Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalizationby Zexi Li, Lingzhi Gao, Chao WuFirst submitted…
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiersby Felix den Breejen, Sangmin Bae, Stephen…
Investigating Symbolic Capabilities of Large Language Modelsby Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur…
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learningby Guanglin Zhou, Zhongyi…
Images that Sound: Composing Images and Sounds on a Single Canvasby Ziyang Chen, Daniel Geng,…
Prompt Learning for Generalized Vehicle Routingby Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu…
LiPost: Improved Content Understanding With Effective Use of Multi-task Contrastive Learningby Akanksha Bindal, Sudarshan Ramanujam,…
Latent State Estimation Helps UI Agents to Reasonby William E Bishop, Alice Li, Christopher Rawles,…
Towards Modular LLMs by Building and Reusing a Library of LoRAsby Oleksiy Ostapenko, Zhan Su,…
Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomyby Federico Moiraghi, Matteo Palmonari, Davide Allavena,…