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Research

Conjuring Semantic Similarity

DGX agent

arXiv:2410.16431v4 Announce Type: replace Abstract: The semantic similarity between sample expressions measures the distance between their latent 'meaning'. These meanings are themselves typically rep

researcharxiv-cs-ai

22 Apr 2026

Research

Construction of Knowledge Graph based on Language Model

DGX agent

arXiv:2604.19137v1 Announce Type: new Abstract: Knowledge Graph (KG) can effectively integrate valuable information from massive data, and thus has been rapidly developed and widely used in many field

All entries

Conjuring Semantic Similarity

Construction of Knowledge Graph based on Language Model

ContextLeak: Auditing Leakage in Private In-Context Learning Methods

ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification

Council Mode: Mitigating Hallucination and Bias in LLMs via Multi-Agent Consensus

CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering

Counting Worlds Branching Time Semantics for post-hoc Bias Mitigation in generative AI

CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers

Cross-lingual Matryoshka Representation Learning across Speech and Text

Cross-Model Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Across Three Large Language Models

CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization

CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks

Curiosity-Critic: Cumulative Prediction Error Improvement as a Tractable Intrinsic Reward for World Model Training

Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps

DADA: Dual Averaging with Distance Adaptation

DanceCrafter: Fine-Grained Text-Driven Controllable Dance Generation via Choreographic Syntax

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets

DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification

Debating the Unspoken: Role-Anchored Multi-Agent Reasoning for Half-Truth Detection

Debiased neural operators for estimating functionals

Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?

Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees

Decomposed Trust: Privacy, Adversarial Robustness, Ethics, and Fairness in Low-Rank LLMs

Deep Image Prior for photoacoustic tomography can mitigate limited-view artifacts

Deep sprite-based image models: An analysis

Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean

DeltaSeg: Tiered Attention and Deep Delta Learning for Multi-Class Structural Defect Segmentation

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation

Design Rules for Extreme-Edge Scientific Computing on AI Engines

Detecting Data Contamination in Large Language Models

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps

Detection of T-shirt Presentation Attacks in Face Recognition Systems

Detoxification for LLM: From Dataset Itself

Developing a Robotic Surgery Training System for Wide Accessibility and Research

Diagnosable ColBERT: Debugging Late-Interaction Retrieval Models Using a Learned Latent Space as Reference

Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps

Diff-SBSR: Learning Multimodal Feature-Enhanced Diffusion Models for Zero-Shot Sketch-Based 3D Shape Retrieval

Differentiable Satellite Constellation Configuration via Relaxed Coverage and Revisit Objectives

DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval

Discovering a Shared Logical Subspace: Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views

Discrete Tilt Matching

Disentangling Damage from Operational Variability: A Label-Free Self-Supervised Representation Learning Framework for Output-Only Structural Damage Identification

Disparities In Negation Understanding Across Languages In Vision-Language Models

Distillation Traps and Guards: A Calibration Knob for LLM Distillability

Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges