Interpretability
8,292 papers
Papers per year
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Papers
DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference
ACL 2025
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
EMNLP 2025
ECC: An Emotion-Cause Conversation Dataset for Empathy Response
EMNLP 2025
ECERC: Evidence-Cause Attention Network for Multi-Modal Emotion Recognition in Conversation
ACL 2025
Editable Concept Bottleneck Models
ICML 2025
Efficient and Accurate Explanation Estimation with Distribution Compression
ICLR 2025
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
ICLR 2025
Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming
IJCAI 2025
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
NAACL 2025
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
AAAI 2025
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)
IJCAI 2025
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
ICCV 2025
EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding
EMNLP 2025
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
EMNLP 2025
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
ICML 2025
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
ICML 2025
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
AAAI 2025
Eliciting Language Model Behaviors with Investigator Agents
ICML 2025
Eliciting Textual Descriptions from Representations of Continuous Prompts
ACL 2025
Eliminating Position Bias of Language Models: A Mechanistic Approach
ICLR 2025
Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare
EMNLP 2025
EMaP: Explainable AI with Manifold-based Perturbations
JMLR 2025
Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models
COLING 2025
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
ICLR 2025
Emergence of symbolic abstraction heads for in-context learning in large language models
COLING 2025