1 citations · 1 across the 4 of their papers we have counts for
4 papers
Sycophancy Towards Researchers Drives Performative Misalignment
David D. Baek, Xinnuo Li, Anay Gupta +4
The increasing situational awareness of language models raises safety concerns: models might be aware when they are evaluated, and adjust their behavior to evade monitoring and res…
LEKIA: Expert-Aligned AI Behavior Design for High-Risk Human-AI Interactions
Boning Zhao, Yutong Hu, Xinnuo Li
Large language models (LLMs) have demonstrated technical accuracy in high-risk domains, such as mental health support and special education. However, they often fail to meet the nu…
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
Yachuan Liu, Xiaochun Wei, Lin Shi +4
Large language models (LLMs) face significant challenges in ex-ante reasoning, where analysis, inference, or predictions must be made without access to information from future even…
Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Boning Zhao, Xinnuo Li, Yutong Hu
Assessing student depression in sensitive environments like special education is challenging. Standardized questionnaires may not fully reflect students' true situations. Furthermo…