From the 1 of 13 linked papers with an AI index.
13 papers
iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification
Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang +2
The paper defines the travel itinerary modification task and introduces iTIMO, a dataset created by using large language models to perturb real itineraries through replace, add, an…
Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process
Zhijun Chen, Zeyu Ji, Qianren Mao +12
We propose LLM-PeerReview, an unsupervised LLM Ensemble method that selects the most ideal response from multiple LLM-generated candidates for each query, harnessing the collective…
VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection
Samal Mukhtar, Yinghua Yao, Zhu Sun +3
Software vulnerability detection (SVD) is a critical challenge in modern systems. Large language models (LLMs) offer natural-language explanations alongside predictions, but most w…
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data
Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee +3
Smartphone sensing offers an unobtrusive and scalable way to track daily behaviors linked to mental health, capturing changes in sleep, mobility, and phone use that often precede s…
A Reinforcement Learning Method to Factual and Counterfactual Explanations for Session-based Recommendation
Han Zhou, Hui Fang, Zhu Sun +1
Session-based Recommendation (SR) systems have recently achieved considerable success, yet their complex, "black box" nature often obscures why certain recommendations are made. Ex…