6 citations · 6 across the 7 of their papers we have counts for
9 papers
HACHIMI-II: From Role-Play to Learner Behavior Modeling for Faithful Student Simulation
Yilin Jiang, Fei Tan, Xuanyu Yin +2
Simulated students let researchers test tutoring systems and teaching strategies before real learners are available, but only if the simulation reproduces where a particular learne…
Mapping Arctic Polynyas from Sea Ice Concentration Data Using Hierarchical Partitioning and Differentiated Region Growing: Sensitivity to Threshold and Product Choices
Tianyu Zhang, Haiyi Ren, Zhilun Zhang +4
Accurately delineating Arctic coastal polynyas from sea ice concentration data remains challenging because of complex coastal geometry and spatially heterogeneous ice conditions. W…
ADE: Agentic Data Evolution Framework for Human-Centered Objectives
Yang Yu, Yilin Jiang, Zexuan Fei +6
Aligning large language models to human-centered objectives is difficult when targets are non-executable and context-dependent, limiting reliable verification and scalable supervis…
ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models
Yilin Jiang, Xiaorong Zhu, Fei Tan +9
Large language models are increasingly deployed in education as tutors, teaching assistants, and content generators. These roles place demands that ordinary question answering does…
DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing
Xuanyu Yin, Yilin Jiang, Jun Zhou +3
As large language models (LLMs) are increasingly deployed in user-facing systems, black-box jailbreak defense has become an important practical problem. Existing defenses often rel…
HACHIMI: Scalable and Controllable Student Persona Generation via Orchestrated Agents
Yilin Jiang, Fei Tan, Xuanyu Yin +2
Student Personas (SPs) are emerging as infrastructure for educational LLMs, yet prior work often relies on ad-hoc prompting or hand-crafted profiles with limited control over educa…
EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin +5
Large Language Models for Simulating Professions (SP-LLMs), particularly as teachers, are pivotal for personalized education. However, ensuring their professional competence and et…
EMNLP: Educator-role Moral and Normative Large Language Models Profiling
Yilin Jiang, Mingzi Zhang, Sheng Jin +3
Simulating Professions (SP) enables Large Language Models (LLMs) to emulate professional roles. However, comprehensive psychological and ethical evaluation in these contexts remain…
ArtMentor: AI-Assisted Evaluation of Artworks to Explore Multimodal Large Language Models Capabilities
Chanjin Zheng, Zengyi Yu, Yilin Jiang +4
Can Multimodal Large Language Models (MLLMs), with capabilities in perception, recognition, understanding, and reasoning, function as independent assistants in art evaluation dialo…