Search: “models”

Action-Aligned Retrieval with Pairwise Multimodal Reranking for Text-Based Person Anomaly Search

arXiv:2608.23503v1 Announce Type: new Abstract: Text-based person anomaly search requires distinguishing individuals based on fine-grained, context-dependent behaviors rather than mere appearance. Exi

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Research

Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition

DGX agent

arXiv:2608.23536v1 Announce Type: cross Abstract: The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retraining from scratch. However, con

researcharxiv-cs-ai

25 Aug 2026

Hardware

Adversarial Entropy Inflation Against Gumbel-Based Inference Verification

arXiv:2608.23375v1 Announce Type: cross Abstract: Gumbel-based inference verification bounds LLM weight exfiltration by only forgiving token choices that plausibly arise from honest GPU nondeterminism

hardwarearxiv-cs-ai

Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategies

arXiv:2608.23214v1 Announce Type: new Abstract: Biomedical knowledge exists in two complementary but distinct forms: unstructured scientific literature and structured knowledge graphs (KGs). Aligning

safetyarxiv-cs-cl

Apple unveils a more powerful Mac mini featuring the all-new M6 and M5 Pro

'A 12-core GPU, also with two more cores than before, now includes Neural Accelerators in each core for the first time on Mac mini, resulting in up to 4x faster AI performance and 2x faster graphics t

local-air-localllama

AquaFlow: A Monocular Gaussian Splatting SLAM for Underwater Streaming Reconstruction

arXiv:2608.22906v1 Announce Type: new Abstract: Recent monocular 3D Gaussian Splatting (3DGS) streaming reconstruction methods have achieved impressive performance by balancing reconstruction quality

Ask or Answer: A Decision Framework for Multi-Turn Health Misinformation Intervention

arXiv:2608.21721v1 Announce Type: new Abstract: Correcting health misinformation in dialogue requires more than producing a factual rebuttal: users differ in what they know, what they believe, and wha

Beyond Point Predictions: Uncertainty-Aware Satellite Poverty Mapping for Public Policy

arXiv:2608.23322v1 Announce Type: new Abstract: Despite their critical importance for policy and research, high-resolution poverty data remain limited across much of Africa. Machine learning (ML) with

safetyarxiv-cs-lg

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising

arXiv:2508.05206v2 Announce Type: replace Abstract: Online advertising systems typically use a cascaded architecture to manage massive requests and candidate volumes, where the ranking stages allocate

Calibrating Perception Uncertainty for Autonomous Driving

arXiv:2211.04340v2 Announce Type: replace Abstract: Autonomous driving systems must be capable of making quick decisions based on the perceived environment and specific driving conditions. Perception

safetyarxiv-cs-cv

ChatGPT Work can now use its computer and browser to sign in to websites on web and mobile, without ChatGPT ever seeing your username or pas…

ChatGPT Work can now use its computer and browser to sign in to websites on web and mobile, without ChatGPT ever seeing your username or password. That means you can ask it to: • Set up utilities for

safetyopenai--x

ChebBooster: A Training-Free Approach for Efficient Diffusion Transformer Inference via Chebyshev-Inspired Extrapolation

arXiv:2608.23429v1 Announce Type: cross Abstract: Diffusion Transformers (DiTs) have shown strong performance in high-fidelity image generation, but their sampling process remains computationally inte

Agents

Coalition-Aware Skill Reliability for Self-Evolving Agents

arXiv:2608.22610v1 Announce Type: new Abstract: Agent skills, structured artifacts distilled from interaction trajectories and dynamically reused from skill banks, have become a central mechanism for

agentsarxiv-cs-ai

Applications

Contrastive Representation-Guided Genetic Minority Oversampling for Imbalanced Time-Series Classification

arXiv:2608.22804v1 Announce Type: new Abstract: Real-world time-series classification tasks often exhibit class imbalance, which can be extremely severe in some applications. To avoid training biased

applicationsarxiv-cs-lg

DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts

arXiv:2608.23363v1 Announce Type: cross Abstract: Audio-visual deepfake detection is an actively studied topic, where one of the main challenges is to develop detectors able to generalize across deepf

Do Not Copy/Paste: Soft Barriers for Copying in AI-Assisted Programming

arXiv:2608.22638v1 Announce Type: cross Abstract: Copying a function from a chat window into an editor takes less than a second. For many uses of AI coding tools, that speed is the point; in settings

