Blog(3)
SemEval-2024 Task 8 provides a challenge to detect human-written and machine-generated text. There are 3 subtasks for different detection scenarios. This paper proposes a system that mainly deals with Subtask B.
Large Language Models (LLMs), particularly the debut of ChatGPT, have made significant advancement and demonstrated the ability to produce coherent and natural-sounding text across a wide range of applications.
Wouldn't it be nice when you say ‘the room is too bright' and an automated system can plan to close the window and/or level down the lights to make the room less bright? To perform such device control task, the system not only requires understanding the intent of utterance, but also needs to devise multi-step plan to achieve the intended goal.
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Publications(3)
Z-FOLD: A Frustratingly Easy Post-Training Quantization Scheme for LLMs
AuthorYongkweon Jeon, Chungman Lee, Kyungphil Park, Ho-young Kim
PublishedConference on Empirical Methods in Natural Language Processing (EMNLP)
Date2023-12-06
WristAcoustic: Through-Wrist Acoustic Response Based Authentication for Smartwatches
AuthorJUN HO HUH, Samsung Research, Republic of Korea HYEJIN SHIN, Samsung Research, Republic of Korea HONGMIN KIM, Ulsan National Institute of Science and Technology, Republic of Korea EUNYONG CHEON, Ulsan National Institute of Science and Technology, Republic of Korea YOUNGEUN SONG, Ulsan National Institute of Science and Technology, Republic of Korea CHOONG-HOON LEE, Samsung Research, Republic of Korea IAN OAKLEY, Ulsan National Institute of Science and Technology, Republic of Korea
PublishedACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Date2023-01-11
Multi-relational Poincare Graph Embeddings
AuthorIvana Balaževi´, Carl Allen, Tim Hospedales
PublishedNeural Information Processing Systems (NeurIPS)
Date2019-09-04
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Large Language Models (LLMs), particularly the debut of ChatGPT, have made significant advancement and demonstrated the ability to produce coherent and natural-sounding text across a wide range of applications. However, the proliferation of generated text has raised concerns regarding the potential for misuse of these LLMs.
Large Language Models (LLMs) have showcased impressive capabilities in text generation, translation, and code synthesis. Recent efforts focus on integrating LLMs, notably ChatGPT, into robotics for tasks like zero-shot system planning [1].
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