From the 4 of 112 papers with an AI index.
70 citations
- California Institute of TechnologyUS14 papers
- Massachusetts Institute of TechnologyUS13 papers
- Space Telescope Science InstituteUS13 papers
- University of ArizonaUS13 papers
- Center for Astrophysics Harvard & SmithsonianUS11 papers
- Johns Hopkins UniversityUS11 papers
- Goddard Space Flight CenterUS10 papers
- University of ChicagoUS10 papers
- University of Maryland, College ParkUS10 papers
- University of OxfordGB10 papers
- The University of Texas at AustinUS9 papers
- University of California, BerkeleyUS9 papers
7 papers · 1 filter
Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability
Abdullah Mamun, Shovito Barua Soumma, Hassan Ghasemzadeh
Ensuring trust in AI systems is essential for the safe and ethical integration of machine learning systems into high-stakes domains such as digital health. Key dimensions, includin…
The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP Perspective
Xiaoou Liu, Tiejin Chen, Weibo Li +2
Foundation model agents are increasingly deployed for real-world decision-making, but suffer from the sim-to-real gap. While robotics and classical control have mature frameworks t…
Functional Stable Model Semantics and Answer Set Programming Modulo Theories
Michael Bartholomew, Joohyung Lee
Recently there has been an increasing interest in incorporating ``intensional'' functions in answer set programming. Intensional functions are those whose values can be described b…
Weighted Rules under the Stable Model Semantics
Joohyung Lee, Yi Wang
We introduce the concept of weighted rules under the stable model semantics following the log-linear models of Markov Logic. This provides versatile methods to overcome the determi…
Large Language Models for Market Research: A Data-augmentation Approach
Mengxin Wang, Dennis J. Zhang, Heng Zhang
Large Language Models (LLMs) have transformed artificial intelligence by excelling in complex natural language processing tasks. Their ability to generate human-like text has opene…
Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems
Deeksha Prahlad, Daniel Fan, Hokeun Kim
Foundation models, including large language models (LLMs), are increasingly used for human-in-the-loop (HITL) cyber-physical systems (CPS) because foundation model-based AI agents…