Search: “models”

Cristina Criddle / Financial Times: Sources: Anthropic is consulting law firms on deal negotiation tactics as it develops AI agents to negotiate on humans' behalf and interact with AI counterparts — T

industrytechmeme

18 Oct 2026

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Workday agrees to acquire C1.ai, formerly known as ConductorOne, which develops enterprise software to manage human and AI agent identities and has raised $111M (Malia Spencer/Portland Business Journal)

Malia Spencer / Portland Business Journal: Workday agrees to acquire C1.ai, formerly known as ConductorOne, which develops enterprise software to manage human and AI agent identities and has raised $1

agentstechmeme

17 Oct 2026

A Decision-Aware Evaluation Protocol for Uncertainty in Medical Image Segmentation

arXiv:2610.21616v1 Announce Type: new Abstract: Medical segmentation uncertainty is often evaluated with calibration error or pixel-level error-detection scores, but these metrics do not show whether

safetyarxiv-cs-cv

A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation

arXiv:2610.21238v1 Announce Type: new Abstract: A few well-annotated datasets for land-cover semantic segmentation have recently been introduced to advance the field of earth observation technologies.

Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions

arXiv:2602.05273v2 Announce Type: replace Abstract: Enabling robots to explore and act in unfamiliar environments under ambiguous human instructions by interactively identifying task-relevant objects

applicationsarxiv-cs-ro

Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems

arXiv:2610.21538v1 Announce Type: new Abstract: The Agent Status Protocol (ASP) defines a lightweight way for heterogeneous AI agents to report their operational state to a status server, and for obse

AI-Driven Disaster Response and Displacement Monitoring

arXiv:2610.21482v1 Announce Type: new Abstract: ARTIFICIAL INTELLIGENCE (AI) has demonstrated its potential across a wide range of humanitarian tasks, offering scalable and data-driven solutions to so

researcharxiv-cs-ai

AI safety and financing worries multiply but everyone’s still racing full speed ahead

The drumbeat over how safe artificial intelligence is — or more to the point, isn’t — just keeps louder. In the wake of weeks of incidents involving rogue agents, with likely more to come, more govern

safetysiliconangle

Hardware

ANEForge: Python for direct computation on the Apple Neural Engine

arXiv:2606.17090v2 Announce Type: replace-cross Abstract: ANEForge is a Python package that programs the Apple Neural Engine (ANE), the fixed-function neural accelerator on every recent Apple device,

hardwarearxiv-cs-ai

Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions

arXiv:2610.22138v1 Announce Type: new Abstract: LLM systems increasingly rely on groups of agents that discuss, critique, and check one another, assuming that peers will catch individual errors. We te

Tutorials

Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery

arXiv:2610.22122v1 Announce Type: new Abstract: Genetic and drug perturbation screens are important tools for elucidating disease mechanisms and validating therapeutic targets, but experimental costs

tutorialsarxiv-cs-lg

Beyond Retrieval Failure: Understanding Why LLMs Miss Evidence in Multi-Hop RAG

arXiv:2610.21184v1 Announce Type: new Abstract: Multi-hop retrieval-augmented generation (RAG) requires an agent to retrieve evidence for a sequence of dependent sub-questions. When a wrong answer lac

agentsarxiv-cs-cl

Blame Errant Words, Not the Canvas: Defect-Aware Spatial Credit Assignment for Visual Text Generation

arXiv:2610.20794v1 Announce Type: new Abstract: Recent reinforcement learning approaches have improved visual text generation, yet generated images still suffer from incorrect wording and malformed gl

local-aiarxiv-cs-cv

BOLT: Universal Classifier Training via a Bayes-Error Upper Bound

arXiv:2501.07754v2 Announce Type: replace-cross Abstract: This work introduces a novel approach to compute a universal upper bound on the Bayes error rate (BER) from classifier-output samples, which s

applicationsarxiv-cs-cv

Brilliant paper on scaling research agents from UC Berkeley. (bookmark it) They propose an unexpected and interesting way to scale automated…

Brilliant paper on scaling research agents from UC Berkeley. (bookmark it) They propose an unexpected and interesting way to scale automated research with agents. It's common to see research agents ke

agentsdair-ai--x

CARA: Causally Guided Retrieval Agent for Question Answering

arXiv:2610.22017v1 Announce Type: new Abstract: Retrieval-augmented generation over text-rich knowledge graphs requires identifying evidence that contributes to answering a question, rather than merel

