Knowledge Distillation

Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection AAAI 2026 Distilling Offline Action Detection Models into Real-Time Streaming Models WACV 2026 Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs WACV 2026 DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation EACL 2026 DivControl: Knowledge Diversion for Controllable Image Generation AAAI 2026 Diverse Sketch Colorization with Content-Enhanced Style Representation and Recolorization Distillation WACV 2026 Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis? EACL 2026 Driving with Advice: Large Model as Motion Advisor for Joint Planning AAAI 2026 DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026 Dual-Kernel Graph Community Contrastive Learning AAAI 2026 Dual-Teacher Interactive Knowledge Distillation Network for Text-to-Visible & Infrared Person Retrieval AAAI 2026 DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation WACV 2026 DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks AAAI 2026 DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation EACL 2026 EASE: Practical and Efficient Safety Alignment for Small Language Models AAAI 2026 EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens AAAI 2026 Emotion Recognition in Multi-Speaker Conversations through Speaker Identification, Knowledge Distillation, and Hierarchical Fusion EACL 2026 End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models AAAI 2026 Enhancing User Safety: Context-Aware Detection of Offensive Query-Ad Pairs in Multimodal Search Advertising EACL 2026 EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026 Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework AAAI 2026 Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation AAAI 2026 Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models EACL 2026 Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026 Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026