Zobrazeno 1 - 10
of 15 075
pro vyhledávání: '"Park, In Won"'
Autor:
Rabault, Jean, Taelman, Catherine, Idžanović, Martina, Hope, Gaute, Nose, Takehiko, Kristoffersen, Yngve, Jensen, Atle, Breivik, Øyvind, Bryhni, Helge Thomas, Hoppmann, Mario, Demchev, Denis, Korosov, Anton, Johansson, Malin, Eltoft, Torbjørn, Dagestad, Knut-Frode, Röhrs, Johannes, Eriksson, Leif, Moro, Marina Durán, Rikardsen, Edel S. U., Waseda, Takuji, Kodaira, Tsubasa, Lohse, Johannes, Desjonquères, Thibault, Olsen, Sveinung, Gundersen, Olav, de Aguiar, Victor Cesar Martins, Karlsen, Truls, Babanin, Alexander, Voermans, Joey, Park, Jeong-Won, Müller, Malte
Sea ice is a key element of the global Earth system, with a major impact on global climate and regional weather. Unfortunately, accurate sea ice modeling is challenging due to the diversity and complexity of underlying physics happening there, and a
Externí odkaz:
http://arxiv.org/abs/2409.04151
Autor:
Tagasovska, Nataša, Park, Ji Won, Kirchmeyer, Matthieu, Frey, Nathan C., Watkins, Andrew Martin, Ismail, Aya Abdelsalam, Jamasb, Arian Rokkum, Lee, Edith, Bryson, Tyler, Ra, Stephen, Cho, Kyunghyun
Machine learning (ML) has demonstrated significant promise in accelerating drug design. Active ML-guided optimization of therapeutic molecules typically relies on a surrogate model predicting the target property of interest. The model predictions are
Externí odkaz:
http://arxiv.org/abs/2407.21028
Empathy serves as a cornerstone in enabling prosocial behaviors, and can be evoked through sharing of personal experiences in stories. While empathy is influenced by narrative content, intuitively, people respond to the way a story is told as well, t
Externí odkaz:
http://arxiv.org/abs/2405.17633
Autor:
Shen, Jocelyn, Kim, Yubin, Hulse, Mohit, Zulfikar, Wazeer, Alghowinem, Sharifa, Breazeal, Cynthia, Park, Hae Won
Modeling empathy is a complex endeavor that is rooted in interpersonal and experiential dimensions of human interaction, and remains an open problem within AI. Existing empathy datasets fall short in capturing the richness of empathy responses, often
Externí odkaz:
http://arxiv.org/abs/2405.15708
Autor:
Kim, Yubin, Park, Chanwoo, Jeong, Hyewon, Chan, Yik Siu, Xu, Xuhai, McDuff, Daniel, Breazeal, Cynthia, Park, Hae Won
Foundation models have become invaluable in advancing the medical field. Despite their promise, the strategic deployment of LLMs for effective utility in complex medical tasks remains an open question. Our novel framework, Medical Decision-making Age
Externí odkaz:
http://arxiv.org/abs/2404.15155
We describe an approach for aligning an LLM-based dialogue agent based on global (i.e., dialogue-level) rewards, while also taking into account naturally-occurring multimodal signals. At a high level, our approach (dubbed GELI) learns a local, turn-l
Externí odkaz:
http://arxiv.org/abs/2403.11330
Large language models (LLMs) are capable of many natural language tasks, yet they are far from perfect. In health applications, grounding and interpreting domain-specific and non-linguistic data is crucial. This paper investigates the capacity of LLM
Externí odkaz:
http://arxiv.org/abs/2401.06866
Publikováno v:
Proceedings of the 2024 ACM/IEEE International Conference on Human - Robot Interaction (HRI24), March 11 - 14, 2024, Boulder, CO, USA
In this paper, we introduce a novel conceptual model for a robot's behavioral adaptation in its long-term interaction with humans, integrating dynamic robot role adaptation with principles of flow experience from psychology. This conceptualization in
Externí odkaz:
http://arxiv.org/abs/2401.02833
This paper presents a method for achieving high-speed running of a quadruped robot by considering the actuator torque-speed operating region in reinforcement learning. The physical properties and constraints of the actuator are included in the traini
Externí odkaz:
http://arxiv.org/abs/2312.17507
This paper presents a contact-implicit model predictive control (MPC) framework for the real-time discovery of multi-contact motions, without predefined contact mode sequences or foothold positions. This approach utilizes the contact-implicit differe
Externí odkaz:
http://arxiv.org/abs/2312.08961