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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
Can We Translate Code Better with LLMs and Call Graph Analysis?
IJCAI 2025
BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models
IJCAI 2025
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
IJCAI 2025
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
IJCAI 2025
Can We Verify Step by Step for Incorrect Answer Detection?
IJCAI 2025
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines
IJCAI 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
IJCAI 2025
AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems
IJCAI 2025
Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild
IJCAI 2025
The Delta of Thought: Channeling Rivers of Commonsense Knowledge in the Sea of Metaphorical Interpretations
IJCAI 2025
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
IJCAI 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
IJCAI 2025
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)
IJCAI 2025
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)
IJCAI 2025
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
IJCAI 2025
A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)
IJCAI 2025
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
IJCAI 2025
Rating AI Models for Robustness Through a Causal Lens
IJCAI 2025
Visual Analytics for Guiding Feature Attribution Method Selection
IJCAI 2025
TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Records
IJCAI 2025
MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions
IJCAI 2025
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
IJCNLP 2025
Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
IJCNLP 2025
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