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Creators/Authors contains: "Zhou, Tianyi"

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  1. ; ; ; ; ; (, International Conference on Learning Representation (ICLR))
    Free, publicly-accessible full text available April 23, 2026
  2. ; ; ; (, The Thirty-eighth Annual Conference on Neural Information Processing Systems)
    Free, publicly-accessible full text available December 1, 2025
  3. ; ; ; ; (, The 2024 Conference on Empirical Methods in Natural Language Processing)
    Free, publicly-accessible full text available November 12, 2025
  4. ; ; ; ; (, Findings of the Association for Computational Linguistics: EMNLP 2024)
    Free, publicly-accessible full text available November 11, 2025
  5. ; ; ; ; (, Forty-first International Conference on Machine Learning (ICML 2024))
    Accepted Manuscript Full Text Available
  6. ; ; ; ; ; ; ; ; (, Forty-first International Conference on Machine Learning (ICML 2024))
    Accepted Manuscript Full Text Available
  7. ; ; ; (, Association for Computational Linguistics)
    CAIMIRA discovers the skills that humans and AIs use to answer questions. By scraping websites where trivia nerds answer really difficult questions and posing those questions to AI models like GPT-4 and LLaMA-3-70B, while humans excel in knowledge-based abductive reasoning, AI outperforms on fact-based historical recall. This research suggests future challenges should focus on more complex reasoning and nuanced language tasks to better align AI development with human cognitive strengths. 
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    Full Text Available 
  8. ; ; ; ; ; ; ; ; ; ; et al (, The Twelfth International Conference on Learning Representations (ICLR 2024))
    Accepted Manuscript Full Text Available
  9. ; ; ; ; ; (, International Conference on Learning Representations)
    Accepted Manuscript Full Text Available
  10. ; ; ; ; ; ; ; (, 36th Conference on Neural Information Processing Systems (NeurIPS 2022))
    Accepted Manuscript Full Text Available