DRAgent: Discriminative Reasoning Agent for Referring Expression Segmentation

arXiv:2608.22885v1 Announce Type: new Abstract: Referring Expression Segmentation (RES) aims to generate a pixel-level mask for the object specified by a language expression. Recent methods based on m

local-aiarxiv-cs-cv

Emotion Intensity Matters: Generating Realistic Expressions in Virtual Humans with CVAEs

arXiv:2608.21697v1 Announce Type: new Abstract: Generating expressive facial behavior in virtual humans (VHs) remains a central challenge in affective computing and character animation. This paper pre

Agents

Environmental Injection Attacks against GUI Agents in Realistic Dynamic Environments

arXiv:2509.11250v3 Announce Type: replace-cross Abstract: Graphical User Interface (GUI) agents are increasingly deployed to interact with online web services, yet their exposure to open-world content

agentsarxiv-cs-cv

Agents

Finally, a good paper testing whether Agent Skills actually help. Worth reading if you are maintaining a skill library in a team. WebDev-Ski…

Finally, a good paper testing whether Agent Skills actually help. Worth reading if you are maintaining a skill library in a team. WebDev-Skills-Bench runs 31 public WebDev Skills over 50 Web-Bench pro

agentsdair-ai--x

GCA: Global Centroid Alignment in Federated Learning

arXiv:2608.22593v1 Announce Type: new Abstract: Autoencoder (AE)-based federated learning (FL) is attractive for anomaly detection when clients have limited local data. However, conventional FL exchan

GenCoord: Skill-Path Commitments under Private Information

arXiv:2608.22055v1 Announce Type: new Abstract: Suppose one embodied agent knows what must be built, while its teammate alone knows which transformation its workcell can perform. Neither local view de

local-aiarxiv-cs-ai

Tutorials

How to evaluate LLMs before production

Mariko Wakabayashi is a Principal Applied Scientist at Microsoft who leads the development of agentic AI workflows for cybersecurity operations. She specializes in evaluating LLM‑powered systems and a

tutorialsgithub-ai-blog

Is Next-Chunk Reasoning RL Really Better than SFT? Revisiting Training Strategies under no-CoT Data

arXiv:2608.23256v1 Announce Type: new Abstract: Recent work proposes next-chunk reasoning RL for leveraging no-CoT data---corpora such as worked solutions and textbook derivations that contain reasoni

Learning Implicit Constitutive Laws for Dynamic 3D Gaussian Splatting from Monocular Videos

arXiv:2608.22102v1 Announce Type: cross Abstract: We present GCA (Gaussian Constitutive Alignment), a framework for learning implicit constitutive laws from monocular dynamic video of deformable objec

Let the Bullets Fly: Multimodal Fake News Detection with Temporal-Aligned Generative Danmaku

arXiv:2608.22832v1 Announce Type: new Abstract: The social interactions among crowds via extit{Danmaku} (a.k.a., bullet comments) on modern multimedia platforms can facilitate both viewpoint conflicts

Applications

LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space

arXiv:2608.23124v1 Announce Type: cross Abstract: Personalized text generation for authors and literary writing is essential for applications such as adaptive writing assistants, creative support tool

applicationsarxiv-cs-ai

LLM-Based Selection of Incongruent Verbal and Nonverbal Behavior for Virtual Humans

arXiv:2608.22731v1 Announce Type: new Abstract: Nonverbal behavior generation systems for virtual agents often take an utterance as input and generate nonverbal behaviors that emphasize or illustrate

Macro-Action Topological Navigation under Noisy Localization using Reinforcement Learning

arXiv:2608.23055v1 Announce Type: new Abstract: Navigating large, photorealistic 3D apartments from raw pixels is widely considered infeasible for plain reinforcement learning. We build an agent that

Mitigating Sample-Level Imbalance via Probabilistic Separation for Adaptive Multimodal Fusion

arXiv:2510.21797v4 Announce Type: replace-cross Abstract: Multimodal learning faces modality imbalance, where dominant modalities suppress weaker ones due to inconsistent convergence rates. Existing s

Modalities Should Talk to Each Other: Dual-Stream Multimodal Learning for Long-Horizon Influenza Forecasting

arXiv:2608.23373v1 Announce Type: new Abstract: Forecasting long-range influenza-like illness (ILI) matters for public health readiness. Publicly available surveillance datasets typically pair numeric

MorphoCLIP: Text-Supervised Contrastive Learning for Perturbation Matching in Cell Painting Images

arXiv:2608.22690v1 Announce Type: new Abstract: Cell Painting microscopy captures how cells change after a chemical or genetic perturbation. Connecting these images to the perturbations that produced

safetyarxiv-cs-cv

Neighbor-embedded Graph Neural Network-based Crowd Delivery Traffic Management in Smart City

arXiv:2608.22555v1 Announce Type: cross Abstract: The significant upsurge in vehicle traffic presents a considerable challenge in the pursuit of smart mobilization and transportation (SMT) worldwide.

Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective

arXiv:2412.10390v2 Announce Type: replace Abstract: Knowledge graph reasoning is pivotal in various domains such as data mining, artificial intelligence, the Web, and social sciences. These knowledge

OmicSync: Reliability-Aware Spatial Multi-Omics Clustering with Evidence-Constrained LLM Reasoning

arXiv:2608.22785v1 Announce Type: new Abstract: Spatial multi-omics technologies jointly profile gene expression, surface proteins, and histology at each tissue spot, yet most spatial domain discovery

Hardware

OpenAI Jalapeño Inference Chip: First Measured Results

Human

OpenAI reports Jalapeño delivers 1.5–1.9× more AI work per watt and 1.7–3.6× lower latency vs comparison systems on InferenceX.

hardwareopenaiinference

Optimize Surgical Triplet Recognition: A Knowledge-Driven Mixture-of-Experts Solution

arXiv:2608.22972v1 Announce Type: new Abstract: Surgical action triplet recognition constitutes a critical task in context-aware robot-assisted surgery, facilitating automatic surgical action percepti

Applications

Physics Filtering Favors the Generalization of Robot Learning

arXiv:2608.22701v1 Announce Type: new Abstract: Living organisms exhibit extraordinary adaptability to unseen environments through their intrinsic physical structures and lifelong feedback-driven lear

applicationsarxiv-cs-ro

Poisson Subspace Clustering: Focusing on the Essentials in Count Data

arXiv:2608.23287v1 Announce Type: new Abstract: Count data represented as a matrix of non-negative integer values, such as contingency tables, are prevalent across diverse domains. When clustering suc

PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors

arXiv:2608.23101v1 Announce Type: cross Abstract: Recent progress in the field of TinyML has demonstrated that low-power hardware based on microcontrollers can achieve bird species monitoring in real

Power-Performance Characterization of TinyML Systems

arXiv:2608.21646v1 Announce Type: cross Abstract: TinyML systems are enabling machine learning (ML) inference at the edge. However, there is little quantitative analysis of such systems. This paper pr

Pre-Decoding Acoustic Triage for Budgeted Vision-Language Captioning of Untrimmed Egocentric Video

arXiv:2608.22359v1 Announce Type: cross Abstract: Automatically analyzing hours-long egocentric video is increasingly essential for progress monitoring, quality control, and safety in logistics, const

Precision-Aware Variable Bit Processing Elements for Hardware-Efficient Systolic Array Designs

arXiv:2608.22378v1 Announce Type: cross Abstract: Systolic arrays (SAs) have emerged as prominent hardware accelerators for matrix operations in deep learning, while floating point number formats enab

Predicting Early Functional Decline from Longitudinal Laboratory and Vital Sign Trajectories: A Large-Scale Study Using the All of Us Research Program

arXiv:2608.21589v1 Announce Type: new Abstract: Functional decline in older adults is typically recognized only after falls or observable gait impairment, closing the window for prevention. We investi

Programmable k-local Ising interactions and shallow optical Kolmogorov--Arnold networks through repeated data encounters

arXiv:2508.17440v3 Announce Type: replace-cross Abstract: Photonic processors are naturally suited to linear transformations, but independently programmable higher-order interactions usually require n

RAG Collapse: LLM Responses Collapse When Retrieved Documents Are Self-Authored

arXiv:2608.22118v1 Announce Type: new Abstract: LLM responses are based on the internet (via training or RAG), and AI is now used to generate a significant amount of content online (Paredes et al., 20

safetyarxiv-cs-cl

Random Hazard Forests

arXiv:2608.21597v1 Announce Type: cross Abstract: Clinical data sources such as electronic health records and wearable sensors record patient status repeatedly over follow-up, often at irregular times

Recovering Weighted Tangent Geometry from a Single-Scale Score Field

arXiv:2608.22334v1 Announce Type: cross Abstract: Near a smooth data manifold, one tangent space summarizes local geometry. At a branch point, the corresponding first-order object is instead a measure