SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

Kavli Affiliate: Yi Zhou | First 5 Authors: Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle | Summary: We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource and spoken across various continents. The data instances […]


Continue.. SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

Kavli Affiliate: Yi Zhou | First 5 Authors: Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle | Summary: We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource and are spoken across various continents. The data […]


Continue.. SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness

Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Luo, Yi Zhou, Tao Zhou, , | Summary: Incremental learning (IL) aims to overcome catastrophic forgetting of previous tasks while learning new ones. Existing IL methods make strong assumptions that the incoming task type will either only increases new classes or domains (i.e. Class IL, Domain […]


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The second-order intrinsic Wiedemann-Franz law

Kavli Affiliate: Gang Su | First 5 Authors: Ying-Fei Zhang, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: In recent years, the nonlinear anomalous thermal Hall effect has attracted substantial attention. In this paper, we carry out a theoretical exploration of the intrinsic anomalous thermal Hall and Nernst effect that is induced by the thermal […]


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Gyromagnetic Angular Momentum Interconversion in Neutron Stars

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroshi Funaki, Yuta Sekino, Hiroyuki Tajima, Shota Kisaka, Nobutoshi Yasutake | Summary: We propose a novel mechanism for angular momentum (AM) exchange between the crust and core of a neutron star (NS) via the gyromagnetic effect. Using extended hydrodynamics, we model the star by incorporating macroscopic AM […]


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Energy-Efficient Port Selection and Beamforming Design for Integrated Data and Energy Transfer Assisted by Fluid Antennas

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Yizhe Zhao, Halvin Yang, Guangming Liang, Jie Hu | Summary: Integrated data and energy transfer (IDET) is considered as a key enabler of 6G, as it can provide both wireless energy transfer (WET) and wireless data transfer (WDT) services towards low power devices. Thanks to […]


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FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziqi Ni, Ao Fu, Yi Zhou, , | Summary: Achieving high-fidelity lip-speech synchronization in audio-driven talking portrait synthesis remains challenging. While multi-stage pipelines or diffusion models yield high-quality results, they suffer from high computational costs. Some approaches perform well on specific individuals with low resources, yet still […]


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OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFD

Kavli Affiliate: Long Zhang | First 5 Authors: Yuxuan Chen, Long Zhang, Xu Zhu, Hua Zhou, Zhuyin Ren | Summary: Merging natural language interfaces with computational fluid dynamics (CFD) workflows presents transformative opportunities for both industry and research. In this study, we introduce OptMetaOpenFOAM – a novel framework that bridges MetaOpenFOAM with external analysis and […]


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Beyond Visibility Limits: A DRL-Based Navigation Strategy for Unexpected Obstacles

Kavli Affiliate: Biao Huang | First 5 Authors: Mingao Tan, Shanze Wang, Biao Huang, Zhibo Yang, Rongfei Chen | Summary: Distance-based reward mechanisms in deep reinforcement learning (DRL) navigation systems suffer from critical safety limitations in dynamic environments, frequently resulting in collisions when visibility is restricted. We propose DRL-NSUO, a novel navigation strategy for unexpected […]


Continue.. Beyond Visibility Limits: A DRL-Based Navigation Strategy for Unexpected Obstacles