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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
Understanding the Gains from Repeated Self-Distillation
NIPS 2024
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
CVPR 2023
Merging Generated and Retrieved Knowledge for Open-Domain QA
EMNLP 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
EMNLP 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
EMNLP 2023
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
EMNLP 2023
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
EMNLP 2023
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models
EMNLP 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
EMNLP 2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
EMNLP 2023
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations
EMNLP 2023
Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification
EMNLP 2023
Text Representation Distillation via Information Bottleneck Principle
EMNLP 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
EMNLP 2023
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
EMNLP 2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
EMNLP 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
EMNLP 2023
H2O Open Ecosystem for State-of-the-art Large Language Models
EMNLP 2023
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
EMNLP 2023
A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models
EMNLP 2023
Multi-teacher Distillation for Multilingual Spelling Correction
EMNLP 2023
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer
EMNLP 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics
EMNLP 2023
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
EMNLP 2023
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