Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System

2023-12-21 · Ryu Hirai, Shinya Iizuka, Haruhisa Iseno, Ao Guo, Jingjing Jiang, Atsumoto Ohashi, Ryuichiro Higashinaka

At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take more natural turns based on user utterance texts. Our system generated queries for sightseeing spot searches using the common ground and engaged in dialogue while waiting for user comprehension.

📄 PDF Abstract BibTeX arXiv:2312.13816

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Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents

2026-02-02 · Pengfei He, Ash Fox, Lesly Miculicich, Stefan Friedli 외 arxiv

Large language models (LLMs) have shown promise in assisting cybersecurity tasks, yet existing approaches struggle with automatic vulnerability discovery and exploitation due to limited interaction, weak execution ground…

Vulnerability Detection

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI

2026-05-07 · Wesley Hanwen Deng, Mingxi Yan, Sunnie S. Y. Kim, Akshita Jha 외 arxiv

Recent developments in AI safety research have called for red-teaming methods that effectively surface potential risks posed by generative AI models, with growing emphasis on how red-teamers' backgrounds and perspectives…

How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

2019-09-08 · Yaoli Mao, Dakuo Wang, Michael Muller, Kush R. Varshney 외

In recent years there has been an increasing trend in which data scientists and domain experts work together to tackle complex scientific questions. However, such collaborations often face challenges. In this paper, we a…

scientific discovery

Dialogue Corpus Construction Considering Modality and Social Relationships in Building Common Ground

2022-06-01 · LREC 2022 6 · Yuki Furuya, Koki Saito, Kosuke Ogura, Koh Mitsuda 외

Building common ground with users is essential for dialogue agent systems and robots to interact naturally with people. While a few previous studies have investigated the process of building common ground in human-human …

Measuring Research Convergence in Interdisciplinary Teams Using Large Language Models and Graph Analytics

2026-02-26 · Wenwen Li, Yuanyuan Tian, Sizhe Wang, Amber Wutich 외 arxiv

Understanding how interdisciplinary research teams converge on shared knowledge is a persistent challenge. This paper presents a novel, multi-layer, AI-driven analytical framework for mapping research convergence in inte…