paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
SH

Seyed Mohammad Hosseini

SIGIR 2026×3检索与知识评测与基准推理多模态对齐与偏好
新星分新星
65
一作贡献30
核心/参与14
方向广度10
合作网络3
1 一作 · 3 篇 · SIGIR 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

3
作者位次 #5/8SIGIR 2026Oral· Information Retrieval (Industry)

From Doxa to Logos in Scientific Peer Review

Negar Arabzadeh · Sajad Ebrahimi · Alireza Daghighfarsoodeh · Soroush Sadeghian · Seyed Mohammad Hosseini · Hai Son Le · Mahdi Bashari · Ebrahim Bagheri

摘要

Peer review is central to scientific decision-making, yet it is rarely evaluated or audited at scale. Growing submission volumes and the increasing use of large language models (LLMs) in drafting reviews have introduced new challenges for transparency, accountability, and quality control. Today,...

检索与知识评测与基准推理OpenReview
作者位次 #6/7SIGIR 2026Poster· Information Retrieval (Demo)

Peerispect: Claim Verification in Scientific Peer Reviews

Ali Ghorbanpour · Soroush Sadeghian · Alireza Daghighfarsoodeh · Sajad Ebrahimi · Negar Arabzadeh · Seyed Mohammad Hosseini · Ebrahim Bagheri

摘要

Peer review is central to scientific publishing, yet reviewers frequently include claims that are subjective, rhetorical, or misaligned with the submitted work. Assessing whether review statements are factual and verifiable is crucial for fairness and accountability. At the scale of modern confer...

多模态检索与知识对齐与偏好OpenReview
一作SIGIR 2026Poster· Information Retrieval (Short)

Failing Forward: Understanding Query Failure in Retrieval, Judgment, and Generation

Seyed Mohammad Hosseini · Negar Arabzadeh · Mohammad Hossein Saliminabi · Dimitrios Androutsos · Morteza Zihayat · Ebrahim Bagheri

摘要

Modern information retrieval pipelines combine retrieval, LLM-based generation, and LLM-based judgment, and a poor outcome may originate in any of the three stages. Existing work studies these failures in isolation. This paper instead asks whether query difficulty itself transfers across the thre...

评测与基准检索与知识多语言与语言学OpenReview

常见合作者