Luca Zappella
13 papers · 2020–2026 · 8 venues · across top CS/AI venues
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large language model
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multi-view self-supervised learning
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activation steering
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self-supervised learning
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diffusion model
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multi-view learning
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transfer learning
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data augmentation
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optimal transport
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uncertainty quantification
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image reconstruction
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Papers
DSO: Direct Steering Optimization for Bias Mitigation
CVPR 2026
Bias after Prompting: Persistent Discrimination in Large Language Models
EMNLP 2025
Controlling Language and Diffusion Models by Transporting Activations
ICLR 2025
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
ICML 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
ACL 2025
Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
ICML 2025
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
ICML 2024
DeepPCR: Parallelizing Sequential Operations in Neural Networks
NeurIPS 2023
DUET: 2D Structured and Approximately Equivariant Representations
ICML 2023
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning
Interspeech 2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
ICML 2023
Self-conditioning Pre-Trained Language Models
ICML 2022
Filter Distillation for Network Compression
WACV 2020