Co-occurring keywords · papers mentioning both
Papers
AIPO: Adaptive Information Guided Token-Level Reinforcement Learning for Large Language Model Reasoning
ACL 2026
An Information Theoretic Evaluation Metric for Strong Unlearning
AAAI 2026
Auditing Language Model Unlearning via Information Decomposition
EACL 2026
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
ACL 2026
Beyond What's Shared: Recovering Lost Unique Information from Intermediate Layers to Boost Multimodal Geo-Foundation Models
CVPR 2026
CauVQ: Causal Vector Quantization for Graph OOD Generalization
AAAI 2026
CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding
AAAI 2026
Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation
AAAI 2026
Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction
AAAI 2026
DrivePTS: A Progressive Learning Framework with Textual and Structural Enhancement for Driving Scene Generation
CVPR 2026
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment
AAAI 2026
Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
AAAI 2026
Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
AAAI 2026
Fair Domain Generalization: An Information-Theoretic View
AAAI 2026
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
CVPR 2026
FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation
AAAI 2026
HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval
AAAI 2026
InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer
AAAI 2026
InfoQ: Mixed-Precision Quantization via Global Information Flow
AAAI 2026
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
AAAI 2026
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
AAAI 2026
Measuring Human Contribution in AI-Assisted Content Generation
ACL 2026
MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents
ACL 2026
Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective
ACL 2026
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
AAAI 2026