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Papers
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
ICLR 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
EACL 2024
On the Learnability of Watermarks for Language Models
ICLR 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
NeurIPS 2024
Ontologically Faithful Generation of Non-Player Character Dialogues
EMNLP 2024
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
ACL 2024
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
CVPR 2024
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
ACL 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
EMNLP 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
CVPR 2024
Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models
Interspeech 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
AAAI 2024
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
ICML 2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
NeurIPS 2024
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning
NAACL 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NeurIPS 2024
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
EMNLP 2024
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
CVPR 2024
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes
SemEval 2024
PB-LLM: Partially Binarized Large Language Models
ICLR 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
CVPR 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
CVPR 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
CVPR 2024