Papers
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
Zui Chen, Tianqiao Liu, Tongqing et al.
Advancing Medical Image Segmentation with Self-Supervised Learning: A 3D Student-Teacher Approach for Cardiac and Neurological Imaging
Moona Mazher, Daniel C. Alexander, Abdul Qayyum et al.
Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages
Braveenan Sritharan, Uthayasanker Thayasivam
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Xianrui Li, Yufei Cui, Jun Li et al.
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training
Haicheng Wang, Chen Ju, Weixiong Lin et al.
Advancing Out-of-Distribution Detection via Local Neuroplasticity
Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi et al.
Advancing Oversight Reasoning across Languages for Audit Sycophantic Behaviour via X-Agent
Giulia Pucci, Leonardo Ranaldi
Advancing Persian LLM Evaluation
Sara Bourbour Hosseinbeigi, Behnam Rohani, Mostafa Masoudi et al.
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi KANG, Liyuan Wang, Xingxing Zhang et al.
Advancing Question Generation with Joint Narrative and Difficulty Control
Bernardo Leite, Henrique Lopes Cardoso
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective
Pengfei He, Zitao Li, Yue Xing et al.
Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test
Christina A. Bosch, Mary Cate Gustafson-Quiett, Samar Abu Hegly et al.
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
Anjie Qiao, Zhen Wang, Jiahua Rao et al.
Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris et al.
Advancing Sentiment Analysis in Tamil-English Code-Mixed Texts: Challenges and Transformer-Based Solutions
Mikhail Krasitskii, Olga Kolesnikova, Liliana Chanona Hernandez et al.
Advancing Sequential Numerical Prediction in Autoregressive Models
Xiang Fei, Jinghui Lu, Qi Sun et al.
Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss
Liang Zhang, Ziyao Lu, Fandong Meng et al.
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning
Yimeng Shan, Malu Zhang, Rui-jie Zhu et al.
Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision
Siyuan Xu, Haofei Song, Yingjiao Deng et al.
Advancing Subjectivity Detection in Bengali News Articles Using Transformer Models with POS-Aware Features
Md Minhazul Kabir, Kawsar Ahmed, Mohammad Ashfak Habib et al.
Advancing Subjectivity Detection in Bengali News Articles Using Transformer Models with POS-Aware Features
Md Minhazul Kabir, Kawsar Ahmed, Mohammad Ashfak Habib et al.
Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation
Yu Lei, Bingde Liu, Qingsong Xie et al.
Advancing Textual Prompt Learning with Anchored Attributes
Zheng Li, Yibing Song, Ming-Ming Cheng et al.
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language
Jesus Alvarez C, Daua Karajeanes, Ashley Prado et al.