Linhao Yu

According to our database1, Linhao Yu authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search.
CoRR, June, 2025

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos.
CoRR, May, 2025

Self-Pluralising Culture Alignment for Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Large Language Model Safety: A Holistic Survey.
CoRR, 2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models.
CoRR, 2024

OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety.
CoRR, 2024

Identifying Multiple Personalities in Large Language Models with External Evaluation.
CoRR, 2024

LFED: A Literary Fiction Evaluation Dataset for Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Evaluating Large Language Models: A Comprehensive Survey.
CoRR, 2023

M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models.
CoRR, 2023

CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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