13 citations · 19 across the 5 of their papers we have counts for
5 papers
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
Ying Zhou, Xinyao Wang, Yulei Niu +6
Recent advancements in large language models (LLMs) have significantly enhanced their knowledge and generative capabilities, leading to a surge of interest in leveraging LLMs for h…
AIPO: Improving Training Objective for Iterative Preference Optimization
Yaojie Shen, Xinyao Wang, Yulei Niu +5
Preference Optimization (PO), is gaining popularity as an alternative choice of Proximal Policy Optimization (PPO) for aligning Large Language Models (LLMs). Recent research on ali…
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
Ying Zhou, Ben He, Le Sun
With the development of large language models (LLMs), detecting whether text is generated by a machine becomes increasingly challenging in the face of malicious use cases like the…
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
Xinlin Peng, Ying Zhou, Ben He +2
Large language models (LLMs) have exhibited remarkable capabilities in text generation tasks. However, the utilization of these models carries inherent risks, including but not lim…
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Ying Zhou, Xuanang Chen, Ben He +2
Knowledge graph completion (KGC) aims to infer missing knowledge triples based on known facts in a knowledge graph. Current KGC research mostly follows an entity ranking protocol,…