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Published in EMNLP2023 Findings, 2024
This paper introduce HI-TOM, a Higher Order Theory of Mind benchmark for LLMs.
Recommended citation: He Yinghui, Yufan Wu, Yilin Jia, Rada Mihalcea, Yulong Chen and Naihao Deng. “HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models.” ArXiv abs/2310.16755 (2023): n. pag. https://arxiv.org/abs/2310.16755
Published in EMNLP2023 Main Conference, 2024
This paper proposed a method to build a better tokenizer for downstream task.
Recommended citation: Liu, Siyang, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang and Rada Mihalcea. “Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond.” (2023). https://arxiv.org/abs/2310.05317
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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