Search: “agents”

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning

arXiv:2501.09934v3 Announce Type: replace-cross Abstract: The rapid growth of AI-enabled Internet of Vehicles (IoV) calls for efficient Machine Learning (ML) solutions that can handle high vehicular m

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Agents

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture

DGX agent

arXiv:2605.27373v1 Announce Type: new Abstract: As intelligent systems become more autonomous, the scientific community focuses on creating decision-making mechanisms that include ethical and moral co

agentsarxiv-cs-ai

28 May 2026

if you're a VC and want a killer portfolio monitoring tool like ours, but won't want to build it yourself... check out http://cura.inc

if you're a VC and want a killer portfolio monitoring tool like ours, but won't want to build it yourself... check out http://cura.inc this is my sortable table of all portfolio companies with revenue

Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use

arXiv:2605.27788v1 Announce Type: cross Abstract: Humans know when to reach for help e.g. 347 imes 28 warrants a calculator while 2+2 does not. Language models do not. Prompt-based approaches can inst

agentsarxiv-cs-cl

Laguna M.1/XS.2 Technical Report

model-releasesarxiv-cs-ai

arXiv:2605.27605v1 Announce Type: new Abstract: We present Laguna M.1 and Laguna XS.2, two Mixture-of-Experts foundation models built for long-horizon, agentic coding: M.1 has 225.8B total parameters

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis

arXiv:2601.16800v3 Announce Type: replace Abstract: Fine-grained opinion analysis of text provides a detailed understanding of expressed sentiments, including the addressed entity. Although this level

agentsarxiv-cs-cl

Manboformer: Learning Gaussian Representations via Spatial-temporal Attention Mechanism

arXiv:2503.04863v2 Announce Type: replace-cross Abstract: Compared with voxel-based grid prediction, in the field of 3D semantic occupation prediction for autonomous driving, GaussianFormer proposed u

Nano Banana 2 and Nano Banana Pro are generally available, and already powering creative workflows

model-releasesgoogle-cloud-ai

Organizations are unlocking entirely new ways to use image generation and editing across their industries. To drive next-generation experiences, businesses are embedding AI directly into creative, age

other terms i’m learning: blackboard, DDD, CQRS, Akka, Kafka, BASE…

This post discusses various software architecture and distributed systems concepts including the Blackboard pattern, Domain-Driven Design (DDD), Command Query Responsibility Segregation (CQRS), and me

Personal Visual Memory from Explicit and Implicit Evidence

model-releasesarxiv-cs-cl

arXiv:2605.28806v1 Announce Type: cross Abstract: Long-term memory is increasingly important for personalized AI agents, yet existing benchmarks and methods remain largely text-centric. Even when imag

Riverbed accelerates enterprise adoption of autonomous IT operations

With artificial intelligence tools proliferating across the enterprise world, observability is a more critical sphere than ever before. Riverbed Technology LLC, which specializes in unified observabil

agentssiliconangle

Superintelligence will be built on Self Improvement. Today @hexoai, we’re excited to release ‘SIA’ - an open-source Self-Improving AI, to ac…

Superintelligence will be built on Self Improvement. Today @hexoai, we’re excited to release ‘SIA’ - an open-source Self-Improving AI, to achieve any goal through recursive self improvement. While try

two weeks ago i didn’t know what event sourcing was and now i see it everywhere

Event sourcing is an architectural pattern that stores application state changes as a sequence of immutable events rather than just persisting the current state, enabling a complete audit trail and ab

VEOcc: Voxel-Centric Online Semantic Occupancy Prediction For Embodied Scene Understanding

arXiv:2605.25059v2 Announce Type: replace Abstract: Crucial for autonomous exploration, online 3D occupancy prediction and mapping incrementally constructs dense spatial representations on the fly. Ho

agentsarxiv-cs-cv

Yohei is probably the most prominent VC builder there is Humbled and honored that he's moving over to @cura_inc for his portfolio!! (Also, i…

Yohei is probably the most prominent VC builder there is Humbled and honored that he's moving over to @cura_inc for his portfolio!! (Also, it's true he gives the best feedback out there) @adamtowerz b

