1 citations · 2 across the 10 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
MoFlow: Multi-Objective Agentic Workflow Generation
Yining Lu, Aurelie Lozano, Xi Yang +3
We study the generation of agentic workflows that jointly optimize multiple objectives, such as accuracy, cost, latency, robustness, and consistency. Existing methods for workflow…
cs.AI2023
GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution
Yining Lu, Haoping Yu, Daniel Khashabi
Augmenting large language models (LLM) to use external tools enhances their performance across a variety of tasks. However, prior works over-rely on task-specific demonstration of…
cs.AI2022
Functional Optimization Reinforcement Learning for Real-Time Bidding
Yining Lu, Changjie Lu, Naina Bandyopadhyay +2
Real-time bidding is the new paradigm of programmatic advertising. An advertiser wants to make the intelligent choice of utilizing a \textbf{Demand-Side Platform} to improve the pe…