Information Theory
370 papers
Papers per year
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14
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24
30
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35
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Papers
Information Theory and Linguistic Variation: A Study of Brazilian and European Portuguese
COLING 2025
Language Models Resist Alignment: Evidence From Data Compression
ACL 2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
ICCV 2025
Mapping 1,000+ Language Models via the Log-Likelihood Vector
ACL 2025
Partial Information Decomposition for Data Interpretability and Feature Selection
AISTATS 2025
Pre-trained Models Perform the Best When Token Distributions Follow Zipf’s Law
EMNLP 2025
Quantifying Knowledge Distillation using Partial Information Decomposition
AISTATS 2025
Quantifying Semantic Emergence in Language Models
ACL 2025
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
EMNLP 2025
Speculative Sampling via Exponential Races
ACL 2025
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
ICLR 2025
Structured IB: Improving Information Bottleneck with Structured Feature Learning
AAAI 2025
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
AAAI 2025
Systematic Generalization in Language Models Scales with Information Entropy
ACL 2025
The Causal Information Bottleneck and Optimal Causal Variable Abstractions
UAI 2025
The Exception of Humor: Iconicity, Phonemic Surprisal, Memory Recall, and Emotional Associations
COLING 2025
The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage
ACL 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
ACL 2025
West Germanic noun-noun compounds and the morphology-syntax trade-off
NAACL 2025
What Makes for Good Image Captions?
EMNLP 2025
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
NeurIPS 2024
Accelerating Relative Entropy Coding with Space Partitioning
NeurIPS 2024
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
NeurIPS 2024
An Information-Theoretic Approach to Analyze NLP Classification Tasks
ACL 2024