CF-AVSS: A Coarse-to-Fine Audio-Visual Speech Separation Framework with Target-Speaker Refinement and Post-Fusion for Real-World AVSE Challenge

arXiv:2610.21773v1 Announce Type: cross Abstract: Audio-visual speech enhancement (AVSE) leverages visual cues to recover target speech from mixtures corrupted by reverberation, noise, and overlapping

applicationsarxiv-cs-ai

ChronoSheaf: Joint Spatio-Temporal Spectral Filtering on Cellular Sheaves

arXiv:2610.21958v1 Announce Type: new Abstract: Sheaf neural networks generalize graph neural networks by assigning each edge a learned linear restriction map that specifies how the local representati

local-aiarxiv-cs-lg

Close Enough is Nowhere Near: Fidelity-Consumability Decoupling in KV Caches

arXiv:2610.22016v1 Announce Type: new Abstract: Multi-agent LLM systems communicate in text, which is lossy and wasteful: the sender throws away the reading it already did. A growing literature instea

Coordination-Free Workload Regularization for Variable-Cost Distributed Training

arXiv:2610.21162v1 Announce Type: cross Abstract: Synchronous data-parallel training usually assigns every rank the same number of records, even when record costs vary by orders of magnitude. For vari

safetyarxiv-cs-lg

CoViG: Coarsened Vision GNN for Image Classification

arXiv:2610.21321v1 Announce Type: new Abstract: Although Graph Neural Networks are widely used in various domains, they remained mostly unexplored in computer vision. Convolutional Neural Networks and

Cross-subject decoding of imagined speech from scalp EEG: a leakage-controlled evaluation on three public corpora

arXiv:2610.20954v1 Announce Type: cross Abstract: Objective. A decoder of imagined speech that works for a new user without calibration would make a non-invasive speech interface practical. We tested

safetyarxiv-cs-lg

Decentralized LLM Workflows via Sequential Auctions

arXiv:2610.22201v1 Announce Type: cross Abstract: We present a scalable framework for solving multi-step tasks through a decentralized market of self-interested agents. Prior theoretical work demonstr

safetyarxiv-cs-ai

Dense4D: Pixel-Level 4D Human Correspondence

arXiv:2610.22325v1 Announce Type: new Abstract: Reconstructing human motion in 4D requires identifying the same surface points through articulation, deformation and changes in visibility. We introduce

Diviner: Agentic RCA with Human-Governed Adaptation for Large-Scale Infrastructure

arXiv:2610.21281v1 Announce Type: new Abstract: Root-cause analysis (RCA) in large-scale distributed systems is challenging because a single symptom can cross service, data, configuration, compute, an

DLOSAC: Joint Spatial-Geometric Image Estimation via Delaunay-Guided Local Optimization RANSAC

arXiv:2610.21215v1 Announce Type: new Abstract: Reliable image geometric estimation from noisy matching points is typically addressed using RANSAC, often combined with local optimization to refine inl

local-aiarxiv-cs-cv

Documenting Trofinetide Treatment Phenotypes in Rett Syndrome with a Dual-LLM Consensus Pipeline

arXiv:2610.22062v1 Announce Type: cross Abstract: Objective: Trofinetide, approved in 2023 as the first Rett syndrome treatment, lacks scalable real-world monitoring because chart review is labor-inte

applicationsarxiv-cs-cl

Does Morphological Correctness Matter for Tokenization? A Scrambled Control Study in Tagalog

arXiv:2610.20859v1 Announce Type: new Abstract: Typology-aware tokenizers are motivated by the claim that segmentation which respects morpheme boundaries preserves information that frequency-driven se

researcharxiv-cs-cl

Does On-Policy Distillation Need to Complete Every Rollout?

arXiv:2610.21337v1 Announce Type: cross Abstract: On-policy distillation (OPD) effectively transfers capabilities from a teacher to a student through feedback on student-generated rollouts. However, g

safetyarxiv-cs-ai

Edit4D: Editable 4D Scene Generation with Textual Control

arXiv:2610.21668v1 Announce Type: new Abstract: We introduce Edit4D, an editable text-to-4D scene generation framework that constructs 4D scenes from separate background and dynamic character represen

Efficient Agnostic Learning of Univariate Densities Under Local Differential Privacy

arXiv:2610.21033v1 Announce Type: cross Abstract: We propose a general framework for non-interactive locally differentially private (LDP) learning of structured univariate distributions that can be ap

researcharxiv-cs-lg

FedSumUp: User-Auditable Privacy-Aware Representation Sharing for Resource-Constrained Federated Intelligence

arXiv:2610.21194v1 Announce Type: cross Abstract: Existing federated data condensation methods face privacy risks, as uploaded synthetic data may preserve sensitive information and remain vulnerable t

researcharxiv-cs-ai

Finite-Time Guarantees for Constrained Reinforcement Learning under Partial Observability

arXiv:2610.21548v1 Announce Type: new Abstract: We study reinforcement learning in constrained partially observable Markov decision processes (CPOMDPs), where an agent maximizes reward subject to a co

