Academic

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Academic · 1 min

Multimodal Emotion Regression with Multi-Objective Optimization and VAD-Aware Audio Modeling for the 10th ABAW EMI …

arXiv:2603.13760v1 Announce Type: new Abstract: We participated in the 10th ABAW Challenge, focusing on the Emotional Mimicry Intensity (EMI) Estimation track on the Hume-Vidmimic2 dataset. …

Jiawen Huang, Chenxi Huang, Zhuofan Wen, Hailiang Yao, Shun Chen, Longjiang Yang, Cong Yu, Fengyu Zhang, Ran Liu, Bin Liu

27 views Mar 17

Academic · 1 min

QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models

arXiv:2603.13691v1 Announce Type: new Abstract: While Large Language Models (LLMs) excel on standardized medical exams, high scores often fail to translate to high-quality responses for …

Yao Wu, Kangping Yin, Liang Dong, Zhenxin Ma, Shuting Xu, Xuehai Wang, Yuxuan Jiang, Tingting Yu, Yunqing Hong, Jiayi Liu, Rianzhe Huang, Shuxin Zhao, Haiping Hu, Wen Shang, Jian Xu, Guanjun Jiang

14 views Mar 17

Academic · 1 min

ManiBench: A Benchmark for Testing Visual-Logic Drift and Syntactic Hallucinations in Manim Code Generation

arXiv:2603.13251v1 Announce Type: new Abstract: Traditional benchmarks like HumanEval and MBPP test logic and syntax effectively, but fail when code must produce dynamic, pedagogical visuals. …

Nabin Oli

2 views Mar 17

Academic · 1 min

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs

arXiv:2603.13636v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to assess moral or ethical statements, yet their judgments may reflect social and …

Gustavo L\'ucius Fernandes, Jeiverson C. V. M. Santos, Pedro O. S. Vaz-de-Melo

15 views Mar 17

Academic · 1 min

PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting

arXiv:2603.13818v1 Announce Type: new Abstract: Precipitation nowcasting is vital for flood warning, agricultural management, and emergency response, yet two bottlenecks persist: the prohibitive cost of …

Xinyu Xiao, Sen Lei, Eryun Liu, Shiming Xiang, Hao Li, Cheng Yuan, Yuan Qi, Qizhao Jin

7 views Mar 17

Academic · 1 min

Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities

arXiv:2603.13651v1 Announce Type: new Abstract: Bibliographic reference extraction and parsing are foundational for citation indexing, linking, and downstream scholarly knowledge-graph construction. However, most established evaluations …

Yurui Zhu, Giovanni Colavizza, Matteo Romanello

14 views Mar 17

Academic · 1 min

A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems

arXiv:2603.13237v1 Announce Type: new Abstract: High-frequency banking environments face a critical trade-off between low-latency fraud detection and the regulatory explainability demanded by GDPR. Traditional rule-based …

Nasim Abdirahman Ismail, Enis Karaarslan

30 views Mar 17

Academic · 1 min

Agent-Based User-Adaptive Filtering for Categorized Harassing Communication

arXiv:2603.13288v1 Announce Type: new Abstract: We propose an agent-based framework for personalized filtering of categorized harassing communication in online social networks. Unlike global moderation systems …

Zenefa Rahaman, Sandip Sen

5 views Mar 17

Academic · 1 min

Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting

arXiv:2603.13230v1 Announce Type: new Abstract: Slang interpretation has been a challenging downstream task for Large Language Models (LLMs) as the expressions are inherently embedded in …

Jinghan Cao, Qingyang Ren, Xiangyun Chen, Xinjin Li, Haoxiang Gao, Yu Zhao

5 views Mar 17

Academic · 1 min

Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting

arXiv:2603.13261v1 Announce Type: new Abstract: Electroencephalography (EEG) classification plays a key role in brain-computer interface (BCI) systems, yet it remains challenging due to the low …

Aryan Patodiya, Hubert Cecotti

14 views Mar 17

Academic · 1 min

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation

arXiv:2603.13683v1 Announce Type: new Abstract: Although debiased LLMs perform well on known bias patterns, they often fail to generalize to unfamiliar bias prompts, producing toxic …

Hanwen Shen, Ting Ying, Jiajie Lu, Shanshan Wang

9 views Mar 17

Academic · 1 min

Artificial intelligence-driven improvement of hospital logistics management resilience: a practical exploration based on H Hospital

arXiv:2603.13816v1 Announce Type: new Abstract: Hospital logistics management faces growing pressure from internal operations and external emergencies, with artificial intelligence (AI) holding untapped potential to …

Lu Huang, Dongjing Shan, Han Chen

15 views Mar 17

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Academic

Multimodal Emotion Regression with Multi-Objective Optimization and VAD-Aware Audio Modeling for the 10th ABAW EMI …

QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models

ManiBench: A Benchmark for Testing Visual-Logic Drift and Syntactic Hallucinations in Manim Code Generation

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs

PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting

Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities

A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems

Agent-Based User-Adaptive Filtering for Categorized Harassing Communication

Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting

Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation

Artificial intelligence-driven improvement of hospital logistics management resilience: a practical exploration based on H Hospital

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