AI News

ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing (arxiv.org)

Natural-Language Temporal Grounding in Hour-Long Videos is a Search Problem: A Benchmark and Empirical Decomposition (arxiv.org)

SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks (arxiv.org)

Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network (arxiv.org)

Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification (arxiv.org)

Integral Formulation of QENDy for Robust Nonlinear System Identification (arxiv.org)

Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance (arxiv.org)

Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks (arxiv.org)

When is Your LLM Steerable? (arxiv.org)

CCKS: Consensus-based Communication and Knowledge Sharing (arxiv.org)

Mathematical perspective on genetic algorithms with optimization guided operators (arxiv.org)

DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation (arxiv.org)

VIA-SD: Verification via Intra-Model Routing for Speculative Decoding (arxiv.org)

Teaching Diffusion to Speculate Left-to-Right (arxiv.org)

Urban Heat MiniCubes: An AI-Ready dataset for urban heat research (arxiv.org)

FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback (arxiv.org)

Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation (arxiv.org)

MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs (arxiv.org)

Towards a Bridge Layer Between Bibliographic and Formalized Mathematical Knowledge (arxiv.org)

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents (arxiv.org)

An Ethical eValuation Agent (EeVA): Results of a Proof-of-Concept Test on a Prototype Agentic-like Workflow to Assist Ethical Deliberations (arxiv.org)

Preregistration for Experiments with AI Agents (arxiv.org)

The Environmental Cost of LLMs in AIED: Reporting and Practices (arxiv.org)

From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health (arxiv.org)

FOCUS: DLLMs Know How to Tame Their Compute Bound (arxiv.org)

Robust Privacy: Inference-Stage Privacy through Certified Robustness (arxiv.org)

Robustness of Mixtures of Experts to Feature Noise (arxiv.org)

Analytic Bijections for Smooth and Interpretable Normalizing Flows (arxiv.org)

Learning Object Manipulation from Scratch via Contrastive Interaction (arxiv.org)

Every Act Has Its Price: Compressed Moral Composition in Frontier LLMs (arxiv.org)

T2MM: An LLM Supported Architecture For Inquiry-Based Modeling (arxiv.org)

BioDivergence: A Benchmark and Evaluation Framework for Hidden Contextual Contradictions in Biomedical Abstracts (arxiv.org)

What Limits Does Quantization Place on Dense Top-$k$ Retrieval? A Theoretical Study (arxiv.org)

Unifying Learning Dynamics and Generalization in Transformers Scaling Law (arxiv.org)

Improving Generalization and Data Efficiency with Diffusion in Offline Multi-agent RL (arxiv.org)

Towards Deep Learning Surrogate for the Forward Problem in Electrocardiology: A Scalable Alternative to Physics-Based Models (arxiv.org)

Semantic search for 100M+ galaxy images using AI-generated captions (arxiv.org)

Irresponsible AI: big tech's influence on AI research and associated impacts (arxiv.org)

Grounding Computer Use Agents on Human Demonstrations (arxiv.org)

FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI (arxiv.org)

Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning (arxiv.org)

Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems (arxiv.org)

Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more (arxiv.org)

APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection (arxiv.org)

Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction (arxiv.org)

Certifiable Safe RLHF: Semantic Grounding and Fixed Penalty Constraint Optimization for Safer LLM Alignment (arxiv.org)

Noise-Guided Transport for Imitation Learning (arxiv.org)

Geometric Metrics and LLMs: What They Measure and When They Work (arxiv.org)

Toward Preference-aligned Large Language Models via Residual-based Model Steering (arxiv.org)

Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings (arxiv.org)