Position: Agentic Systems Should be General
- Elron Bandel
- Asaf Yehudai
- et al.
- 2026
- ICML 2026
Conference paper
Publications
199 results for Explainable 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 paperBranch and Bound Search for Exact MAP Inference in Credal Networks
- Radu Marinescu
- Fabio Cozman
- et al.
- 2026
- ICLR 2026
Conference paperAdaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
- Natalia Martinez Gil
- Fearghal O'Donncha
- et al.
- 2026
- ICLR 2026
Conference paperEvaluating Ill-Defined Tasks in Large Language Models
- 2026
- ICLR 2026
Workshop paperUnifying Concept Representation Learning
- Amit Dhurandhar
- Amir-hossein Karimi
- et al.
- 2026
- ICLR 2026
WorkshopHuman-Centered Explainable AI (HCXAI): Re-examining Explainability in the Era of Agentic AI
- Upol Ehsan
- Amal Alabdulkarim
- et al.
- 2026
- CHI 2026
WorkshopAgentFixer: From Failure Detection to Fix Recommendations in Agentic Systems
- Hadar Mulian
- Sergey Zeltyn
- et al.
- 2026
- ICSE 2026
Workshop paperUsing Analogy as Means to AI Explainability
- Vinicius Segura
- Juliana Jansen Ferreira
- et al.
- 2026
- ACS Spring 2026
Conference paper