Yi Zeng
- Papers
- 16
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Authored papers
16EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions
arXiv 2026
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence
arXiv 2025
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
arXiv 2025
CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
arXiv 2025
PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
arXiv 2025
Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning
arXiv 2025
Introducing v0.5 of the AI Safety Benchmark from MLCommons
arXiv 2024
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
arXiv 2024
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors
arXiv 2024
CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization
arXiv 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
arXiv 2024
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
arXiv 2024
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
arXiv 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
arXiv 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
arXiv 2023
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
arXiv 2023
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