Abstract page for arXiv paper 2110.02313: Phoebe: A Learning-based Checkpoint Optimizer
Abstract page for arXiv paper 2202.10726: The duo Bregman and Fenchel-Young divergences
Abstract page for arXiv paper 2204.03706: Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems
Abstract page for arXiv paper 2206.15000: Grounded Copilot: How Programmers Interact with Code-Generating Models
Abstract page for arXiv paper 2207.06220: Improving Wikipedia Verifiability with AI
Abstract page for arXiv paper 2208.10192: Towards Confidence-aware Calibrated Recommendation
Abstract page for arXiv paper 2210.03629: ReAct: Synergizing Reasoning and Acting in Language Models
Abstract page for arXiv paper 2302.03239: Calibrated Recommendations for Users with Decaying Attention
Abstract page for arXiv paper 2306.15033: Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle
Abstract page for arXiv paper 2307.00654: Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations