Publications

84 results for AI Testing

LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
- - Farhan Ahmed
  - Yuya Ong
  - et al.
- 2026
- ICLR 2026
Workshop paper
Evaluating Ill-Defined Tasks in Large Language Models
- - Yi Zhou
  - Basel Shbita
- 2026
- ICLR 2026
Workshop paper
Learn more about our AI Testing work
Evaluating perturbation robustness of generative systems that use COBOL code inputs
- - Samuel Ackerman
  - Wesam Ibraheem
  - et al.
- 2026
- ICSE 2026
Workshop paper
PACIFIC: a framework for generating benchmarks to check Precise Automatically Checked Instruction Following In Code
- - Itay Dreyfuss
  - Antonio Abu Nassar
  - et al.
- 2026
- ICSE 2026
Workshop paper
Position: Mind the Gap-Closing the Growing Disconnect Between Vulnerability Disclosure and AI Security
- - Lukas Bieringer
  - Sean Mcgregor
  - et al.
- 2026
- IEEE SaTML 2026
Paper
Assessing Chemical Foundation Models for Glycan Representation and Tasks
- - Manuel Ravasqueira
  - Joao Bettencourt-Silva
  - et al.
- 2026
- ACS Spring 2026
Poster
CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
- - Asaf Yehudai
  - Lilach Edelstein
  - et al.
- 2026
- AAAI 2026
Demo paper
A Multi-Agent Framework for Enterprise Tool Creation
- - Purna Chandra Sekhar Vakudavathu
  - Kushal Mukherjee
  - et al.
- 2026
- AAAI 2026
Workshop paper
APILOT: Improving the Security and Usability of LLM Code Suggestions via Outdated API Mitigation
- - Weiheng Bai
  - Keyang Xuan
  - et al.
- 2025
- ACSAC 2025
Conference paper
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
- - Chen Xiong
  - Pin-Yu Chen
  - et al.
- 2025
- NeurIPS 2025
Conference paper