Publications

196 results for Explainable AI

Position: Agentic Systems Should be General
- - Elron Bandel
  - Asaf Yehudai
  - et al.
- 2026
- ICML 2026
Conference paper
Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
- - Natalia Martinez Gil
  - Fearghal O'Donncha
  - et al.
- 2026
- ICLR 2026
Conference paper
Learn more about our Explainable AI work
Branch and Bound Search for Exact MAP Inference in Credal Networks
- - Radu Marinescu
  - Fabio Cozman
  - et al.
- 2026
- ICLR 2026
Conference paper
Evaluating Ill-Defined Tasks in Large Language Models
- - Yi Zhou
  - Basel Shbita
- 2026
- ICLR 2026
Workshop paper
Unifying Concept Representation Learning
- - Amit Dhurandhar
  - Amir-hossein Karimi
  - et al.
- 2026
- ICLR 2026
Workshop
Human-Centered Explainable AI (HCXAI): Re-examining Explainability in the Era of Agentic AI
- - Upol Ehsan
  - Amal Alabdulkarim
  - et al.
- 2026
- CHI 2026
Workshop
AgentFixer: From Failure Detection to Fix Recommendations in Agentic Systems
- - Hadar Mulian
  - Sergey Zeltyn
  - et al.
- 2026
- ICSE 2026
Workshop paper
Using Analogy as Means to AI Explainability
- - Vinicius Segura
  - Juliana Jansen Ferreira
  - et al.
- 2026
- ACS Spring 2026
Conference paper
CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
- - Asaf Yehudai
  - Lilach Edelstein
  - et al.
- 2026
- AAAI 2026
Demo paper
Who Sees the Risk? Stakeholder Conflicts and Explanatory Policies in LLM-based Risk Assessment
- - Srishti Yadav
  - Jasmina Gajcin
  - et al.
- 2026
- AAAI 2026
Workshop paper