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

Hannah Recknor

ACL 2026SIGIR 2026多模态检索与知识推理评测与基准
新星分贡献者
42
一作贡献0
核心/参与10
方向广度11
合作网络9
0 一作 · 2 篇 · ACL 2026 / 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

2
作者位次 #5/8ACL 2026Findings· Findings of ACL

W iki V ideo: Article Generation from Multiple Videos

Alexander Martin · Reno Kriz · William Gantt Walden · Kate Sanders · Hannah Recknor · Eugene Yang · Francis Ferraro · Benjamin Van Durme

摘要

We introduce the task of grounded article generation with the goal of creating a Wikipedia-style article from multiple diverse videos about real-world events—from natural disasters to political elections—where all the information in the article is supported by video evidence. Videos are intuitive...

多模态检索与知识推理OpenReview 项目页
作者位次 #7/13SIGIR 2026Poster· Information Retrieval (Demo)

Auto-ARGUE: LLM-Based Report Generation Evaluation

William Gantt Walden · Marc Mason · Orion Weller · Laura Dietz · John M. Conroy · Neil Molino · Hannah Recknor · Bryan Li · Gabrielle Kaili-May Liu · Yu Hou · Dawn Lawrie · James Mayfield · Eugene Yang

摘要

Generation of citation-backed reports is a primary use case for retrieval-augmented generation (RAG) systems. While open-source evaluation tools exist for various RAG tasks, tools designed for report generation are lacking. Accordingly, we introduce Auto-ARGUE, a robust LLM-based implementation o...

检索与知识多模态评测与基准OpenReview

常见合作者