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Zeyang Zhou

3 accepted papers

2025

StrucText-Eval: Evaluating Large Language Model’s Reasoning Ability in Structure-Rich Text

ACL 2025long

The effective utilization of structured data, integral to corporate data strategies, has been challenged by the rise of large language models (LLMs) capable of processing unstructured information. This shift prompts the question: can LLMs interpret structured data directly in its unstructured form?…

2024

Flames: Benchmarking Value Alignment of LLMs in Chinese

NAACL 2024long

The widespread adoption of large language models (LLMs) across various regions underscores the urgent need to evaluate their alignment with human values. Current benchmarks, however, fall short of effectively uncovering safety vulnerabilities in LLMs. Despite numerous models achieving high scores an…

2024

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models

NeurIPS 2024poster

Powered by remarkable advancements in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) demonstrate impressive capabilities in manifold tasks. However, the practical application scenarios of MLLMs are intricate, exposing them to potential malicious instructions and thereby posin…