Large Language Model
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
AR baseline by improving Frรฉchet inception distance (FID) from 18.65 to 1.73, inception score (IS) from 80.4 to 350.2, with 20
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu1 Tong Y u 2 Rui Wang 3 Zhao Song
However, recent works reveal that it is non-trivial to find a proper initialization of the prompt tokens.
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
Furthermore, we explore the potential of language models in generating co-crystals. Finally, we present numerous previously unknown co-crystals predicted by GEM-CODE and discuss its potential in accelerating drug development.
Enhancing Efficiency of Generated Code via Self-Optimization Dong Huang
These profiles are fed back to the LLM, which then revises the code to reduce overhead.
FAST opic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model Xiaobao Wu1 Thong Nguyen
Topic models have been evolving rapidly over the years, from conventional to recent neural models.