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“All” 태그가 달린 논문 2,646편 · 필터 해제
Modeling Code: Is Text All You Need?
Code LLMs have become extremely popular recently for modeling source code across a variety of tasks, such as generation, translation, and summarization. However, transformer-based models are limited in their capabilities…
AllAll Eyes, no IMU: Learning Flight Attitude from Vision Alone
Vision is an essential part of attitude control for many flying animals, some of which have no dedicated sense of gravity. Flying robots, on the other hand, typically depend heavily on accelerometers and gyroscopes for a…
AllIs Diversity All You Need for Scalable Robotic Manipulation?
Data scaling has driven remarkable success in foundation models for Natural Language Processing (NLP) and Computer Vision (CV), yet the principles of effective data scaling in robotic manipulation remain insufficiently u…
AllDiversityDESIGN AND IMPLEMENTATION OF ONLINE CLEARANCE REPORT.
Online clearance system is a research work that will help build an effective information management for schools. It is aimed at developing a system for making clearance after graduation . The designed software will s…
AllManagementIs Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models
Reasoning Language Models (RLMs) have gained traction for their ability to perform complex, multi-step reasoning tasks through mechanisms such as Chain-of-Thought (CoT) prompting or fine-tuned reasoning traces. While the…
Adversarial RobustnessAllFairnessPrompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
Image segmentation plays a vital role in the medical field by isolating organs or regions of interest from surrounding areas. Traditionally, segmentation models are trained on a specific organ or a disease, limiting thei…
AllImage SegmentationSegmentationSemantic SegmentationState and Memory is All You Need for Robust and Reliable AI Agents
Large language models (LLMs) have enabled powerful advances in natural language understanding and generation. Yet their application to complex, real-world scientific workflows remain limited by challenges in memory, plan…
AllBenchmarkingDecision MakingNatural Language Understanding+1EAMamba: Efficient All-Around Vision State Space Model for Image Restoration
Image restoration is a key task in low-level computer vision that aims to reconstruct high-quality images from degraded inputs. The emergence of Vision Mamba, which draws inspiration from the advanced state space model M…
AllDeblurringDenoisingImage Restoration+2FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
Pre-training state-of-the-art large language models (LLMs) requires vast amounts of clean and diverse text data. While the open development of large high-quality English pre-training datasets has seen substantial recent …
AllAN INTERNSHIP REPORT ON E-HELPING HOUSING SOCIETY PROJECT REPORT
The basic concept of this society system, we create global web based application in asp.net with C# language to manage Society with House and Owner of house detail. We provide platform to register society to our system, …
AllManagementCan One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
We propose Guardian-FC, a novel two-layer framework for privacy preserving federated computing that unifies safety enforcement across diverse privacy preserving mechanisms, including cryptographic back-ends like fully ho…
AllPrivacy PreservingHigher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
We report a higher-order neuromorphic Ising machine that exhibits superior scalability compared to architectures based on quadratization, while also achieving state-of-the-art quality and reliability in solutions with co…
AllCombinatorial OptimizationThese are Not All the Features You are Looking For: A Fundamental Bottleneck In Supervised Pretraining
Transfer learning is a cornerstone of modern machine learning, promising a way to adapt models pretrained on a broad mix of data to new tasks with minimal new data. However, a significant challenge remains in ensuring th…
AllRepresentation LearningTransfer LearningVisual-Instructed Degradation Diffusion for All-in-One Image Restoration
Image restoration tasks like deblurring, denoising, and dehazing usually need distinct models for each degradation type, restricting their generalization in real-world scenarios with mixed or unknown degradations. In thi…
AllDeblurringDenoisingImage RestorationTransit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning
Ensuring equitable public transit access remains challenging, particularly in densely populated cities like New York City (NYC), where low-income and minority communities often face limited transit accessibility. Bike-sh…
AllRepresentation LearningAll is Not Lost: LLM Recovery without Checkpoints
Training LLMs on decentralized and wimpy computation nodes, e.g., multiple on-spot instances, lowers the training cost and enables model democratization. The inevitable challenge here is the churn of nodes due to failure…
AllSchedulingIs Selection All You Need in Differential Evolution?
Differential Evolution (DE) is a widely used evolutionary algorithm for black-box optimization problems. However, in modern DE implementations, a major challenge lies in the limited population diversity caused by the fix…
AllEquivariance Everywhere All At Once: A Recipe for Graph Foundation Models
Graph machine learning architectures are typically tailored to specific tasks on specific datasets, which hinders their broader applicability. This has led to a new quest in graph machine learning: how to build graph fou…
AllNode ClassificationNode Property PredictionProperty PredictionNo-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
We study online decision making problems under resource constraints, where both reward and cost functions are drawn from distributions that may change adversarially over time. We focus on two canonical settings: $(i)$ on…
AllSMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction
Single-view textured human reconstruction aims to reconstruct a clothed 3D digital human by inputting a monocular 2D image. Existing approaches include feed-forward methods, limited by scarce 3D human data, and diffusion…
3D Human Reconstruction3D ReconstructionAll