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Search: “framework”

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Research

CircuitSynth: Reliable Synthetic Data Generation

DGX agent

arXiv:2604.10114v1 Announce Type: cross Abstract: The generation of high-fidelity synthetic data is a cornerstone of modern machine learning, yet Large Language Models (LLMs) frequently suffer from ha

researcharxiv-cs-ai

14 Apr 2026

Research

Search: “framework”

CircuitSynth: Reliable Synthetic Data Generation

City-Wide Low-Altitude Urban Air Mobility: A Scalable Global Path Planning Approach via Risk-Aware Multi-Scale Cell Decomposition

Closed-Form Concept Erasure via Double Projections

CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

CoFusion: Multispectral and Hyperspectral Image Fusion via Spectral Coordinate Attention

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models

Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games

Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery Games

Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research

COMPOSITE-Stem

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification

ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors

ConfigSpec: Profiling-Based Configuration Selection for Distributed Edge--Cloud Speculative LLM Serving

Consensus-based Recursive Multi-Output Gaussian Process

Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration

Context-Guided Decompilation: A Step Towards Re-executability

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection

CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy

COREY: A Prototype Study of Entropy-Guided Operator Fusion with Hadamard Reparameterization for Selective State Space Models

Cost-optimal Sequential Testing via Doubly Robust Q-learning

CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance

COXNet: Cross-Layer Fusion with Adaptive Alignment and Scale Integration for RGBT Tiny Object Detection

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models

Cross-Cultural Value Awareness in Large Vision-Language Models

CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation

CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation

DA-PTQ: Drift-Aware Post-Training Quantization for Efficient Vision-Language-Action Models

Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark

Data-Driven Automated Identification of Optimal Feature-Representative Images in Infrared Thermography Using Statistical and Morphological Metrics

Data-Efficient Semantic Segmentation of 3D Point Clouds via Open-Vocabulary Image Segmentation-based Pseudo-Labeling

Dead Cognitions: A Census of Misattributed Insights

DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

Decoding Ancient Oracle Bone Script via Generative Dictionary Retrieval

Decoupled Generative Modeling for Human-Object Interaction Synthesis

DeCoVec: Building Decoding Space based Task Vector for Large Language Models via In-Context Learning

Demographic and Linguistic Bias Evaluation in Omnimodal Language Models

Design Experiments to Compare Multi-armed Bandit Algorithms

Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learning

Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails

Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia

Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation

Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression

Diffusion-Based Generative Priors for Efficient Beam Alignment in Directional Networks

Directional Mollification for Knot-Preserving C^{infty} Smoothing of Polygonal Chains with Explicit Curvature Bounds