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. Although emotion recognition–an umbrella term for several NLP tasks–impacts various applications within NLP and beyond, most work in this area has […]


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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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