5 papers
ToolRec: Calibrated Preference Alignment for Query Recommendation in On-Device Assistants
Zihan Luo, Lingkui Chen, Ruike Zhang +5
Large Language Models (LLMs) have significantly advanced generative query recommendation. However, while alignment is crucial for tailoring LLMs to human preferences, existing alig…
Strengthening Bulow-Klemperer-Style Results for Multi-Unit Auctions
Moshe Babaioff, Yiding Feng, Zihan Luo
The classic result of Bulow and Klemperer (1996) shows that in multi-unit auctions with units and buyers whose values are sampled i.i.d. from a regular distribution,…
On the Fair Allocation to Asymmetric Agents with Binary XOS Valuations
Ziheng Chen, Bo Li, Zihan Luo +1
We study the problem of allocating indivisible goods among agents, where each agent's valuation is fractionally subadditive (XOS). With respect to AnyPrice Share (APS) fair…
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
Zihan Luo, Xiran Song, Hong Huang +5
Improving the general capabilities of large language models (LLMs) is an active research topic. As a common data structure in many real-world domains, understanding graph data is a…
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
Zihan Luo, Hong Huang, Yongkang Zhou +3
Despite the remarkable capabilities demonstrated by Graph Neural Networks (GNNs) in graph-related tasks, recent research has revealed the fairness vulnerabilities in GNNs when faci…