4 papers
Boosting Adversarial Transferability via Ensemble Non-Attention
Yipeng Zou, Qin Liu, Jie Wu +4
Ensemble attacks integrate the outputs of surrogate models with diverse architectures, which can be combined with various gradient-based attacks to improve adversarial transferabil…
TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward
Yincen Qu, Huan Xiao, Feng Li +5
In our deployed travel-planning service, most users give minimal inputs or free-form requests rather than the structured constraint checklists assumed by existing benchmarks. We th…
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
Peizhi Niu, Evelyn Ma, Huiting Zhou +5
Unlearning large language models (LLMs) is important due to copyright and privacy concerns. A key challenge is unintended forgetting, where removing data inadvertently impairs mode…
Deploying Multi-task Online Server with Large Language Model
Yincen Qu, Chao Ma, Xiangying Dai +3
In the industry, numerous tasks are deployed online. Traditional approaches often tackle each task separately by its own network, which leads to excessive costs for developing and…