activity
20232026
most citedFFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity

5 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

OpenTWBench (Open Taiwan Benchmark): Taiwan-Domain Knowledge Evaluation for Large Language Models, and How the Measurement Apparatus Shapes the Score

Liang-Hsun Huang, Min-Yi Chen, Chao-Chun Chuang +3

We present OpenTWBench, an open evaluation suite for Taiwan-domain knowledge in large language models, built around two benchmarks. tw-exam-bench contains 255,854 four-option quest…

cs.CR2026

What If Prompt Injection Never Left? Rethinking Agent Security through Cross-Session Stored Prompt Injection

Yuanbo Xie, Wenlei Zhu, Tianyun Liu +5

Modern agentic systems fundamentally reshape the security boundary of LLMs by introducing persistent system state including memories, filesystems, tools, and other long-lived conte…

cs.CR2025

Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal Direction

Yuanbo Xie, Yingjie Zhang, Tianyun Liu +2

Jailbreak attacks pose persistent threats to large language models (LLMs). Current safety alignment methods have attempted to address these issues, but they experience two signific…

cs.CL2025

SOTOPIA-: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents

Wenyuan Zhang, Tianyun Liu, Mengxiao Song +2

Despite the abundance of prior social strategies possessed by humans, there remains a paucity of research dedicated to their transfer and integration into social agents. Our propos…

cs.CL2023★ 5 cited

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity

Shiyao Cui, Zhenyu Zhang, Yilong Chen +4

The widespread of generative artificial intelligence has heightened concerns about the potential harms posed by AI-generated texts, primarily stemming from factoid, unfair, and tox…