RELIC: Investigating Large Language Model Responses using Self-Consistency
- Furui Cheng
- Vilém Zouhar
- et al.
- 2024
- CHI 2024
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139 results for Explainable AI
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- Turgay Caglar
- Sirine Belhaj
- et al.
- 2024
- AAAI 2024
- Topic
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
- Yi Fung
- Chris Thomas
- et al.
- 2021
- ACL-IJCNLP 2021
Anomaly Attribution with Likelihood Compensation
- 2021
- AAAI 2021
Model Agnostic Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanukiran Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Abductive Reasoning in Logical Credal Networks
- Radu Marinescu
- Junkyu Lee
- et al.
- 2024
- NeurIPS 2024
Selective Explanations
- Lucas Monteiro Paes
- Dennis Wei
- et al.
- 2024
- NeurIPS 2024
Global Area Sampling for Geospatial Foundation Model
- 2024
- AGU 2024