ZipRL: Adaptive Multi-Turn Context Compression with Hindsight Response Replay

model-releasesarxiv-cs-ai

arXiv:2605.28069v1 Announce Type: new Abstract: Adaptive context compression is vital for scaling Large Language Models (LLMs) to complex, multi-turn agent tasks. However, rule-based compression metho

5/ Today, Devin is responsible for 89% of the PRs written at Cognition. Devin has dramatically accelerated our product roadmap, building and…

5/ Today, Devin is responsible for 89% of the PRs written at Cognition. Devin has dramatically accelerated our product roadmap, building and shipping new features like Devin Review, Auto-Triage, Manag

agentscognition-ai--x

6/ More details on our business and the rise of autonomous software engineering: https://cognition.ai/blog/series-d

Cognition AI announced details about their Series D funding round, focusing on developments in autonomous software engineering capabilities. The post likely discusses their business progress, product

agentscognition-ai--x

Safety

A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration

arXiv:2605.26174v1 Announce Type: cross Abstract: Production language-model systems answer a request by partitioning it across an invisible orchestration of worker agents that recompose one integrated

safetyarxiv-cs-ai

cool work! fully open source, built on langchain & langgraph, thoughtful about organizing and updating memory

This post highlights an open-source project built using LangChain and Langgraph that implements thoughtful memory management and organization features. The project demonstrates best practices for stru

agentsharrison-chase--x

Applications

Cost controls are one of the main benefits of langsmith LLM gateway We’re seeing in a bunch of use cases adoption is getting to a point wher…

applicationsharrison-chase--x

Cost controls are one of the main benefits of langsmith LLM gateway We’re seeing in a bunch of use cases adoption is getting to a point where cost really starts to matter Your agents can burn through

Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review

arXiv:2504.08540v2 Announce Type: replace Abstract: Accurate lane detection is essential for automated driving, enabling safe and reliable vehicle navigation across a variety of road scenarios. Numero

agentsarxiv-cs-cv

Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming

arXiv:2605.26828v1 Announce Type: new Abstract: Learning from Demonstration~(LfD) should capture not only how a task is executed, but also its high-level task structure that explains the demonstrated

agentsarxiv-cs-ro

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?

model-releasesarxiv-cs-lg

arXiv:2605.26548v1 Announce Type: cross Abstract: Large language models (LLMs) now support automated software security tasks, including vulnerability discovery and proof-of-concept (PoC) generation. E

Semigroup Consistency as a Diagnostic for Learned Physics Simulators

arXiv:2605.26324v1 Announce Type: cross Abstract: Learned physics simulators are often evaluated by one-step or short-horizon prediction error, but these metrics can miss failures in temporal composit

The Need for an External Observer Formalizing the Sufficiency Gap: A Mathematical Extension of Mixture Identifiability and Contextual Grounding in Sequence Models

arXiv:2605.26711v1 Announce Type: new Abstract: We construct a binary mixed-regime process with one deterministic textual regime and one random regime governed by an unobserved latent state. Even an i

agentsarxiv-cs-cl

The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection

arXiv:2605.26872v1 Announce Type: cross Abstract: LLM training increasingly relies on teacher-generated supervision, from synthetic responses to reasoning traces and tool-use demonstrations. Current p

this is cool. one paid api to wrap all paid apis

This post likely discusses a unified API service that aggregates access to multiple paid APIs, allowing developers to integrate various third-party services through a single payment and interface rath

This is pretty cool!

This is pretty cool! We've created the world's fastest PDF parser ⚡️ And it's more accurate than any other open-source, model-free PDF parser out there (pymupdf, pypdf, markitdown, pdftotext, opendata

agentsjerry-liu--x

Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization

arXiv:2605.26501v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have transformed multi-modal understanding, excelling in tasks like image captioning and visual question answerin

we are a car

we are a car We've created the world's fastest PDF parser ⚡️ And it's more accurate than any other open-source, model-free PDF parser out there (pymupdf, pypdf, markitdown, pdftotext, opendataloader,

agentsjerry-liu--x

Activegraph's website, newsletter, and marketing are all run on Cofounder!

