Stop Guessing When to Stop Testing: Efficient Model Evaluation with Just Enough Data
- Ofir Arviv
- Kristjan Greenewald
- et al.
- 2026
- ACL 2026
Conference paper
Publications
88 results for AI Testing
A Survey on Evaluation of LLM-based Agents
- Asaf Yehudai
- Lilach Edelstein
- et al.
- 2026
- ACL 2026
PaperUnsupervised Cycle Detection in Agentic Applications
- Felix George
- Divya Pathak
- et al.
- 2026
- ICPE 2026
Short paperEvaluating Ill-Defined Tasks in Large Language Models
- 2026
- ICLR 2026
Workshop paperLogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
- Farhan Ahmed
- Yuya Ong
- et al.
- 2026
- ICLR 2026
Workshop paperPACIFIC: 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 paperEvaluating perturbation robustness of generative systems that use COBOL code inputs
- Samuel Ackerman
- Wesam Ibraheem
- et al.
- 2026
- ICSE 2026
Workshop paperPosition: Mind the Gap-Closing the Growing Disconnect Between Vulnerability Disclosure and AI Security
- Lukas Bieringer
- Sean Mcgregor
- et al.
- 2026
- IEEE SaTML 2026
PaperAssessing Chemical Foundation Models for Glycan Representation and Tasks
- Manuel Ravasqueira
- Joao Bettencourt-Silva
- et al.
- 2026
- ACS Spring 2026
PosterCLEAR: Error Analysis via LLM-as-a-Judge Made Easy
- Asaf Yehudai
- Lilach Edelstein
- et al.
- 2026
- AAAI 2026
Demo paper
