most citedGraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2026

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…

cs.GT2026

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,…

cs.GT2026

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…

cs.LG2024★ 1 cited

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…

cs.GT2024

Design and Characterization of Strategy-Proof Mechanisms for Two-Facility Game on a Line

Pinyan Lu, Zihan Luo, Jialin Zhang

We focus on the problem of placing two facilities along a linear space to serve a group of agents. Each agent is committed to minimizing the distance between her location and the c…

cs.AI2024★ 1 cited

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…