Activegraph's website, newsletter, and marketing are all run on Cofounder! [technical blog post] “Evidence Compilation Before Semantic Memory: ActiveGraph on LongMemEval-S” —— 🔍85.6% QA accuracy and 8

Safety

Adaptive Human-AI Coordination via Hierarchical Action Disentanglement

arXiv:2605.24343v1 Announce Type: new Abstract: Human-AI collaboration requires agents that can adapt to diverse partner behaviors and skill levels while remaining robust to unseen partners. Existing

safetyarxiv-cs-ai

AgentGrounder: Zero-Shot 3D Visual Pointcloud Grounding using Multimodal Language Models

model-releasesarxiv-cs-ro

arXiv:2605.25901v1 Announce Type: cross Abstract: 3D Visual Grounding (3DVG) is an essential capability for embodied AI, requiring agents to localize objects in 3D scenes based on natural language des

AI warfare is already here

The Convention on Certain Conventional Weapons, an international forum that focuses on lethal autonomous systems, is hosted twice a year at the United Nations in Geneva. When Branka Marijan attended i

agentsthe-verge-ai

ARCANE-PedSynth: Synthetic Multi-Pedestrian Datasets with Behavioural Crossing Annotations

arXiv:2605.24950v1 Announce Type: cross Abstract: We present ARCANE-PedSynth, an open-source CARLA-based software framework for generating synthetic multi-pedestrian datasets with dense behavioural an

As an upcoming parent, I keep imagining all the tiny routines ahead 😊👼 One I am especially excited for: using AI for making up bedtime sto…

As an upcoming parent, I keep imagining all the tiny routines ahead 😊👼 One I am especially excited for: using AI for making up bedtime stories. So I built an app that creates one on demand: story, ill

agentsharrison-chase--x

Automate a loan underwriting pipeline in just a few lines of code✨️ A typical loan file is a stack of pay stubs and brokerage statements, ev…

Automate a loan underwriting pipeline in just a few lines of code✨️ A typical loan file is a stack of pay stubs and brokerage statements, every one formatted differently, every number re-typed by hand

agentsjerry-liu--x

Beyond Predefined Learning Objects: A Thinking-Learning Interaction Model for Up-to-Date Autonomous Robot Learning

arXiv:2605.23987v1 Announce Type: new Abstract: Autonomous robots operating in open and changing environments cannot always rely on predefined inputs, outputs, and action routines. Although existing l

Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks

arXiv:2510.19731v3 Announce Type: replace-cross Abstract: HAPS are emerging as key enablers in the evolution of 6G wireless networks, bridging terrestrial and non-terrestrial infrastructures. Operatin

Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations

arXiv:2510.19328v2 Announce Type: replace Abstract: Ensuring that predicted probabilities align with observed frequencies is critical in high-stakes domains such as clinical decision support, autonomo

Research

Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction

arXiv:2605.23928v1 Announce Type: new Abstract: We present Context, the intelligence layer of the Magarshak Architecture, which replaces reactive query-response chatbots with proactive goal-directed a

researcharxiv-cs-ai

CRISP -- Clustering-Based Redundancy-Reduced Instance Sampling for Pathology Case Representation and Retrieval

arXiv:2605.24253v1 Announce Type: cross Abstract: Digital pathology archives increasingly contain multiple whole-slide images (WSIs) per case, capturing spatially distinct tumour regions and reflectin

DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking

model-releasesarxiv-cs-lg

arXiv:2605.26087v1 Announce Type: cross Abstract: Frontier LLMs now perform strongly across a wide range of physics evaluations, but it is hard to disentangle genuine reasoning from recall of establis

Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations

arXiv:2605.25305v1 Announce Type: new Abstract: Electricity expense management presents significant challenges, as this resource is susceptible to various influencing factors. In universities, the dem

Enhanced INS/GNSS State Estimation using GNSS-Based Acceleration Measurements

arXiv:2605.24767v1 Announce Type: new Abstract: Accurate and reliable navigation is essential for autonomous ground vehicle operations. Standard INS/GNSS fusion relies on GNSS position updates, which

agentsarxiv-cs-ro

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction

arXiv:2512.24075v5 Announce Type: replace Abstract: Early lane-change intention prediction is essential for autonomous driving and ADAS, but it remains challenging because lane-changing behavior depen

first citation of ActiveGraph on arXiv 'as a complementary runtime', plus they included a working bridge example in the repo 😁

Yohei Nakajima announced the first arXiv citation of ActiveGraph, positioning it as a complementary runtime tool. The announcement included a working bridge example in the repository, indicating pract