4 citations · 10 across the 5 of their papers we have counts for
5 papers
Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling
Zillur Rahman, Alex Sheng, Cristian Meo
While large-scale datasets have driven significant progress in Text-to-Video (T2V) generative models, these models remain highly sensitive to input prompts, demonstrating that prom…
From Language Models to Practical Self-Improving Computer Agents
Alex Sheng
We develop a simple and straightforward methodology to create AI computer agents that can carry out diverse computer tasks and self-improve by developing tools and augmentations to…
Task Transfer and Domain Adaptation for Zero-Shot Question Answering
Xiang Pan, Alex Sheng, David Shimshoni +3
Pretrained language models have shown success in various areas of natural language processing, including reading comprehension tasks. However, when applying machine learning method…
Self-Programming Artificial Intelligence Using Code-Generating Language Models
Alex Sheng, Shankar Padmanabhan
Recent progress in large-scale language models has enabled breakthroughs in previously intractable computer programming tasks. Prior work in meta-learning and neural architecture s…
Distributed Evolution Strategies Using TPUs for Meta-Learning
Alex Sheng, Derek He
Meta-learning traditionally relies on backpropagation through entire tasks to iteratively improve a model's learning dynamics. However, this approach is computationally intractable…