AI News

Online Fair Division with Budget Constraints (arxiv.org)

Decentralized Causal Discovery using Judo Calculus (arxiv.org)

Continuous surrogates versus threshold Boolean networks for modeling Arabidopsis ISR gene regulation (arxiv.org)

PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation (arxiv.org)

Multi-primitive in-memory computing for Monte Carlo tree search (arxiv.org)

Label-free Industrial Fault Detection via Adversarial Inverse Reinforcement Learning: A System for Run-to-Failure Prognostics (arxiv.org)

TEmBed-T: A Multi-Dimensional Benchmark for Table-Level Embeddings (arxiv.org)

Approximate reservoir computing with a semiconductor laser for reducing energy consumption (arxiv.org)

IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems (arxiv.org)

When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse Design (arxiv.org)

Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents (arxiv.org)

Towards Nexus-Score: Metadata Gaps Limit Scholarly AI Attribution (arxiv.org)

Data-Driven Diffusion Processes on Differential Forms via the Projected Ambient Connection Laplacian (arxiv.org)

IndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages (arxiv.org)

SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads (arxiv.org)

FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities (arxiv.org)

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs (arxiv.org)

Intent-Governed Tool Authorization for AI Agents (arxiv.org)

Photonic reservoir computing with complex networks (arxiv.org)

Statistically Supported LLM Ingredient and Recipe Data Collection in Computational Nutrition (arxiv.org)

AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool Use (arxiv.org)

Greedy dynamical meta-learning (arxiv.org)

DECAF: De-Clustering for Adaptive Representational Unlearning (arxiv.org)

WorldDiT: A Unified Diffusion Architecture for World and Action Modeling (arxiv.org)

K-Survival Means (arxiv.org)

ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection At Scale (arxiv.org)

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

Language-Routed RAG and Direct Option Scoring for Multilingual Financial QA: DS@GT at FinMMEval (arxiv.org)

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification (arxiv.org)

EEGForceFusion: Joint Tokenised-Continuous Representation Learning for Subject-Independent Grasp Force Decoding (arxiv.org)

Agentic Autoresearch for CT Reconstruction (arxiv.org)

Adaptive Data Admission and Retention for Streaming Federated Learning (arxiv.org)

Learning Sampling Parameters for Diffusion Models (arxiv.org)

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning (arxiv.org)

Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem (arxiv.org)

Hybrid Semantic and Spectral Ensemble for Robust Synthetic Image Source Attribution (arxiv.org)

Cheap Probes Predict Expensive Training in 3D-CT Vision--Language Models (arxiv.org)

DynaCalKV: Key-Value Cache Compression via Head Grouping and Adaptive Rank Allocation (arxiv.org)

MegaSlide-DiT: Memory-Centric Adaptation and Deformable Local Attention for Efficient Video Diffusion (arxiv.org)

An empirical investigation into the properties of standard word embeddings (arxiv.org)

Does Graph Compression Preserve Signal Propagation? (arxiv.org)

XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space (arxiv.org)

Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data (arxiv.org)

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning (arxiv.org)

A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning (arxiv.org)

Multi-Modal Scene Graph with Kolmogorov-Arnold Experts for Audio-Visual Question Answering (arxiv.org)

Decentralized Granular Access Control for Agentic AI Systems in Critical Infrastructure (arxiv.org)

When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation (arxiv.org)

Evolving from Lessons: Skill-Augmented Table Graph Reasoning for Operation-wise Table Question Answering (arxiv.org)

Coordinated Networking for On-Device Agent-Augmented Real-Time Communication (arxiv.org)