Knowledge Distillation

Dual-teacher Knowledge Distillation for Low-frequency Word Translation EMNLP 2024 Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NeurIPS 2024 Effective Distillation of Table-based Reasoning Ability from LLMs COLING 2024 Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation NeurIPS 2024 Efficient Audio Captioning with Encoder-Level Knowledge Distillation Interspeech 2024 Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification NAACL 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Efficient Feature Distillation for Zero-Shot Annotation Object Detection WACV 2024 Efficiently Distilling LLMs for Edge Applications NAACL 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Efficient Speaker Embedding Extraction Using a Twofold Sliding Window Algorithm for Speaker Diarization Interspeech 2024 Efficient Stitchable Task Adaptation CVPR 2024 Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation EMNLP 2024 Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models AAAI 2024 Enhanced Face Recognition using Intra-class Incoherence Constraint ICLR 2024 Enhanced Feature Learning with Normalized Knowledge Distillation for Audio Tagging Interspeech 2024 Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024 Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation ACL 2024 Enhancing Legal Expertise in Large Language Models through Composite Model Integration: The Development and Evaluation of Law-Neo EMNLP 2024 Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024 Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study ACL 2024 Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction ICLR 2024