BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

Kavli Affiliate: Yi Zhou | First 5 Authors: Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas | Summary: People worldwide use language in subtle and complex ways to express emotions. While emotion recognition — an umbrella term for several NLP tasks — significantly impacts different applications in NLP and other fields, […]


Continue.. BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics

Kavli Affiliate: Zheng Zhu | First 5 Authors: Shuqi Yang, Mingrui Jing, Shuai Wang, Jiaxin Kou, Manfei Shi | Summary: This study reviewed the use of Large Language Models (LLMs) in healthcare, focusing on their training corpora, customization techniques, and evaluation metrics. A systematic search of studies from 2021 to 2024 identified 61 articles. Four […]


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CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra

Kavli Affiliate: Hu Zhan | First 5 Authors: Jipeng Sui, Hu Zou, Xiaohu Yang, Xianzhong Zheng, Run Wen | Summary: The China Space Station Telescope (CSST) is a forthcoming space-based optical telescope designed to co-orbit with the Chinese Space Station. With a planned slitless spectroscopic survey spanning a broad wavelength range of $255-1000$nm and an […]


Continue.. CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra

Active Solids: Defect Self-Propulsion Without Flow

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Fridtjof Brauns, Myles O’Leary, Arthur Hernandez, Mark J. Bowick, M. Cristina Marchetti | Summary: The self-propulsion of +1/2 topological defects is a hallmark of active nematic fluids, where the defects are advected by the flow field they themselves generate. In this paper we propose a minimal […]


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A vector-based strategy for olfactory navigation in Drosophila

Kavli Affiliate: Vanessa Ruta | Authors: Andrew F. Siliciano, Sun Minni, Chad Morton, Charles K. Dowell, Noelle B. Eghbali, Juliana Y. Rhee, L. F. Abbott and Vanessa Ruta | Summary: Odors serve as essential cues for navigation. Although tracking an odor plume has been modeled as a reflexive process, it remains unclear whether animals can […]


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Full inter-hemispheric integration sustained by a fraction of posterior callosal fibers

Kavli Affiliate: Michael Miller | Authors: Tyler Santander, Selin Bekir, Theresa Paul, Jessica M Simonson, Valerie M Wiemer, Henri Etel Skinner, Johanna L Hopf, Anna Rada, Friedrich G Woermann, Thilo Kalbhenn, Barry Giesbrecht, Christian G Bien, Olaf Sporns, Michael S Gazzaniga, Lukas J Volz and Michael B Miller | Summary: The dynamic integration of the […]


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A Catalog of Local Universe Fast Radio Bursts from CHIME/FRB and the KKO Outrigger

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Mandana Amiri, Daniel Amouyal, Bridget C. Andersen, Shion Andrew, Kevin Bandura | Summary: We present the first catalog of fast radio burst (FRB) host galaxies from CHIME/FRB Outriggers, selected uniformly in the radio and the optical by localizing 81 new bursts to 2” x ~60” accuracy […]


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Imaging current flow and injection in scalable graphene devices through NV-magnetometry

Kavli Affiliate: Toeno Van Der Sar | First 5 Authors: Kaj Dockx, Michele Buscema, Saravana Kumar, Tijmen van Ree, Abbas Mohtashami | Summary: The global electronic properties of solid-state devices are strongly affected by the microscopic spatial paths of charge carriers. Visualising these paths in novel devices produced by scalable processes would provide a quality […]


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Simplify RLHF as Reward-Weighted SFT: A Variational Method

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie | Summary: Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning Large Language Models (LLMs) with human values. However, RLHF has been continuously challenged by its high complexity in implementation and computation consumption. Even with recent […]


Continue.. Simplify RLHF as Reward-Weighted SFT: A Variational Method

Simplify RLHF as Reward-Weighted SFT: A Variational Method

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie | Summary: Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning Large Language Models (LLMs) with human values. However, RLHF has been continuously challenged by its high complexity in implementation and computation consumption. Even with recent […]


Continue.. Simplify RLHF as Reward-Weighted SFT: A Variational Method