AI News

Look, Reason, Draw a Region: Recursive Refinement for Spatial Context Prediction (arxiv.org)

How the elastic axis folds the transonic flutter boundary: shock energy transfer and conformally calibrated active learning (arxiv.org)

Learning angles for quantum approximate optimization (arxiv.org)

The Optimal Ranking Tradeoffs Between Two Ranking Scores in Two-Class Classification (arxiv.org)

Distributed Performance Boosting through Neural Control for Plug-and-Play Networks (arxiv.org)

NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Models (arxiv.org)

Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD (arxiv.org)

Think More or Read More? A Token-Budget Theory of Reasoning with Shared Context (arxiv.org)

Proportionality in Ranking Compression (arxiv.org)

DIFFLET: A Fast Inference Engine for Diffusion Transformer Models on AWS Trainium (arxiv.org)

Controlling the Diversity-Quality Trade-Off of LLMs by Merging Models Before and After Alignment (arxiv.org)

How Murky Before a VLM Knows It Cannot See? Accuracy, Confidence and Abstention on a Physical Visibility Axis (arxiv.org)

What Shapes Brain Alignment of Large Language Models during Dialogue? Insights from Language Production and Comprehension (arxiv.org)

COMET: Decoupled Distillation, Routing, and Capacity Control for Task-Agnostic Continual Vision--Language Learning (arxiv.org)

Beyond Uncertainty Reduction: Calibrated Planning for Interactive Diagnosis (arxiv.org)

CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising (arxiv.org)

Where's the Indirect Evidence? Investigating Grammatical Generalization with Influence Functions (arxiv.org)

FederatedBytes: Tokenizer-Free, Byte-Level Small Language Models for Efficient Multimodal Federated Learning (arxiv.org)

Competence-Based Evaluation of Logical Reasoning in Large Language Models (arxiv.org)

HAPACT: A Benchmark For Human-Centric Physical Impact Localization in Movies (arxiv.org)

Cooperation Without Adaptation: LLM Agents in a Collective-Risk Dilemma (arxiv.org)

Uncertainty-Aware Budget Allocation for Efficient LLM Tree Search (arxiv.org)

Sample-Efficient Reinforcement Learning for Policy Improvement via Flow-Reversed Action Anchors (arxiv.org)

Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them (arxiv.org)

Causal Edit Serialization (arxiv.org)

Replay Pruning and Few-Bit Integer Inference for Hardware-Efficient Speed-Sign Recognition (arxiv.org)

Reasoning Reranking with Semantic IDs as the Sole Item Representation (arxiv.org)

Anytime Contracts for AI Services (arxiv.org)

Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning (arxiv.org)

Structural Affinity: An Algorithm for Coherent Cage-Based Shape Design (arxiv.org)

Safety Alignment via Constrained Knowledge Unlearning (arxiv.org)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment (arxiv.org)

A Gradient-Optimized TSK Fuzzy Framework for Explainable Phishing Detection (arxiv.org)

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices (arxiv.org)

Rethinking Negative Prompting for Concept Suppression: Unconditional Anchoring and Localized Guidance (arxiv.org)

Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems (arxiv.org)

Nearly Linear Private Learning of Littlestone Classes (arxiv.org)

Grounded Credit Assignment in Reinforcement Learning for Multi-Turn Search Agents (arxiv.org)

Local proxies for memory-efficient training (arxiv.org)

MetaCurate: Evolving Curation Filters for High-Quality Agentic Coding Data (arxiv.org)

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding (arxiv.org)

Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators (arxiv.org)

VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain (arxiv.org)

Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems (arxiv.org)

Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck (arxiv.org)

LED: Improving Masked Diffusion Language Models by Lookahead Editing (arxiv.org)

Domain-specific language alignment of multimodal embeddings towards explainable predictions (arxiv.org)

Towards a GraphNARX model for structural dynamics (arxiv.org)

Where Latents Belong and How They Flow: Joint Identification of Structural Roles (arxiv.org)

Path to Prior-Data Fitted Relational Models via Learned Latent Multi-table Representations (arxiv.org)