· ai
[Paper] Learning to Solve PDEs on Neural Shape Representations
Solving partial differential equations (PDEs) on shapes underpins many shape analysis and engineering tasks; yet, prevailing PDE solvers operate on polygonal/tr...
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- · ai
[Paper] AndroidLens: Long-latency Evaluation with Nested Sub-targets for Android GUI Agents
Graphical user interface (GUI) agents can substantially improve productivity by automating frequently executed long-latency tasks on mobile devices. However, ex...
- · ai
[Paper] Transcriptome-Conditioned Personalized De Novo Drug Generation for AML Using Metaheuristic Assembly and Target-Driven Filtering
Acute Myeloid Leukemia (AML) remains a clinical challenge due to its extreme molecular heterogeneity and high relapse rates. While precision medicine has introd...
- · ai
[Paper] Model Merging via Multi-Teacher Knowledge Distillation
Model merging has emerged as a lightweight alternative to joint multi-task learning (MTL), yet the generalization properties of merged models remain largely une...
- · ai
[Paper] Post-Processing Mask-Based Table Segmentation for Structural Coordinate Extraction
Structured data extraction from tables plays a crucial role in document image analysis for scanned documents and digital archives. Although many methods have be...
- · ai
[Paper] Surgical Scene Segmentation using a Spike-Driven Video Transformer with Real-Time Potential
Modern surgical systems increasingly rely on intelligent scene understanding to provide timely situational awareness for enhanced intra-operative safety. Within...
- · ai
[Paper] SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
The user of Engineering Manuals (EM) finds it difficult to read EM s because they are long, have a dense format which includes written documents, step by step p...
- · ai
[Paper] GriDiT: Factorized Grid-Based Diffusion for Efficient Long Image Sequence Generation
Modern deep learning methods typically treat image sequences as large tensors of sequentially stacked frames. However, is this straightforward representation id...
- · ai
[Paper] ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling
Industrial recommender systems face two fundamental limitations under the log-driven paradigm: (1) knowledge poverty in ID-based item representations that cause...
- · ai
[Paper] Learning Factors in AI-Augmented Education: A Comparative Study of Middle and High School Students
The increasing integration of AI tools in education has led prior research to explore their impact on learning processes. Nevertheless, most existing studies fo...
- · ai
[Paper] LookPlanGraph: Embodied Instruction Following Method with VLM Graph Augmentation
Methods that use Large Language Models (LLM) as planners for embodied instruction following tasks have become widespread. To successfully complete tasks, the LL...
- · ai
[Paper] Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
In hard-label black-box adversarial attacks, where only the top-1 predicted label is accessible, the prohibitive query complexity poses a major obstacle to prac...