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Knowledge Distillation
503 directly classified papers
Papers per year
2017: 3
2018: 7
2019: 12
2020: 26
2021: 54
2022: 72
2023: 81
2024: 118
2025: 129
2026: 1
Papers
An Empirical Study of Multilingual Reasoning Distillation for Question Answering
EMNLP 2024
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes
SEMEVAL 2024
Investigating Mysteries of CoT-Augmented Distillation
EMNLP 2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
EMNLP 2024
Text Simplification via Adaptive Teaching
ACL 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation
EMNLP 2024
Advancing Large Language Model Attribution through Self-Improving
EMNLP 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning
IJCAI 2024
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
EMNLP 2024
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation
IJCAI 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NIPS 2024
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction
IJCAI 2024
Fine-Grained Distillation for Long Document Retrieval
AAAI 2024
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
AAAI 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
AAAI 2024
A Kernel Perspective on Distillation-based Collaborative Learning
NIPS 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
NIPS 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NIPS 2024
Decoupled Kullback-Leibler Divergence Loss
NIPS 2024
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
NIPS 2024
Self-Supervised Quantization-Aware Knowledge Distillation
AISTATS 2024
Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure
SEMEVAL 2024
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
AAAI 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
AAAI 2024
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