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FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis
Researchers propose a graph-based RAG framework designed to improve semantic data analysis while adhering to FAIR data principles.
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CANDI: Contextual Alignment for Niche Domains Question Answering
The authors introduce a new benchmark, CANDI-QA, to assess the contextual grounding and domain-specific knowledge of LLMs in fields like finance and medicine.
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Do You Remember? Toward Memory-Centric Multimodal AI
Researchers propose a new architecture called DoYouRemember that enables multimodal large language models to utilize reconstructive memory rather than relying on one-shot processing.
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The Computational Basis of Confidence in Large Language Models
This study investigates the computational mechanisms underlying confidence signals in large language models to improve their reliability.
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Scale-Aware Attention for Scarce Neural Data: An RG-Flow Transformer on Sleep-EDF EEG
The authors introduce an RG-Flow Transformer that incorporates scale-aware inductive biases to improve neural data analysis in sleep EEG recordings.
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Graph-Constrained Policy Learning for Extreme Clinical Code Prediction
This research introduces a graph-constrained policy learning approach to improve the accuracy of clinical code prediction from discharge summaries.
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Self-Evolving In-Context Learning for Direct Pilot-to-Beamformer Design in MU-MISO Systems
A new in-context learning framework improves pilot-based beamforming in multi-user communication systems by adapting to various channel models without retraining.
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Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance
Researchers propose a diffusion-based method for learning adaptive meshes to optimize spatial and spectral resolution in neural partial differential equation surrogates.
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Removable Defects: The Economics and Limits of Deliberate Deficiency
Researchers propose a theoretical framework for intentionally maintaining model deficiencies as a design choice that can be bypassed when necessary.
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An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering
This paper provides an empirical analysis of continual learning techniques applied to medical visual question answering systems to prevent catastrophic forgetting.
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Representation and Reference Selection in Training-Free Synthetic Image Attribution
Researchers evaluate factors influencing the effectiveness of training-free methods for identifying the source generators of AI-created images.
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From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data
Researchers have developed a zero-setup framework to automate the multi-phase segmentation of X-ray tomography data, reducing the need for manual intervention.
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Second-Generation Doubao Phone Coming: Nubia and ByteDance AI Agent Smartphone Nears Launch at WAIC
Nubia and ByteDance are preparing to launch their second-generation smartphone integrated with the Doubao AI agent at the World Artificial Intelligence Conference.
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Global First Rocket Net Recovery: China Achieves Multiple Major Breakthroughs in One Week
China marked several technological milestones in a single week, including a rocket recovery test and the activation of a 100,000-card AI supercluster.
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苹果 Vision Pro 副总裁 Paul Meade 跳槽 OpenAI
Paul Meade, former vice president of Apple's Vision Pro hardware engineering, has left the company to join OpenAI's hardware division.
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我国实施零关税的国家已达63个
China has implemented zero-tariff policies for 63 countries as part of its ongoing trade modernization and opening-up efforts.
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广州：拟稳步有序推进现房销售制，推进房地产开发融资方式改革
Guangzhou is proposing policy changes to promote spot sales and reform financing mechanisms for real estate development.
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海关总署：将大力推行无感通关等模式，助力企业降本增效
The General Administration of Customs in China announced plans to streamline logistics and clearance processes to improve enterprise efficiency.
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前IBM金融掌门人范斌空降中关村科金，出任高级副总裁
Zhongguancun Kejin has appointed a former IBM executive to its senior leadership team to strengthen its financial sector operations and international expansion strategy.
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PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition
The PLGSA-Transformer model improves face recognition accuracy in scenarios involving facial occlusions by using landmark-guided attention and adaptive thresholding.
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尚界汽车否认脱离鸿蒙智行：品牌经营未发生任何变化
Stellar Auto has issued a formal denial regarding rumors that it is separating from the Huawei-backed Harmony Intelligent Mobility Alliance.
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UK altnet CityFibre could axe 200 jobs - report
UK-based telecommunications provider CityFibre is reportedly planning to reduce its workforce as part of a broader cost-optimization strategy.
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广州：拟优化“房票”安置政策，拓宽“房票”适用范围
Guangzhou plans to optimize housing voucher policies and repurpose commercial properties to reduce residential inventory.
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千分一创业板IPO终止审核
Shenzhen Qianfenyi Intelligent Technology has terminated its application for an initial public offering on the ChiNext board.