most citedGuardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM

2 citations · 4 across the 9 of their papers we have counts for

collaborators
Showing cs.CYShow all

2 papers · 1 filter

cs.CY2025★ 1 cited

When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer Review

Changjia Zhu, Junjie Xiong, Renkai Ma +3

Peer review is the cornerstone of academic publishing, yet the process is increasingly strained by rising submission volumes, reviewer overload, and expertise mismatches. Large lan…

cs.CY2025★ 1 cited

Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild"

Lingyao Li, Renkai Ma, Zhaoqian Xue +1

While Large Language Models (LLMs) are rapidly integrating into daily life, research on their risks often remains lab-based and disconnected from the problems users encounter "in t…