What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- Hongkang Li
- Meng Wang
- et al.
- 2024
- ICML 2024
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- Foundation Models
601 results for Foundation Models
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- Yihua Zhang
- Pingzhi Li
- et al.
- 2024
- ICML 2024
Data Engineering for Scaling Language Models to 128K Context
- Yao Fu
- Rameswar Panda
- et al.
- 2024
- ICML 2024
Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing ready ?
- Apoorve Mohan
- Mengmei Ye
- et al.
- 2024
- CLOUD 2024
Transformer Models with Explainability for IT Telemetry and Business Events
- Shiau Hong Lim
- Laura Wynter
- 2024
- SSE 2024
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
- Shaoze Fan
- Haoshu Lu
- et al.
- 2024
- DAC 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- Chen Chen
- Ruizhe Li
- et al.
- 2024
- ICLR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- Yu-Lin Tsai
- Chia-yi Hsu
- et al.
- 2024
- ICLR 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024