Fractional Rotation, Full Potential? Investigating Performance and Convergence of Partial RoPE

arXiv:2603.11611v2 Announce Type: replace-cross Abstract: Rotary Positional Embedding (RoPE) is widely used in transformers to encode relative positional information, yet the effect of applying RoPE t

researcharxiv-cs-cl

From Documents to Spans: Span-Centric Learning for LLM-based Explainable Medical Coding

arXiv:2603.15270v3 Announce Type: replace-cross Abstract: Medical coding, which assigns standardized ICD codes to clinical documents, is a fundamental yet challenging task in modern healthcare. It req

safetyarxiv-cs-ai

From Optical Flow to Safety: Visual Safety Certification via Scale-Free Relative Motion

arXiv:2610.21374v1 Announce Type: new Abstract: Safe autonomous navigation using monocular vision remains challenging because explicit obstacle states are not directly observable. This letter introduc

safetyarxiv-cs-ro

GNN-Guided Local Refinement for Efficient Layout Decomposition with DSA-MP

arXiv:2610.22214v1 Announce Type: new Abstract: Multiple patterning lithography (MPL) has been widely used to improve lithography resolution in advanced nodes, but it faces cost limits as feature size

researcharxiv-cs-ai

GRADS: Graph-Regulated Agentic Data Synthesis with Controllable Difficulty

arXiv:2610.21167v1 Announce Type: new Abstract: Deep research agents are increasingly deployed to retrieve precise information from large corpora, yet multi-hop, long-horizon tasks remain challenging.

Grounded Human-Attributed Description and Activity Recognition in Videos

arXiv:2610.22295v1 Announce Type: new Abstract: Understanding characteristics and activities of individuals in complex multi-person environments is crucial for real-world applications. However, existi

applicationsarxiv-cs-cv

Here we go again. MOSS-Image

local-air-stablediffusion

https://openmoss.ai/MOSS-Image/ https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base https://github.com/OpenMOSS/MOSS-Image/blob/main/comfyui/README

Honesty is the Best Policy ... or is it? Demand Management for Probabilistic Service Options

arXiv:2610.21351v1 Announce Type: new Abstract: To enable well-informed customer choices and redistribute demand across service options, providers can display probabilities regarding predicted service

safetyarxiv-cs-lg

Tutorials

Illumination-Aware Active Perception for Spacecraft Inspection

arXiv:2610.22335v1 Announce Type: new Abstract: Harsh and rapidly varying orbital illumination introduces failure modes during spacecraft inspection. Existing planners rely on line-of-sight inspection

tutorialsarxiv-cs-ro

Learning Rational Strategies for Temporal Objectives in Multi-Agent Systems

arXiv:2610.22287v1 Announce Type: new Abstract: We study rational synthesis for stochastic multi-agent systems with unknown dynamics, where each agent is equipped with its own probabilistic temporal o

Local Epochs as Optimal Stopping: Theory and Evidence in Federated Learning

arXiv:2610.21832v1 Announce Type: new Abstract: How long should each client train before communicating? Federated learning usually answers with a fixed, hand-tuned number of local epochs, yet an extra

local-aiarxiv-cs-lg

Local Temporal Contrasts on Human Motion Data Induce a Latent Geometry

arXiv:2610.21630v1 Announce Type: new Abstract: Time series such as recordings of human motion data often encode structure across multiple temporal scales, and when a latent state determining this seq

local-aiarxiv-cs-lg

LOOP-MAC: Learning-Based Multi-Agent Coordination with Guaranteed Local Feasibility in a Virtual Power Plant

arXiv:2310.17882v3 Announce Type: replace Abstract: By aggregating distributed energy resources (DERs) into a single dispatchable resource, virtual power plants (VPPs) enable the grid to use the flexi

Love for Believable AI: Artificial Partiality and Relationship Persistence as an Engineerable Stance

arXiv:2610.09895v1 Announce Type: cross Abstract: We study a behavioral mechanism for artificial partiality in conversational agents. The paper reports no human-subjects data and makes no claim about

researcharxiv-cs-cl

MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments

arXiv:2610.20939v1 Announce Type: new Abstract: Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to G