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Jeffrey Dalton

SIGIR 2026×3检索与知识代码数据与预训练多语言与语言学评测与基准
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0 一作 · 3 篇 · SIGIR 2026

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2026 顶会论文

3
作者位次 #4/4SIGIR 2026Oral· Information Retrieval (Reproducibility)

Revisiting Text Ranking in Deep Research

Chuan Meng · Litu Ou · Sean MacAvaney · Jeffrey Dalton

摘要

Deep research has emerged as an important task that aims to address hard queries that need extensive open-web exploration. To tackle it, most prior work equips large language model (LLM)-based agents with opaque web search APIs, enabling agents to iteratively issue search queries, retrieve extern...

数据与预训练检索与知识多语言与语言学OpenReview
作者位次 #6/8SIGIR 2026Poster· Information Retrieval (Resource)

Sim.API: A Middleware to Simplify the Use of User Simulators for Shared Tasks in Conversational Search

Marcel Gohsen · Nailia Mirzakhmedova · Zahra Abbasiantaeb · Johannes Kiesel · Simon Lupart · Jeffrey Dalton · Benno Stein · Mohammad Aliannejadi

摘要

Shared tasks offer excellent opportunities for advancing scientific fields and standardizing evaluation methods through collaborative community efforts. With the recent paradigm shift in information retrieval from keyword-based to conversational search, shared tasks can serve as promising sources...

检索与知识代码评测与基准OpenReview
作者位次 #6/7SIGIR 2026Poster· Information Retrieval (Resource)

TREC iKAT 2025: A Test Collection for the Offline and Interactive Evaluation of Conversational Search

Zahra Abbasiantaeb · Simon Lupart · Marcel Gohsen · Nailia Mirzakhmedova · Johannes Kiesel · Jeffrey Dalton · Mohammad Aliannejadi

摘要

Conversational search agents, especially with the advent of large language models, have developed into useful tools to satisfy complex information needs of their users. Former research has shown that personalization (i.e., adaptation of agent responses to the preferences and traits of the user) c...

检索与知识对齐与偏好代码OpenReview

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