AI News

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents (arxiv.org)

Piper: A Programmable Distributed Training System (arxiv.org)

Flaws in the LLM Automation Narrative (arxiv.org)

Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation (arxiv.org)

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA (arxiv.org)

FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model (arxiv.org)

PhantomBench: Benchmarking the Non-existential Threat of Language Models (arxiv.org)

RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning (arxiv.org)

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models (arxiv.org)

T1-Bench: Benchmarking Multi-Scenario Agents in Real-World Domains (arxiv.org)

Assessment of Personality Dimensions Across Situations in Dyadic Role-Play Scenarios (arxiv.org)

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks (arxiv.org)

A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design (arxiv.org)

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark (arxiv.org)

Attacks on Machine-Text Detectors Retain Stylistic Fingerprints (arxiv.org)

CleanPatrick: A Benchmark for Image Data Cleaning (arxiv.org)

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines (arxiv.org)

NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices (arxiv.org)

Whisper-GPT -- Continuous Discrete Hybrid Representation Language Models For Speech And Music (arxiv.org)

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification (arxiv.org)

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World (arxiv.org)

Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations (arxiv.org)

Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News (arxiv.org)

Routing-Aware Expert Calibration for Machine Unlearning in Mixture-of-Experts Language Models (arxiv.org)

Building Change Detection in Earthquake: A Multi-Scale Interaction Network and A Change Detection Dataset (arxiv.org)

Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images (arxiv.org)

Baseline-Free Policy Optimization for Neural Combinatorial Optimization (arxiv.org)

The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-Judge (arxiv.org)

LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks (arxiv.org)

Towards Robust Arabic Speech Emotion Recognition with Deep Learning (arxiv.org)

Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory (arxiv.org)

Business World Model (arxiv.org)

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding (arxiv.org)

Do LLMsMakeNeural Distinguishers Wise? (arxiv.org)

An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks (arxiv.org)

ClusBench: The Clustering Benchmark Data Resource You've All Been Waiting For (?) (arxiv.org)

Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice (arxiv.org)

A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems (arxiv.org)

The Role of Feedback Alignment in Self-Distillation (arxiv.org)

ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models (arxiv.org)

ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity (arxiv.org)

Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in Football (arxiv.org)

Generating Concept Lexicalizations via Dictionary-Based Cross-Lingual Sense Projection (arxiv.org)

Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations (arxiv.org)

Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation (arxiv.org)

Toward Proactive RF Charging Scheduling: Generative AI for Decision Support (arxiv.org)

Accelerating SAV-based optimization via randomized low-rank Hessian approximation (arxiv.org)

Few-step Generative Models as Lossy Compression (arxiv.org)

ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling (arxiv.org)

PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning (arxiv.org)