惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

U
Unit 42
V
V2EX
Martin Fowler
Martin Fowler
博客园 - Franky
P
Proofpoint News Feed
P
Palo Alto Networks Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
B
Blog
The Register - Security
The Register - Security
Latest news
Latest news
S
Security @ Cisco Blogs
Simon Willison's Weblog
Simon Willison's Weblog
Recorded Future
Recorded Future
大猫的无限游戏
大猫的无限游戏
M
Microsoft Research Blog - Microsoft Research
Scott Helme
Scott Helme
T
Tailwind CSS Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Application and Cybersecurity Blog
Application and Cybersecurity Blog
T
True Tiger Recordings
有赞技术团队
有赞技术团队
I
Intezer
Cisco Talos Blog
Cisco Talos Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
The GitHub Blog
The GitHub Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Tenable Blog
博客园 - 叶小钗
Hugging Face - Blog
Hugging Face - Blog
Hacker News: Ask HN
Hacker News: Ask HN
S
Security Archives - TechRepublic
F
Future of Privacy Forum
爱范儿
爱范儿
PCI Perspectives
PCI Perspectives
H
Help Net Security
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
T
The Blog of Author Tim Ferriss
MyScale Blog
MyScale Blog
N
Netflix TechBlog - Medium
罗磊的独立博客
Apple Machine Learning Research
Apple Machine Learning Research
MongoDB | Blog
MongoDB | Blog
Security Latest
Security Latest
美团技术团队
博客园 - 三生石上(FineUI控件)
S
Schneier on Security
量子位
C
CERT Recently Published Vulnerability Notes
SecWiki News
SecWiki News

cs.AI updates on arXiv.org

MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs ECPO: Evidence-Coupled Policy Optimization for Evidence-Certified Candidate Ranking Who Uses AI? Platforms, Workforce, and AI Exposure Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support Investigating Concept Alignment Using Implausible Category Members FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning AOP-Wiki EMOD 3.0: Data Model Expansions and Content Evaluation Framework for Using Agentic AI to Improve Integration between AOPs and New Approach Methodologies (NAMs) Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents The Shape of Testimony: A Scalable Framework for Oral History Archive Comparison Implicit Safety Alignment from Crowd Preferences AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence Latent-space Attacks for Refusal Evasion in Language Models SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks? Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization A Causal Argumentation Method for Explainability of Machine Learning Models Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding Echo: Learning from Experience Data via User-Driven Refinement Planning in the LLM Era: Building for Reliability and Efficiency The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure? Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling PACD-Net: Pseudo-Augmented Contrastive Distillation for Glycemic Control Estimation from SMBG Nonlocal operator learning for fMRI encoding and decoding tasks Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback Axiomatizing Neural Networks via Pursuit of Subspaces The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA Mahjax: A GPU-Accelerated Mahjong Simulator for Reinforcement Learning in JAX Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, recoverable deadzone, and an irreducible floor Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models Runtime-Certified Bounded-Error Quantized Attention Winfree Oscillatory Neural Network Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment DASH: Fast Differentiable Architecture Search for Hybrid Attention in Minutes on a Single GPU SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Variance Reduction for Expectations with Diffusion Teachers \textit{Stochastic} MeanFlow Policies: One-Step Generative Control with Entropic Mirror Descent On the Regularity and Generalization of One-Step Wasserstein-guided Generative Models for PDE-Induced Measures Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning Data-Efficient Neural Operator Training via Physics-Based Active Learning Mechanisms of Misgeneralization in Physical Sequence Modeling Code Generation by Differential Test Time Scaling Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards A Sharper Picture of Generalization in Transformers NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics Divide et Calibra: Multiclass Local Calibration via Vector Quantization Latent Process Generator Matching Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines Training Language Agents to Learn from Experience Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning STELLAR: Scaling 3D Perception Large Models for Autonomous Driving CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation Multi-agent Collaboration with State Management \ECUAS{n}: A family of metrics for principled evaluation of uncertainty-augmented systems From Circuit Evidence to Mechanistic Theory: An Inductive Logic Approach Behavior-Consistent Deep Reinforcement Learning torchtune: PyTorch native post-training library TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization How Much Online RL is Enough? Informative Rollouts for Offline Preference Optimization in RLVR Data Scaling as Progressive Coverage of a Predictive Contribution Spectrum SDM: A Powerful Tool for Evaluating Model Robustness Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification Approximation Theory for Neural Networks: Old and New ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining Closed-form predictive coding via hierarchical Gaussian filters LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale AgentAtlas: Beyond Outcome Leaderboards for LLM Agents DEL: Digit Entropy Loss for Numerical Learning of Large Language Models AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning HiRes: Inspectable Precedent Memory for Reaction Condition Recommendation
Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables
Jingxuan Qi, · 2026-05-23 · via cs.AI updates on arXiv.org

View PDF HTML (experimental)

Abstract:An extraction schema should not reduce knowledge graph fidelity. On statistical CSV, however, it can. We study country-by-year time-series matrices, a common layout on open-data portals. In this setting, serialization format and schema constraints interact super-additively. Their joint effect exceeds the sum of independent effects by up to +1.180 (2x2 factorial, 6 datasets). Bootstrap 95% CIs are strictly positive on 4/6 datasets, with strongest evidence on wide Type-II matrices. More critically, a schema applied to a mismatched format can trigger catastrophic mismatch. Fact coverage falls below the unconstrained baseline on 4/6 datasets through entity inflation or extraction refusal. We call this observed pattern format-constraint coupling. Probing and token ablation support a surface-form anchoring explanation centred on column-name references. Controlled variants across format-schema pairings, GraphRAG hosts, and LLM families show the same direction within the measured scope; one LLM family shows only partial activation. The observation also has a diagnostic consequence. Three standard retrieval modes largely mask construction quality (delta <= 1pp), whereas direct graph access exposes gaps up to +47.6pp (p < 0.0001). To support fidelity-aware evaluation, we release CSVFidelity-Bench. It contains 15 datasets, 11 Type-II matrices, 4 Type-III tables, and 1,892 Gold Standard facts across 6 domains.
Comments: 8 pages main body, 18 pages appendices. Submitted to EMNLP 2026 via ACL Rolling Review (ARR). Corresponding author: Yuxiang Feng (yxfeng@scut.this http URL). Code and data available at this https URL
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2605.21974 [cs.AI]
  (or arXiv:2605.21974v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2605.21974

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Jingxuan Qi [view email]
[v1] Thu, 21 May 2026 04:08:42 UTC (8,515 KB)