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Interpretability

7,318 papers

Papers per year

Papers

IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? IJCNLP 2025
Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection IJCNLP 2025
Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles IJCNLP 2025
Task-Aware Evaluation and Error-Overlap Analysis for Large Language Models IJCNLP 2025
Examining the Faithfulness of Deepseek R1’s Chain-of-Thought Reasoning IJCNLP 2025
Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models IJCNLP 2025
Leveraging NTPs for Efficient Hallucination Detection in VLMs IJCNLP 2025
SHROOM-CAP: Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications IJCNLP 2025
SmurfCat at SHROOM-CAP: Factual but Awkward? Fluent but Wrong? Tackling Both in LLM Scientific QA IJCNLP 2025
Scalar_NITK at SHROOM-CAP: Multilingual Factual Hallucination and Fluency Error Detection in Scientific Publications Using Retrieval-Guided Evidence and Attention-Based Feature Fusion IJCNLP 2025
Reliable Inline Code Documentation with LLMs: Fine-Grained Evaluation of Comment Quality and Coverage IJCNLP 2025
Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation IJCNLP 2025
Dynamic Reference Extraction and Linking across Multiple Scholarly Knowledge Graphs IJCNLP 2025
Structured Outputs in Prompt Engineering: Enhancing LLM Adaptability on Counterintuitive Instructions IJCNLP 2025
AstroMLab 5: Structured Summaries and Concept Extraction for 400,000 Astrophysics Papers IJCNLP 2025
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization JMLR 2025
Lightning UQ Box: Uncertainty Quantification for Neural Networks JMLR 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability JMLR 2025
EMaP: Explainable AI with Manifold-based Perturbations JMLR 2025
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method JMLR 2025
Step and Smooth Decompositions as Topological Clustering JMLR 2025
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs NAACL 2025