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Chenghao Zhu

3 accepted papers

2025

Is Your LLM Outdated? A Deep Look at Temporal Generalization

NAACL 2025long

The rapid advancement of Large Language Models (LLMs) has led to the development of benchmarks that consider temporal dynamics, however, there remains a gap in understanding how well these models can generalize across temporal contexts due to the inherent dynamic nature of language and information.…

2025

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria

NAACL 2025long

Multimodal large language models (MLLMs) have broadened the scope of AI applications. Existing automatic evaluation methodologies for MLLMs are mainly limited in evaluating objective queries without considering real-world user experiences, inadequately addressing the nuances of creative and associat…