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, […]


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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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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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Enabling High-Bandwidth Coherent Modulation Through Scalable Lithium Niobate Resonant Devices

Kavli Affiliate: John E. Bowers | First 5 Authors: Sadra Rahimi Kari, Paolo Pintus, John E. Bowers, Matt Robbins, Nathan Youngblood | Summary: We present a compact, resonant-based coherent modulator on a thin-film lithium niobate (TFLN) platform, addressing the growing demand for high-speed, energy-efficient modulators in modern telecommunications. The design incorporates Mach-Zehnder Interferometers (MZIs) with […]


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Dissecting supergraviton six-point function with lightcone limits and chiral algebra

Kavli Affiliate: Xinan Zhou | First 5 Authors: Vasco Goncalves, Maria Nocchi, Xinan Zhou, , | Summary: We develop a bootstrap strategy to obtain the six-point function of supergravitons in $AdS_5times S^5$ from symmetry constraints and consistency conditions. Compared to previous bootstrap algorithms, a novel feature is the use of lightcone OPEs together with the […]


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SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation

Kavli Affiliate: Long Zhang | First 5 Authors: Lei Huang, Hao Guo, Linzhi Peng, Long Zhang, Xiaoteng Wang | Summary: We introduce SessionRec, a novel next-session prediction paradigm (NSPP) for generative sequential recommendation, addressing the fundamental misalignment between conventional next-item prediction paradigm (NIPP) and real-world recommendation scenarios. Unlike NIPP’s item-level autoregressive generation that contradicts actual […]


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Graph-Theoretic Analysis of $n$-Replica Time Evolution in the Brownian Gaussian Unitary Ensemble

Kavli Affiliate: Cheng Peng | First 5 Authors: Tingfei Li, Cheng Peng, Jianghui Yu, , | Summary: In this paper, we investigate the $n$-replica time evolution operator $mathcal{U}_n(t)equiv e^{mathcal{L}_nt} $ for the Brownian Gaussian Unitary Ensemble (BGUE) using a graph-theoretic approach. We examine the moments of the generating operator $mathcal{L}_n$, which governs the Euclidean time […]


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Phase transition in a doubly holographic model of closed $mathbf{dS_{2} }$ spacetime

Kavli Affiliate: Cheng Peng | First 5 Authors: Wen-Hao Jiang, Cheng Peng, Yun-Song Piao, , | Summary: Double holography has been proved to be a powerful method in comprehending the spacetime entanglement. In this paper we investigate the doubly holographic construction in ${mathrm{dS_{2}} }$ spacetime. We find that in this model there exists a new […]


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Simulation as Reality? The Effectiveness of LLM-Generated Data in Open-ended Question Assessment

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Meng Zhang, Wei Lin Wang, Yu Luo, | Summary: The advancement of Artificial Intelligence (AI) has created opportunities for e-learning, particularly in automated assessment systems that reduce educators’ workload and provide timely feedback to students. However, developing effective AI-based assessment tools remains challenging due to […]


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Delta — Contrastive Decoding Mitigates Text Hallucinations in Large Language Models

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng Huang, Hao-Yuan Chen, , , | Summary: Large language models (LLMs) demonstrate strong capabilities in natural language processing but remain prone to hallucinations, generating factually incorrect or fabricated content. This issue undermines their reliability, particularly in high-stakes domains such as healthcare and legal advisory. To […]


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