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Search: “benchmark”

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Applications

Quantum Geometry of Data

DGX agent

arXiv:2507.21135v2 Announce Type: replace Abstract: We demonstrate how Quantum Cognition Machine Learning (QCML) encodes data as quantum geometry. In QCML, features of the data are represented by lear

applicationsarxiv-cs-lg

30 Sept 2026

Safety

Question-Specific Knowledge Graphs for Efficient Visual Reasoning

DGX agent

arXiv:2609.35942v1 Announce Type: new Abstract: Recent work in visual question answering has shown that vision-language models can exhibit strong reasoning capabilities by translating visual inputs in

Search: “benchmark”

Quantum Geometry of Data

Question-Specific Knowledge Graphs for Efficient Visual Reasoning

Qwen3.8 flash next ISTA-DASLab GGUF 50t/s TG and 1500t/s PP with 12GB VRAM and 64GB RAM Laptop on 'Strata' engine

RankBuffer: Efficient Ranking-Based Rewards for Open-Ended Generation

RareDx: Controlled Knowledge Integration and Graph-Grounded Policy Optimization for Rare-Disease Diagnosis

RAWR: Reward Assignment Without Rollouts in Verifiable Domains

RawVLA: Embodied Neural Image Signal Processor For Robotic Manipulation

ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning

ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache Routing

RED: Reconstruction Evolution Dynamics for Generalizable AI-Generated Image Detection

Relevance Is Not Sufficient Evidence: Detecting Evidence Gaps Before Generation in RAG

Reliable Parallel Decoding in Masked Diffusion Language Models

Render Before Reading: Visual Rendering as a Prompt Injection Defense

Replay the Curvature: Accurate and Scalable NVFP4 Quantization for Large Language Model Inference

Reprogramming Vision-Language Models via Structured Prompt Reparameterization

Rethinking Multimodal Fake News Detection in the Generative AI Era

Rethinking Reasoning Paths as Phase-Structured Trajectories

Rethinking Soft Tokens for Parallel Decoding in Diffusion Language Models

Retrieval-Augmented Skill Optimization via Cross-Harness Adaptation

REVO: Rollout-Efficient Off-Policy Distillation via Variance-Guided Reuse

Risk-Aware Semantic Grounding for Trustworthy LLM-Based Robot Planning

RNA Design via Conditioned Flow Matching and Finite-Policy Reinforcement Learning

ROSS: Relearning from Self-Generated Rollouts through Selective Supervision

Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing

Safe-by-Design Learning via Energy-based Neural Networks

SafeVantage: Vantage-Aware Memory for Reliable Embodied Decisions

SAGE: A Statistical Acceptance Gate for Self-Evolving Agents

SAKI: Maximal-Coupling-Routed Teacher Supervision for On-Policy Distillation

SAM Meets VLM: Parameter-Decoupled Full-Parameter Training for Unified Medical Reasoning and Segmentation

Same Bytes, Different Authority: Reserved-Token Representations in Chat-Template Prompt Injection

SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents

ScaGNN: a Graph Neural Network for Multiple Scattering Simulations

Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification

Scaling Full Conformal Image Classifiers

Scaling Video Generation for Reasoning: At What Cost?

SCOUT: Synergizing Reasoning and Tool-Use for Computer-Use Safety

Scouting the Dynamics Gap: Test-Time Policy Adaptation via Action-Outcome Feedback

SEED: Self-Speculative Decoding via Implicit Encoder-Decoder

Seeing What Should Be Heard: Diagnosing and Repairing Cross-Modal Shortcuts in Omni-Modal LLMs

Seek Before You Move: Evidence Seeking for Progress Grounding in Vision-Language Navigation

Selecting What Matters: Semantic Compression-Guided Selective Pooling for Long-Context Embeddings

Self-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?

SelfSearch: Reward-Free Search for Self-Improving Agents

Semantic Map Sharing and Capability-Aware Coverage Planning for AI-Native 6G Robotic Coordination

Semantic Projection for Continual Self-Evolution of Language Agents

SemOPT: Fixing Semantic Errors in LLM-based Optimization Modeling via Reward-Guided Search

Serverless gossip training of LSTM failure detectors: A matched-protocol comparison with federated, local and centralized learning on NASA C-MAPSS

SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging