Computational Safety for Generative AI: A Hypothesis Testing Perspective
- 2026
- ICML 2026
Workshop paper
Publications
960 results for Trustworthy AI
Stop Guessing When to Stop Testing: Efficient Model Evaluation with Just Enough Data
- Ofir Arviv
- Kristjan Greenewald
- et al.
- 2026
- ACL 2026
Conference paperMulti-component Causal Tracing in Large Language Models
- Zirui Yan
- Dennis Wei
- et al.
- 2026
- ACL 2026
Conference paperFactCorrector : A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
- 2026
- ACL 2026
Conference paperA Survey on Evaluation of LLM-based Agents
- Asaf Yehudai
- Lilach Edelstein
- et al.
- 2026
- ACL 2026
PaperAutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
- Massimiliano Pronesti
- Angelo Miculescu
- et al.
- 2026
- ACL 2026
Demo paperOvercoming Barriers to AI Disclosure: The Role of Granularity and Sociocultural Enablers in Reducing Perceived Stigmas
- Jessica He
- Avinash Akella
- et al.
- 2026
- FAccT 2026
Conference paperData valuation model for non-monetary exchanges
- Julia Blyumen
- Eitan Farchi
- 2026
- arXiv
PaperCGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2026
- CVPR 2026
Conference paperUnsupervised Cycle Detection in Agentic Applications
- Felix George
- Divya Pathak
- et al.
- 2026
- ICPE 2026
Short paper