
ChatGPT Hallucinates when Attributing Answers
Can ChatGPT provide evidence to support its answers? Does the evidence i...
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09/12/2023
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
Search methods based on Pretrained Language Models (PLM) have demonstrat...
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09/11/2023
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation
Screening prioritisation in medical systematic reviews aims to rank the ...
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07/04/2023
An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems
Federated online learning to rank (FOLTR) aims to preserve user privacy ...
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06/30/2023
Outcome-based Evaluation of Systematic Review Automation
Current methods of evaluating search strategies and automated citation s...
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06/29/2023
Exploring the Representation Power of SPLADE Models
The SPLADE (SParse Lexical AnD Expansion) model is a highly effective ap...
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06/29/2023
Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models
As in other fields of artificial intelligence, the information retrieval...
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05/06/2023
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval
Effective cross-lingual dense retrieval methods that rely on multilingua...
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04/17/2023
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval
Current dense retrievers (DRs) are limited in their ability to effective...
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02/23/2023
Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness
Generative pre-trained language models (GPLMs) like ChatGPT encode in th...
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02/03/2023
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Systematic reviews are comprehensive reviews of the literature for a hig...
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12/21/2022
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents
Decisions in agriculture are increasingly data-driven; however, valuable...
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12/18/2022
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction
Boolean query construction is often critical for medical systematic revi...
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12/18/2022
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search
Medical systematic reviews typically require assessing all the documents...
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11/29/2022
Dependency-aware Self-training for Entity Alignment
Entity Alignment (EA), which aims to detect entity mappings (i.e. equiva...
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11/29/2022
Guiding Neural Entity Alignment with Compatibility
Entity Alignment (EA) aims to find equivalent entities between two Knowl...
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09/19/2022
Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search
High-quality medical systematic reviews require comprehensive literature...
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08/22/2022
High-quality Task Division for Large-scale Entity Alignment
Entity Alignment (EA) aims to match equivalent entities that refer to th...
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07/09/2022
Rethinking Persistent Homology for Visual Recognition
Persistent topological properties of an image serve as an additional des...
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06/21/2022
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation
The Differentiable Search Index (DSI) is a new, emerging paradigm for in...
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05/12/2022
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?
Pseudo-Relevance Feedback (PRF) assumes that the top results retrieved b...
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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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04/20/2022
Is Non-IID Data a Threat in Federated Online Learning to Rank?
In this perspective paper we study the effect of non independent and ide...
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04/06/2022
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Medical systematic review query formulation is a highly complex task don...
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04/01/2022
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach
In this paper we study how to effectively exploit implicit feedback in D...
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04/01/2022
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos
Current dense retrievers are not robust to out-of-domain and outlier que...
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02/25/2022
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training
The process of model checkpoint validation refers to the evaluation of t...
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02/15/2022
Case law retrieval: problems, methods, challenges and evaluations in the last 20 years
Case law retrieval is the retrieval of judicial decisions relevant to a ...
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01/05/2022
Reinforcement Online Learning to Rank with Unbiased Reward Shaping
Online learning to rank (OLTR) aims to learn a ranker directly from impl...
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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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12/08/2021
Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study
Screening or assessing studies is critical to the quality and outcomes o...
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12/01/2021
MeSH Term Suggestion for Systematic Review Literature Search
High-quality medical systematic reviews require comprehensive literature...
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10/13/2021
ActiveEA: Active Learning for Neural Entity Alignment
Entity Alignment (EA) aims to match equivalent entities across different...
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08/27/2021
Dealing with Typos for BERT-based Passage Retrieval and Ranking
Passage retrieval and ranking is a key task in open-domain question answ...
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08/25/2021
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
Pseudo Relevance Feedback (PRF) is known to improve the effectiveness of...
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08/19/2021
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion
BERT-based information retrieval models are expensive, in both time (que...
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07/11/2016
