8 citations · 16 across the 9 of their papers we have counts for
9 papers
Runtime Action Interference for AI Control of AlphaStar in StarCraft II
Jaymari Chua, Chen Wang, Liming Zhu +1
A trained reinforcement learning policy does not determine the complete behavior that users encounter: deployment code still schedules, admits, suppresses, or replaces its proposed…
Three-Body Alignment: Aligning Chess Agent with Human Reasoning through Reranked Rationale
Jaymari Chua, Chen Wang, Liming Zhu +1
As reasoning agents become increasingly complex, aligning their underlying reasoning and decision-making processes with human conceptual models is a challenge for AI security and s…
Consistency evaluation of benchmarks used for causal discovery
Yuzhe Zhang, Chihui Chen, Lina Yao +1
In graphical causal model, causal discovery aims to construct a causal graph based on numerical data and domain knowledge in plain text. However, the evaluation of causal discovery…
Efficient and Generalizable Environmental Understanding for Visual Navigation
Ruoyu Wang, Xinshu Li, Chen Wang +1
Visual Navigation is a core task in Embodied AI, enabling agents to navigate complex environments toward given objectives. Across diverse settings within Navigation tasks, many nec…
Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness
Jaymari Chua, Chen Wang, Lina Yao
As artificial intelligence surpasses human performance in select tasks, disclosing superhuman capabilities poses distinct challenges for fairness, accountability, and trust. Howeve…
Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
Jaymari Chua, Chen Wang, Lina Yao
Generalizable alignment is a core challenge for deploying Large Language Models (LLMs) safely in real-world NLP applications. Current alignment methods, including Reinforcement Lea…
From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance
Qian Fu, Yuzhe Zhang, Yanfeng Shu +3
Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern medicines ineffective. AMR arises from antibiotic production and bacterial evolution,…
AI Safety in Generative AI Large Language Models: A Survey
Jaymari Chua, Yun Li, Shiyi Yang +2
Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) in…
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
Yuzhe Zhang, Yipeng Zhang, Yidong Gan +2
Causal graph recovery is traditionally done using statistical estimation-based methods or based on individual's knowledge about variables of interests. They often suffer from data…