knowledge distillation

Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification NAACL 2024 Efficient End-to-End Visual Document Understanding with Rationale Distillation NAACL 2024 Efficient Feature Distillation for Zero-Shot Annotation Object Detection WACV 2024 Efficiently Distilling LLMs for Edge Applications NAACL 2024 Efficient Multitask Dense Predictor via Binarization CVPR 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 Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 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 ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024 EM Distillation for One-step Diffusion Models NeurIPS 2024 Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models WACV 2024 Enhanced Face Recognition using Intra-class Incoherence Constraint ICLR 2024 Enhanced Feature Learning with Normalized Knowledge Distillation for Audio Tagging Interspeech 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation ICML 2024 Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024 Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024 Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation ACL 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Enhancing Legal Expertise in Large Language Models through Composite Model Integration: The Development and Evaluation of Law-Neo 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 One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024