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knowledge distillation

3725 papers

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Also known as

KD

Co-occurring keywords

model compression (3302) large language model (13587) transfer learning (5449) domain adaptation (4595) representation learning (6206) neural network (6616) language model (4599) catastrophic forgetting (958) continual learning (1181) contrastive learning (4032)

Papers

daDPO: Distribution-Aware DPO for Distilling Conversational Abilities ACL 2025
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality EMNLP 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process WACV 2025
Multi-Sense Embeddings for Language Models and Knowledge Distillation ACL 2025
AIDE: Improving 3D Open-Vocabulary Semantic Segmentation by Aligned Vision-Language Learning WACV 2025
Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video WACV 2025
Focusing on What to Decode and What to Train: SOV Decoding with Specific Target Guided DeNoising and Vision Language Advisor WACV 2025
CROSSAGENTIE: Cross-Type and Cross-Task Multi-Agent LLM Collaboration for Zero-Shot Information Extraction ACL 2025
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation ACL 2025
Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation WACV 2025
KDC-MAE: Knowledge Distilled Contrastive Mask Auto-Encoder WACV 2025
Detecting Wildfires on UAVs with Real-Time Segmentation Trained by Larger Teacher Models WACV 2025
Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance WACV 2025
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning COLING 2025
GHOST: Grounded Human Motion Generation with Open Vocabulary Scene-and-Text Contexts WACV 2025
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models NAACL 2025
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking COLING 2025
MimicGait: A Model Agnostic Approach for Occluded Gait Recognition using Correlational Knowledge Distillation WACV 2025
VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving ICCV 2025
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models ACL 2025
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs ACL 2025
FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering EMNLP 2025
Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement CVPR 2025
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning CVPR 2025
Some Like It Small: Czech Semantic Embedding Models for Industry Applications AAAI 2024