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← Core AI
Artificial Intelligence
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Core AI
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Interpretability
7,318 papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems
AAAI 2024
Autonomous Policy Explanations for Effective Human-Machine Teaming
AAAI 2024
Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems
AAAI 2024
Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs
AAAI 2024
Data-Driven Discovery of Design Specifications (Student Abstract)
AAAI 2024
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
AAAI 2024
Explainable Earnings Call Representation Learning (Student Abstract)
AAAI 2024
Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract)
AAAI 2024
Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models’ Explanations (Student Abstract)
AAAI 2024
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
AAAI 2024
Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract)
AAAI 2024
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
AAAI 2024
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models
AAAI 2024
SemLa: A Visual Analysis System for Fine-Grained Text Classification
AAAI 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
AAAI 2024
Inference to the Best Explanation in Large Language Models
ACL 2024
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
ACL 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
ACL 2024
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
ACL 2024
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
ACL 2024
RORA: Robust Free-Text Rationale Evaluation
ACL 2024
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
ACL 2024
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
ACL 2024
Probing Language Models for Pre-training Data Detection
ACL 2024
Dissecting Human and LLM Preferences
ACL 2024
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