31 citations · 119 across the 15 of their papers we have counts for
16 papers
Reproducing Complex Set-Compositional Information Retrieval
Vincent Degenhart, Dewi Timman, Arjen P. de Vries +2
Complex information needs may involve set-compositional queries using conjunction, disjunction, and exclusion, yet it remains unclear whether current retrieval paradigms genuinely…
Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training
Mingliang Liang, Zhuoran Liu, Arjen P. de Vries +1
The computational cost of training a vision-language model (VLM) can be reduced by sampling the training data. Previous work on efficient VLM pre-training has pointed to the import…
Tutorial on Reasoning for IR & IR for Reasoning
Mohanna Hoveyda, Panagiotis Efstratiadis, Arjen de Vries +1
Information retrieval has long focused on ranking documents by semantic relatedness. Yet many real-world information needs demand more: enforcement of logical constraints, multi-st…
OrLog: Resolving Complex Queries with LLMs and Probabilistic Reasoning
Mohanna Hoveyda, Jelle Piepenbrock, Arjen P de Vries +2
Resolving complex information needs that come with multiple constraints should consider enforcing the logical operators encoded in the query (i.e., conjunction, disjunction, negati…
Graph-Embedding Empowered Entity Retrieval
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
In this research, we investigate methods for entity retrieval using graph embeddings. While various methods have been proposed over the years, most utilize a single graph embedding…
Adaptive Orchestration of Modular Generative Information Access Systems
Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries +2
Advancements in large language models (LLMs) have driven the emergence of complex new systems to provide access to information, that we will collectively refer to as modular genera…
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification
Daria Alexander, Arjen P. de Vries
User intent classification is an important task in information retrieval. Previously, user intents were classified manually and automatically; the latter helped to avoid hand label…
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit
Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke +2
In question answering (QA), different questions can be effectively addressed with different answering strategies. Some require a simple lookup, while others need complex, multi-ste…
Real World Conversational Entity Linking Requires More Than Zeroshots
Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke +1
Entity linking (EL) in conversations faces notable challenges in practical applications, primarily due to the scarcity of entity-annotated conversational datasets and sparse knowle…
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System
Gineke Wiggers, Suzan Verberne, Arjen de Vries +1
This paper illustrates some challenges of common ranking evaluation methods for legal information retrieval (IR). We show these challenges with log data from a live legal search sy…
MMEAD: MS MARCO Entity Annotations and Disambiguations
Chris Kamphuis, Aileen Lin, Siwen Yang +3
MMEAD, or MS MARCO Entity Annotations and Disambiguations, is a resource for entity links for the MS MARCO datasets. We specify a format to store and share links for both document…
Entity-aware Transformers for Entity Search
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
Pre-trained language models such as BERT have been a key ingredient to achieve state-of-the-art results on a variety of tasks in natural language processing and, more recently, als…
Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
Conversational AI systems are being used in personal devices, providing users with highly personalized content. Personalized knowledge graphs (PKGs) are one of the recently propose…
Ranking Triples using Entity Links in a Large Web Crawl - The Chicory Triple Scorer at WSDM Cup 2017
Frank Dorssers, Arjen P. de Vries, Wouter Alink +1
This paper describes the participation of team Chicory in the Triple Ranking Challenge of the WSDM Cup 2017. Our approach deploys a large collection of entity tagged web data to es…
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space
Jeroen B. P. Vuurens, Martha Larson, Arjen P. de Vries
Recommender systems leverage both content and user interactions to generate recommendations that fit users' preferences. The recent surge of interest in deep learning presents new…
Personalised Travel Recommendation based on Location Co-occurrence
Maarten Clements, Pavel Serdyukov, Arjen P. de Vries +1
We propose a new task of recommending touristic locations based on a user's visiting history in a geographically remote region. This can be used to plan a touristic visit to a new…