49 citations · 93 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
SteganoBackdoor: Evading Data-Poisoning Defenses via Steganographic Backdoors
Eric Xue, Ruiyi Zhang, Pengtao Xie
Transformer-based models are highly susceptible to backdoor attacks via supervised fine-tuning (SFT). To red-team existing data-poisoning defenses, prior work has increasingly focu…
Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
Zhenwei Tang, Difan Jiao, Eric Xue +4
As humans seek to collaborate with, learn from, and better understand artificial intelligence systems, developing AIs that can accurately emulate individual decision-making becomes…
Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning
Rebekah A. Gelpí, Eric Xue, William A. Cunningham
We propose a hybrid approach to machine Theory of Mind (ToM) that uses large language models (LLMs) as a mechanism for generating hypotheses and likelihood functions with a Bayesia…
A New Benchmark for Online Learning with Budget-Balancing Constraints
Mark Braverman, Jingyi Liu, Jieming Mao +2
The adversarial Bandit with Knapsack problem is a multi-armed bandits problem with budget constraints and adversarial rewards and costs. In each round, a learner selects an action…
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…