collaborators

10 papers

cs.GT2026

Hardness of Approximate Hylland-Zeckhauser Equilibria

Mark Braverman, Jingyi Liu, Eric Xue +1

In this paper, we investigate the computational hardness of finding fractional allocations to unit-demand players using competitive equilibria from equal incomes (CEEI), where we a…

cs.GT2026

Stronger core results with multidimensional prices

Mark Braverman, Jingyi Liu, Eric Xue +1

We study one-sided matchings with endowments in the absence of money. It is well-known that a competitive equilibrium may not always exist and that the strong core may be empty in…

cs.LG2026

FunPRM: Function-as-Step Process Reward Model with Meta Reward Correction for Code Generation

Ruiyi Zhang, Peijia Qin, Qi Cao +2

Code generation is a core application of large language models (LLMs), yet LLMs still frequently fail on complex programming tasks. Given its success in mathematical reasoning, tes…

cs.CR2026

SteganoBackdoor: Stealthy and Data-Efficient Backdoor Attacks on Language Models

Eric Xue, Ruiyi Zhang, Pengtao Xie

Modern language models remain vulnerable to backdoor attacks via poisoned data, where training inputs containing a trigger are paired with a target output, causing the model to rep…

cs.SD2025

Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems

Yash Vishe, Eric Xue, Xunyi Jiang +4

Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game development. Recent advances in music editing systems have enabled di…

cs.CV2025

IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts

Eric Xue, Ke Chen, Zeyi Huang +2

Large language model (LLM) agents have emerged as a promising solution to automate the workflow of machine learning, but most existing methods share a common limitation: they attem…