Summary of Instruction Fine-tuning: Does Prompt Loss Matter?, by Mathew Huerta-enochian et al.
Instruction Fine-Tuning: Does Prompt Loss Matter?by Mathew Huerta-Enochian, Seung Yong KoFirst submitted to arxiv on:…
Instruction Fine-Tuning: Does Prompt Loss Matter?by Mathew Huerta-Enochian, Seung Yong KoFirst submitted to arxiv on:…
How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and…
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasksby Jing Yu Koh, Robert Lo, Lawrence…
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Modelsby Ruixin Song, Gabriel Spadon,…
Sparse identification of nonlinear dynamics in the presence of library and system uncertaintyby Andrew O'BrienFirst…
Contractive Diffusion Probabilistic Modelsby Wenpin Tang, Hanyang ZhaoFirst submitted to arxiv on: 23 Jan 2024CategoriesMain:…
Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equationsby Liqun Zhao, Keyan Miao,…
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistenceby Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen,…
Compositional Generative Inverse Designby Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca…
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detectionby Ke Ye, Heinrich Jiang,…