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Junyi Jessy Li
Observed names:
Li, Junyi,
Li, Junyi Jessy
Institution:
The University of Texas at Austin
Observed institution:
The University of Texas at Austin
OpenAlex ID:
A5133312868
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
2022
·
Venelin Kovatchev
, Trina Chatterjee
, et al.
·
3
PDF
AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
2026
·
Biswas, Joydeep
, Schoepp, Sheila
, et al.
·
arXiv (Cornell University)
·
1
PDF
LinkNav: Surfacing Interconnected Information in Scientific Articles
2026
·
Joseph, Sebastian
, Healey, Jennifer
, et al.
·
arXiv (Cornell University)
SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction
2026
·
Ning, Yuting
, Zhang, Zhehao
, et al.
·
arXiv (Cornell University)
PDF
VESTA: Visual Exploration with Statistical Tool Agents
2026
·
Rudman, William
, Divekar, Abhishek
, et al.
·
arXiv (Cornell University)
PDF
Multimodal QUD: Inquisitive Questions from Scientific Figures
2026
·
Wu, Yating
, Rudman, William
, et al.
·
arXiv (Cornell University)
PDF
Chinese-SkillSpan: A Span-Level Dataset for ESCO-Aligned Competency Extraction from Chinese Job Ads
2026
·
Li, Guojing
, Fu, Zichuan
, et al.
·
arXiv (Cornell University)
PDF
Discourse Diversity in Multi-Turn Empathic Dialogue
2026
·
Zhan, Hongli
, Gueorguieva, Emma S.
, et al.
·
arXiv (Cornell University)
PDF
AI generates well-liked but templatic empathic responses
2026
·
Gueorguieva, Emma S.
, Zhan, Hongli
, et al.
·
arXiv (Cornell University)
PDF
When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't
2026
·
Nemitz, Jonathan
, Eickhoff, Carsten
, et al.
·
arXiv (Cornell University)
PDF
This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA
2026
·
Yun, Hye Sun
, Kapoor, Geetika
, et al.
·
arXiv (Cornell University)
PDF
Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
2025
·
William Berkeley Sheffield
, Kanishka Misra
, et al.
PDF
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
2022
·
Kovatchev, Venelin
, Chatterjee, Trina
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
4
H-index:
1
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