AI News

An Explicit Counterexample to Stanley's Rankwise Lower-Bound Conjecture for Differential Posets (arxiv.org)

Perturbative-NeuSA: A Structured Spectral Framework for Time-Dependent PDEs (arxiv.org)

Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science (arxiv.org)

Disentangling Semantic Attention from Structural Bias in the Attention Manifold (arxiv.org)

ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour (arxiv.org)

Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls (arxiv.org)

CallBench: A Benchmark for Dual-Goal Coordination in Phone Call Assistants (arxiv.org)

Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models (arxiv.org)

PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving (arxiv.org)

Controlling Embedding Spaces with Text-Conditioned Transformations (arxiv.org)

DraftExpert: Expansion-Aware Self-Speculative Decoding for End-Device MoE Inference (arxiv.org)

Moral Hazard in Multi-Agent Language Models (arxiv.org)

What do Reward Models Memorize? (arxiv.org)

Do Language Models Converge to Themselves? Recursive Self-Refinement as Textual Relaxation (arxiv.org)

Stress-Testing EEG Foundation Models for Clinical Decoding: Dataset Identity and Targeted Negative Controls (arxiv.org)

Tag Questions and the Generational Reversal of Sycophancy Across 45 Language Models (arxiv.org)

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective (arxiv.org)

Music-Source-Separation-Training (MSST): A Unified Framework for Training and Evaluating Music Demixing Models (arxiv.org)

MINT-V2X: A Mobility-Integrated Network Trajectory Dataset for Predictive Resource Management (arxiv.org)

Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data (arxiv.org)

Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks (arxiv.org)

Amortized Bayesian Causal Discovery of Extended Factor Graphs (arxiv.org)

MemChain: Learning Interpretable Memory Traces for Memory-Augmented LLM Agents (arxiv.org)

AlloBench: Measuring Online Tool Allocation Capability in LLM Agents (arxiv.org)

MiSS: A Logic-Driven Explanation of Minimal Sufficient Coalitions for Point Cloud Classifiers (arxiv.org)

DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes (arxiv.org)

Learning to Access Computation: Accessibility Plasticity as a Principle of Adaptive Intelligence (arxiv.org)

Joint Flow Matching for Generator-Consistent Classification (arxiv.org)

Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment (arxiv.org)

The Entropic Bound for Transformers: Why Static Rank Fails and Attention-Native Rank Recovers (arxiv.org)

Learning Distributions from Multiple Data Providers (arxiv.org)

Bayesian Feature Extraction using Gaussian and Diffused-gamma Priors for High Dimensional Spatio-Temporal Data (arxiv.org)

Traceable LLM Reasoning for Fake-Order Fraud Detection (arxiv.org)

Revitalizing Public Urban Places through Cultural and Political Memory: A Technological Approach with LLMs and Augmented Reality (arxiv.org)

Fast approximate estimation of conditional Shapley values when using a linear explainer (arxiv.org)

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ (arxiv.org)

Recovery of latent inner products from an anisotropic Gaussian random geometric graph (arxiv.org)

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases (arxiv.org)

Soft-Constrained Optimization of Latent Space in Variational Autoencoders (arxiv.org)

Hierarchical Grading in Large Language Models (arxiv.org)

Topological Data Analysis and Graph-Theoretic Approaches for Tennis Match Prediction (arxiv.org)

How Well Can AI Generate Backlogs from App Mockups? (arxiv.org)

Anytime-Valid Confirmation of Covariate Balance for Prespecified Corrections (arxiv.org)

Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set (arxiv.org)

On the Order-Conditional Optimality of Gaffke's Bound (arxiv.org)

Finite-Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes (arxiv.org)

KAYROS: An Anytime and Exact Open-Source Solver for Duration-Minimization Time-Dependent Vehicle Routing. A Technical Report and a Case Study in Human-AI Engineering (arxiv.org)

Identification and Learning of Semantic Observation Kernels: Partial Observation, Uniform Recovery, & Minimax Limits (arxiv.org)

Mirror Langevin diffusions: Convergence rates and Markov chain approximations (arxiv.org)

Efficient Learning of Truncated Boolean Product Distributions: Influence to the Rescue (arxiv.org)