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General Session

General Session » GS-2 Machine learning

[1B3-GS-2] Machine learning: Generative model

Tue. May 28, 2024 1:00 PM - 2:40 PM Room B (Concert hall)

座長：比嘉恭太（NEC）

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1:00 PM - 1:20 PM

[1B3-GS-2-01] Function Calling for Structured Responses in Large Language Models for Automated Classification of Non-Functional Requirements in Information Systems

〇Kazuhiro Mukaida¹, Seiji Fukui², Takeshi Nagaoka², Takayuki Kitagawa², Shinpei Ogata¹, Kozo Okano¹ (1. Shinshu University, 2. Toshiba Corporation)

1:20 PM - 1:40 PM

[1B3-GS-2-02] Assessing Distribution Shift in Reinforcement Learning from Human Feedback

〇Mitsuki Sakamoto¹, Tetsuro Morimura¹, Yuu Jinnai¹, Kenshi Abe¹, Kaito Ariu¹ (1. CyberAgent, Inc.)

1:40 PM - 2:00 PM

[1B3-GS-2-03] Ability to understand the logical structure of Large Language Models and generate predictive model

〇Toma Tanaka¹, Naofumi Emoto¹, Yumibayashi Tsukasa¹ (1. BrainPad Inc.)

2:00 PM - 2:20 PM

[1B3-GS-2-04] Exploration of Using Large Language Models in Cause Estimation for Anomaly Detection of Packet Payloads

〇Tomokatsu Takahashi¹, Yuuki Yamanaka¹ (1. NTT Social Informatics Laboratories)

[[Online]]

2:20 PM - 2:40 PM

[1B3-GS-2-05] A method for improving the accuracy of multi-domain adaptive vision language model using prompt learning

〇ZHENYU GAO¹, AYAKO YAMAGIWA¹, MASAYUKI GOTO¹ (1. WASEDA University)

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