AI Agents

Auto agent - Self improving domain expertise agent

someone opensource an ai agent that autonomously upgraded itself to #1 across multiple domains in < 24 hours…. then open sourced the e...

Walmart CEO reportedly brags that company's in-app AI agent is making people spend 35% more money

we just hit 555 stars on our open source AI agent config tool and i'm honestly still in shock

so a while back me and a few folks started working on Caliber, an open source tool for managing AI agent configs and syncing them with yo...

[2602.19322] US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound

The paper presents US-JEPA, a novel self-supervised framework for medical ultrasound imaging that enhances representation learning by pre...

[2602.19320] Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations

This article presents a comprehensive analysis of agentic memory systems in large language models, highlighting their architectural frame...

[2602.19319] Health+: Empowering Individuals via Unifying Health Data

The paper presents Health+, a user-centric health data management system designed to empower individuals by unifying their fragmented hea...

[2602.18899] [b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic

This article explores how self-supervised speech models (S3Ms) encode phonological information, revealing linear relationships in their r...

[2602.19317] Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering

The paper presents PR2, a novel framework for personalized question answering that enhances multi-step reasoning by integrating user-spec...

[2602.19315] Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders

This article presents a novel approach to online navigation planning for underwater gliders, utilizing a stochastic shortest-path Markov ...

[2602.19313] TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

The paper introduces TOPReward, a novel method leveraging token probabilities from Vision-Language Models to enhance reinforcement learni...

[2602.19304] Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation

The paper presents CaPE, a multimodal path planning method that enhances cooperation among decentralized agents through language communic...

[2602.18813] Habilis-$β$: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model

Habilis-$β$ is a new on-device vision-language-action model that excels in fast-motion tasks, demonstrating superior performance in real-...

[2602.19248] No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection

The paper presents LAVIDA, a novel zero-shot video anomaly detection framework that utilizes a Multimodal Large Language Model to enhance...

[2602.18767] Nazrin: Atomic Tactics for Graph Neural Networks for Theorem Proving in Lean 4

The paper presents Nazrin, a graph neural network-based theorem proving agent that utilizes atomic tactics to enhance machine-assisted th...

[2602.19193] Visual Prompt Guided Unified Pushing Policy

The paper presents a novel unified pushing policy that utilizes visual prompts to enhance the efficiency and versatility of robotic pushi...

[2602.19171] HistCAD: Geometrically Constrained Parametric History-based CAD Dataset

The paper presents HistCAD, a comprehensive dataset for parametric CAD modeling that incorporates geometric constraints and functional se...

[2602.18663] Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)

This article presents a novel Hierarchical Modular Multi-Agent Reinforcement Learning (HM-MARL) framework aimed at enhancing autonomous n...

[2602.18690] Neural Fields as World Models

The paper explores how neural fields can serve as world models, preserving sensory topology for better prediction of physical outcomes, w...

[2602.19156] Artefact-Aware Fungal Detection in Dermatophytosis: A Real-Time Transformer-Based Approach for KOH Microscopy

This study presents a transformer-based framework for detecting fungal elements in dermatophytosis using KOH microscopy, achieving high a...

[2602.19114] Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection

The Kaiwu-PyTorch-Plugin (KPP) integrates Deep Learning with Photonic Quantum Computing, enhancing Energy-Based Models and Active Sample ...

[2602.19040] Adaptive Multi-Agent Reasoning for Text-to-Video Retrieval

The paper presents an adaptive multi-agent framework for improving text-to-video retrieval systems, addressing challenges in query-depend...

[2602.18482] Boltzmann Generators for Condensed Matter via Riemannian Flow Matching

This article presents a novel approach using Riemannian flow matching to enhance Boltzmann generators for sampling equilibrium distributi...

[2602.19022] An interpretable framework using foundation models for fish sex identification

The paper presents FishProtoNet, a non-invasive computer vision framework for accurately identifying the sex of delta smelt, an endangere...