Lior Wolf
- Papers
- 24
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Authored papers
24ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA
arXiv 2026
TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
arXiv 2026
TokenTrim: Inference-Time Token Pruning for Autoregressive Long Video Generation
arXiv 2026
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
arXiv 2025
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
arXiv 2025
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
arXiv 2025
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
arXiv 2024
The Hidden Attention of Mamba Models
arXiv 2024
Segment-Based Attention Masking for GPTs
arXiv 2024
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
arXiv 2024
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
arXiv 2024
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
arXiv 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
ICCV 2023 1
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
arXiv 2023
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
audiotoken-adaptation-of-text-conditioned
The Hidden Language of Diffusion Models
arXiv 2023
2-D SSM: A General Spatial Layer for Visual Transformers
arXiv 2023
OCD: Learning to Overfit with Conditional Diffusion Models
arXiv 2022
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
ICCV 2021 10
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
CVPR 2022 1
Transformer Interpretability Beyond Attention Visualization
CVPR 2021 1
Voice Separation with an Unknown Number of Multiple Speakers
ICML 2020 1
Specifying Object Attributes and Relations in Interactive Scene Generation
specifying-object-attributes-and-relations-in-1
Using the Output Embedding to Improve Language Models
using-the-output-embedding-to-improve-1
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