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Research

Forgetting is Everywhere

DGX agent

arXiv:2511.04666v4 Announce Type: replace Abstract: A fundamental challenge in developing general learning algorithms is their tendency to forget past knowledge as they adapt to new data. Addressing t

researcharxiv-cs-lg

28 Jul 2026

Research

Formalizing Flag Algebras in Lean

DGX agent

arXiv:2607.23500v1 Announce Type: cross Abstract: Razborov's flag algebra method is a powerful tool for proving asymptotic inequalities in extremal graph theory, often reducing the task to finding a f

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Forgetting is Everywhere

Formalizing Flag Algebras in Lean

Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting

Frequency-Aware Dual-Stream Learning for Balanced Realism and Fidelity in Electron Microscopy Imaging

Frequency-Based Reservoir computing

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety

From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps

From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference

From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis

From 'Help' to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications

From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How

From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps

From peer review nuances to best practices

From Physics to Surrogate Intelligence: A Unified Electro-Thermo-Optimization Framework for TSV Networks

From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

From transcription to semantic corpus analysis: unsupervised learning of sentence representations for ancient languages

From Vibe to Code -- and Back: Lexical Oscillation in the Formation of Design Intent with Generative AI

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias

FusionML: Prefill, Not Decode - Mechanism and Boundaries of CPU+GPU Co-Execution on Unified-Memory Apple Silicon

FutureRTC: Real-Time Robot Execution with Anticipatory-Conditioned Action Chunking

GaitFace: A Multimodal Dataset for Long-Range Person Identification

gamma-Bridge: A Look-Parametric Diffusion Bridge

Gaze-Anchored Social Net: Decoding Implicit Relations via Joint Modeling

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs

GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection

GEMCo: A Validated, Ethically Releasable Proxy for Inaccessible Counselling Data

Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories

Generative Artificial Intelligence (GenAI) to convert images of queuing networks into verifiable simulation models: an open-weight LLM workflow approach

Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement

Generative Video Compression with Adaptive Score Distillation

GenSplatCodec: Feed-Forward Gaussian Splatting Compression via One-Step Diffusion

Geometry Meets Semantics: Fractional Gradient Stabilization for Semantic-Driven Bounding Box Optimization in Visual Detection Tasks

GFLAN: Generative Functional Layouts

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs

Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

GNM Head: A Generative aNthropometric Model of the human head

GNN-based Multi-Agent Control of Traffic Shockwaves in Sparse Vehicular Ad-hoc Networks

Go ahead and ask yourself, really ask yourself, if all these confident predictors are wrong about jobs and not training radiologists anymore…

GOTS: Greedy Orthogonal Token Selection for High-Resolution Vision-Language Models

Gradient-Free Continual Learning

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines

Grading the Narrators: An Isnad-Rijal Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems

GRAPE: Graduated Routing for Articulated Portrait mesh Estimation

Greedy dynamical meta-learning