Zobrazeno 1 - 10
of 44 798
pro vyhledávání: '"Soh BY"'
Autor:
Shim, Ryan Soh-Eun, Plank, Barbara
There is increasing interest in looking at dialects in NLP. However, most work to date still treats dialects as discrete categories. For instance, evaluative work in variation-oriented NLP for English often works with Indian English or African-Americ
Externí odkaz:
http://arxiv.org/abs/2410.14589
Autor:
Soh, Yun Joon, Zhao, Jishen
The explosion of open-sourced models and Question-Answering (QA) datasets emphasizes the importance of automated QA evaluation. We studied the statistics of the existing evaluation metrics for a better understanding of their limitations. By measuring
Externí odkaz:
http://arxiv.org/abs/2410.10030
Autor:
Ke, Yu He, Jin, Liyuan, Elangovan, Kabilan, Abdullah, Hairil Rizal, Liu, Nan, Sia, Alex Tiong Heng, Soh, Chai Rick, Tung, Joshua Yi Min, Ong, Jasmine Chiat Ling, Kuo, Chang-Fu, Wu, Shao-Chun, Kovacheva, Vesela P., Ting, Daniel Shu Wei
Large Language Models (LLMs) show potential for medical applications but often lack specialized clinical knowledge. Retrieval Augmented Generation (RAG) allows customization with domain-specific information, making it suitable for healthcare. This st
Externí odkaz:
http://arxiv.org/abs/2410.08431
Recent advances in diffusion-based robot policies have demonstrated significant potential in imitating multi-modal behaviors. However, these approaches typically require large quantities of demonstration data paired with corresponding robot action la
Externí odkaz:
http://arxiv.org/abs/2410.07584
We study EgalMAB, an egalitarian assignment problem in the context of stochastic multi-armed bandits. In EgalMAB, an agent is tasked with assigning a set of users to arms. At each time step, the agent must assign exactly one arm to each user such tha
Externí odkaz:
http://arxiv.org/abs/2410.05856
Safe and successful deployment of robots requires not only the ability to generate complex plans but also the capacity to frequently replan and correct execution errors. This paper addresses the challenge of long-horizon trajectory planning under tem
Externí odkaz:
http://arxiv.org/abs/2410.02389
Recently, with the development of Neural Radiance Fields and Gaussian Splatting, 3D reconstruction techniques have achieved remarkably high fidelity. However, the latent representations learnt by these methods are highly entangled and lack interpreta
Externí odkaz:
http://arxiv.org/abs/2410.01535
Autor:
Shcherbyna1, Volodymyr, Kästner, Linh, Diaz, Diego, Nguyen, Huu Giang, Schreff, Maximilian Ho-Kyoung, Lenz, Tim, Kreutz, Jonas, Martban, Ahmed, Zeng, Huajian, Soh, Harold
Building on the foundations of our previous work, this paper introduces Arena 4.0, a significant advancement over Arena 3.0, Arena-Bench, Arena 1.0, and Arena 2.0. Arena 4.0 offers three key novel contributions: (1) a generative-model-based world and
Externí odkaz:
http://arxiv.org/abs/2409.12471
Autor:
Chen, Junyu, Soh, Yong Sheng
The Quadratic Assignment Problem (QAP) is an important discrete optimization instance that encompasses many well-known combinatorial optimization problems, and has applications in a wide range of areas such as logistics and computer vision. The QAP,
Externí odkaz:
http://arxiv.org/abs/2409.08802
Autor:
Iwahara, Naoya, Soh, Jian-Rui, Hirai, Daigorou, Živković, Ivica, Wei, Yuan, Zhang, Wenliang, Galdino, Carlos, Yu, Tianlun, Ishii, Kenji, Pisani, Federico, Malanyuk, Oleg, Schmitt, Thorsten, Rønnow, Henrik M
Quantum entanglement between the spin, orbital and lattice degrees of freedom in condensed matter systems can emerge due to an interplay between spin-orbit and vibronic interactions. Heavy transition metal ions decorated on a face-centered cubic latt
Externí odkaz:
http://arxiv.org/abs/2409.08095