1 citations · 1 across the 5 of their papers we have counts for
6 papers
presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search
Weixuan Ding, Shang Liu, Hanyu Pei +1
Object placement is critical in image composition, requiring spatially and semantically coherent positioning of objects within diverse scenes. Existing approaches typically rely on…
ShallowJail: Steering Jailbreaks against Large Language Models
Shang Liu, Hanyu Pei, Zeyan Liu
Large Language Models(LLMs) have been successful in numerous fields. Alignment has usually been applied to prevent them from harmful purposes. However, aligned LLMs remain vulnerab…
SOLID: a Framework of Synergizing Optimization and LLMs for Intelligent Decision-Making
Yinsheng Wang, Tario G You, Léonard Boussioux +1
This paper introduces SOLID (Synergizing Optimization and Large Language Models for Intelligent Decision-Making), a novel framework that integrates mathematical optimization with t…
Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation
Guilin Zhang, Wulan Guo, Ziqi Tan +8
Industrial and government organizations increasingly depend on data-driven analytics for workforce, finance, and regulated decision processes, where timeliness, cost efficiency, an…
Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
Zixin Rao, Youssef Mohamed, Shang Liu +1
Large Language Models (LLMs), such as GPT-4 and Llama, have demonstrated remarkable abilities in generating natural language. However, they also pose security and integrity challen…
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
Shengkun Wang, Taoran Ji, Linhan Wang +4
The stock price prediction task holds a significant role in the financial domain and has been studied for a long time. Recently, large language models (LLMs) have brought new ways…