activity
20242026
most citedAdaptive Orchestration of Modular Generative Information Access Systems

7 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

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…

cs.IR2026

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…

cs.IR2026

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…

cs.IR2025★ 7 cited

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…

cs.CL2024★ 1 cited

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…

cs.CL2024

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…