How Many Different Outputs Can a Transformer Generate? - 惯性聚合

推荐订阅源

博客园 - Franky

Proofpoint News Feed

Palo Alto Networks Blog

Hackread – Cybersecurity News, Data Breaches, AI and More

The Register - Security

Security @ Cisco Blogs

Simon Willison's Weblog

Recorded Future

大猫的无限游戏

Microsoft Research Blog - Microsoft Research

Tailwind CSS Blog

cs.CV updates on arXiv.org

Cyber Security Advisories - MS-ISAC

Application and Cybersecurity Blog

True Tiger Recordings

有赞技术团队

Cisco Talos Blog

Hacker News - Newest: "LLM"

The GitHub Blog

cs.AI updates on arXiv.org

博客园 - 叶小钗

Hugging Face - Blog

Hacker News: Ask HN

Security Archives - TechRepublic

Future of Privacy Forum

PCI Perspectives

Help Net Security

让小产品的独立变现更简单 - ezindie.com

The Blog of Author Tim Ferriss

Netflix TechBlog - Medium

罗磊的独立博客

Apple Machine Learning Research

Security Latest

美团技术团队

博客园 - 三生石上(FineUI控件)

Schneier on Security

CERT Recently Published Vulnerability Notes

cs.LG updates on arXiv.org

Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models Noise Schedule Design for Diffusion Models: An Optimal Control Perspective Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs Models Can Model, But Can't Bind: Structured Grounding in Text-to-Optimization When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents AgForce Enables Antigen-conditioned Generative Antibody Design Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift CausalGuard: Conformal Inference under Graph Uncertainty How Sparsity Allocation Shapes Label-Free Post-Pruning Recoverability CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes PeakFocus: Bridging Peak Localization and Intensity Regression via a Unified Multi-Scale Framework for Electricity Load Forecasting Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation Quantitative coronary calcification analysis for prediction of myocardial ischemia using non-contrast CT calcium scoring DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model IKNO: Infinite-order Kernel Neural Operators Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation When to Switch, Not Just What: Transition Quality Prediction in Clash Royale Symbolic Density Estimation for Discrete Distributions The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation Toward Understanding Adversarial Distillation: Why Robust Teachers Fail Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines One-Way Policy Optimization for Self-Evolving LLMs TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series Dynamic Mixture of Latent Memories for Self-Evolving Agents Holomorphic Neural ODEs with Kolmogorov-Arnold Networks for Interpretable Discovery of Complex Dynamics Harnesses for Inference-Time Alignment over Execution Trajectories From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal $k$-Sparse GLMs Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations Predicting Performance of Symbolic and Prompt Programs with Examples Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study $\textit{BlockFormer}$ : Transformer-based inference from interaction maps Manifold-Guided Attention Steering I-SAFE: Wasserstein Coherence Metrics for Structural Auditing of Scientific AI Models Machine learning prediction of obstructive coronary artery disease using opportunistic coronary calcium and epicardial fat assessments from CT calcium scoring scans ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization Three Costs of Amortizing Gaussian Process Inference with Neural Processes No Epoch Like the Present: Robust Climate Emulation Requires Out-of-Distribution Generalisation Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability Aerodynamic force reconstruction using physics-informed Gaussian processes Can Transformers Learn to Verify During Backtracking Search? An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning Reinforced Graph of Thoughts: RL-Driven Adaptive Prompting for LLMs Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning Double descent for least-squares interpolation on contaminated data: A simulation study ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Temporal Contrastive Transformer for Financial Crime Detection: Self-Supervised Sequence Embeddings via Predictive Contrastive Coding Representation Gap: Explaining the Unreasonable Effectiveness of Neural Networks from a Geometric Perspective AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems Tabular foundation models for robust calibration of near-infrared chemical sensing data Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising Bandit Convex Optimization with Gradient Prediction Adaptivity Beyond Euclidean Proximity: Repairing Latent World Models with Horizon-Matched Trajectory Reachability Metrics Provable Joint Decontamination for Benchmarking Multiple Large Language Models Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations Ex-GraphRAG: Interpretable Evidence Routing for Graph-Augmented LLMs Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation HealthCraft: A Reinforcement Learning Safety Environment for Emergency Medicine Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RL Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have) X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation EntmaxKV: Support-Aware Decoding for Entmax Attention From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction Value-Gradient Hypothesis of RL for LLMs From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins Hierarchical Variational Policies for Reward-Guided Diffusion Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention PACD-Net: Pseudo-Augmented Contrastive Distillation for Glycemic Control Estimation from SMBG The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure? The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers

How Many Different Outputs Can a Transformer Generate?

Maxime Meyer · 2026-05-23 · via cs.LG updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。