activity
20162026
most citedEnd-to-End Neural Ad-hoc Ranking with Kernel Pooling

575 citations · 1.4k across the 22 of their papers we have counts for

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Showing cs.IRShow all

30 papers · 1 filter

cs.IR2026

Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests

Jingjie Ning, João Coelho, Yibo Kong +5

LLM-powered search agents are increasingly being used for multi-step information seeking tasks, yet the IR community lacks empirical understanding of how agentic search sessions un…

cs.IR20251 cited

DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research

João Coelho, Jingjie Ning, Jingyuan He +8

Deep research systems represent an emerging class of agentic information retrieval methods that generate comprehensive and well-supported reports to complex queries. However, most…

cs.IR2024

Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval

João Coelho, Bruno Martins, João Magalhães +2

This study investigates the existence of positional biases in Transformer-based models for text representation learning, particularly in the context of web document retrieval. We b…

cs.IR2024

Building Retrieval Systems for the ClueWeb22-B Corpus

Harshit Mehrotra, Jamie Callan, Zhen Fan

The ClueWeb22 dataset containing nearly 10 billion documents was released in 2022 to support academic and industry research. The goal of this project was to build retrieval baselin…

cs.IR20225 cited

ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information

Arnold Overwijk, Chenyan Xiong, Xiao Liu +2

ClueWeb22, the newest iteration of the ClueWeb line of datasets, provides 10 billion web pages affiliated with rich information. Its design was influenced by the need for a high qu…

cs.IR202228 cited

Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval

Luyu Gao, Xueguang Ma, Jimmy Lin +1

Recent rapid advancements in deep pre-trained language models and the introductions of large datasets have powered research in embedding-based dense retrieval. While several good r…