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Chengxiao Wang

3 accepted papers

2026

How Catastrophic is Your LLM? Certifying Risk in Conversation

ICLR 2026poster

Large Language Models (LLMs) can produce catastrophic responses in conversational settings that pose serious risks to public safety and security. Existing evaluations often fail to fully reveal these vulnerabilities because they rely on fixed attack prompt sequences, lack statistical guarantees, and…

Cited by 0SourceScholar
2025

LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement

AAAI 2025technical

Portable Document Format (PDF) files are dominantly used for storing and disseminating scientific research, legal documents, and tax information. LaTeX is a popular application for creating PDF documents. Despite its advantages, LaTeX is not WYSWYG---what you see is what you get, i.e., the LaTeX sou…

2025

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning

ICLR 2025poster

Binary code analysis is the foundation of crucial tasks in the security domain; thus building effective binary analysis techniques is more important than ever. Large language models (LLMs) although have brought impressive improvement to source code tasks, do not directly generalize to assembly code…

Cited by 0SourcePDFScholar