most citedRank-K: Test-Time Reasoning for Listwise Reranking

1 citations · 1 across the 6 of their papers we have counts for

collaborators

9 papers

cs.IR2026

NeuCLIRTech: Chinese Monolingual and Cross-Language Information Retrieval Evaluation in a Challenging Domain

Dawn Lawrie, James Mayfield, Eugene Yang +6

Measuring advances in retrieval requires test collections with relevance judgments that can faithfully distinguish systems. This paper presents NeuCLIRTech, an evaluation collectio…

cs.IR2026

RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation

Eugene Yang, Andrew Yates, Dawn Lawrie +2

Retrieval models are key components of Retrieval-Augmented Generation (RAG) systems, which generate search queries, process the documents returned, and generate a response. RAG sys…

cs.IR2025

NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval

Dawn Lawrie, James Mayfield, Eugene Yang +6

To measure advances in retrieval, test collections with relevance judgments that can faithfully distinguish systems are required. This paper presents NeuCLIRBench, an evaluation co…

cs.IR2025

Augmenting Researchy Questions with Sub-question Judgments

Jia-Huei Ju, Eugene Yang, Trevor Adriaanse +1

The Researchy Questions dataset provides about 100k question queries with complex information needs that require retrieving information about several aspects of a topic. Each query…

cs.IR2025

HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval

Kevin Duh, Eugene Yang, Orion Weller +2

The HLTCOE LiveRAG submission utilized the GPT-researcher framework for researching the context of the question, filtering the returned results, and generating the final answer. Th…

cs.IR20251 cited

Rank-K: Test-Time Reasoning for Listwise Reranking

Eugene Yang, Andrew Yates, Kathryn Ricci +4

Retrieve-and-rerank is a popular retrieval pipeline because of its ability to make slow but effective rerankers efficient enough at query time by reducing the number of comparisons…