8 papers
Chrysalis: A Unified System for Comparing Active Teaching and Passive Learning with AI Agents in Education
Prashanth Arun, Vinita Vader, Erya Xu +6
AI-assisted learning has seen a remarkable uptick over the last few years, mainly due to the rise in popularity of Large Language Models (LLMs). Their ability to hold long-form, na…
Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation
Ankit Vadehra, Bill Johnson, Gene Saunders +1
Text editing can involve several iterations of revision. Incorporating an efficient Grammar Error Correction (GEC) tool in the initial correction round can significantly impact fur…
A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models
Yanting Miao, William Loh, Pacal Poupart +1
Recent work uses reinforcement learning (RL) to fine-tune text-to-image diffusion models, improving text-image alignment and sample quality. However, existing approaches introduce…
Basis Transformers for Multi-Task Tabular Regression
Wei Min Loh, Jiaqi Shang, Pascal Poupart
Dealing with tabular data is challenging due to partial information, noise, and heterogeneous structure. Existing techniques often struggle to simultaneously address key aspects of…
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang +2
Offline reinforcement learning (RL) is crucial when online exploration is costly or unsafe but often struggles with high epistemic uncertainty due to limited data. Existing methods…
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Gustavo Sutter Pessurno de Carvalho, Mohammed Abdulrahman, Hao Wang +7
The optimization of expensive black-box functions is ubiquitous in science and engineering. A common solution to this problem is Bayesian optimization (BO), which is generally comp…