All entries

arXiv:2609.22249v1 Announce Type: new Abstract: This paper treats prompt engineering as a discipline for turning informal human intent into structured AI work specifications. It develops the practice

agentsarxiv-cs-cl

A vector logic for intensional formal semantics

Content type

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DGX agent

arXiv:2602.02940v2 Announce Type: replace-cross Abstract: Formal semantics and distributional semantics are distinct approaches to linguistic meaning: the former models meaning as reference via model-

researcharxiv-cs-cl

22 Sept 2026

A^2Safe: Counterfactual Evidence-Aligned Adaptive Agent Collaboration for Safe and Effective Visual Question Answering

arXiv:2609.24098v1 Announce Type: new Abstract: Visual Question Answering (VQA) with Multimodal Large Language Models (MLLMs) requires not only producing safe and effective responses, but also groundi

AC-DC: Adaptive Communication for Scalable Dynamic Average Consensus in Multi-Robot Ergodic Search

arXiv:2609.24702v1 Announce Type: new Abstract: We study scalable peer-to-peer dynamic average consensus (DC) for multi-robot systems under finite-range, finite-rate, and interference-constrained comm

researcharxiv-cs-ro

Accelerated stochastic first-order method for convex optimization under heavy-tailed noise

arXiv:2510.11676v2 Announce Type: replace-cross Abstract: We study convex composite optimization problems, where the objective function is given by the sum of a prox-friendly function and a convex fun

Hardware

Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS

ROS 2 nodes in NVIDIA Isaac ROS 5.0 now employ a CUDA buffer backend (via rosidl::Buffer) so that payloads remain GPU‑resident and can be transferred between nodes with zero‑copy when both endpoints s

hardwarenvidia-developer

Acceptance-Aware Draft Model Training for Speculative Decoding

arXiv:2609.24150v1 Announce Type: new Abstract: Speculative decoding accelerates large language model (LLM) inference by using a lightweight draft model to generate multiple candidate tokens that are

Applications

Accounting for Optimal Control in the Sizing of Isolated Hybrid Renewable Energy Systems Using Imitation Learning

arXiv:2601.03679v2 Announce Type: replace-cross Abstract: Decarbonization of isolated or off-grid energy systems through phase-in of large shares of intermittent solar or wind generation requires co-i

applicationsarxiv-cs-lg

Accurate Motion Estimation with Bezier Control Point for Efficient Frame Interpolation

arXiv:2609.23408v1 Announce Type: new Abstract: In frame interpolation tasks, motion ambiguity in the training set causes models to generate blurry intermediate frames. Moreover, the assumption of uni

Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understanding

arXiv:2609.24127v1 Announce Type: new Abstract: Atomic activity understanding aims to recognize and localize structured traffic behaviors that jointly encode motion patterns and their grounding in roa

Tutorials

Actionable Insights from Observational Data: The Case of Advanced Classes in K-12 Education

arXiv:2609.23836v1 Announce Type: new Abstract: A fundamentally challenging question in K-12 education is about the effects of taking more advanced or challenging classes. It is particularly complex b

tutorialsarxiv-cs-lg

Agents

Active Spatial Inspection for Effective and Efficient Embodied Exploration

arXiv:2609.22385v1 Announce Type: cross Abstract: Achieving high task success and efficiency remains a central pursuit in embodied exploration. Existing frameworks typically guide agent behavior throu

agentsarxiv-cs-cv

Active Visual Sampling with a Connectome-Constrained Fly Model for One-Shot Hatch Recognition in Architectural Drawings

arXiv:2609.24565v1 Announce Type: new Abstract: Architectural drawings encode material classes through repeated hatch patterns. We test whether a connectome-constrained fly visual network, pretrained

ActiveArena: Benchmarking and Understanding Active Perception in Robotic Manipulation

model-releasesarxiv-cs-ro

arXiv:2609.24124v1 Announce Type: new Abstract: Active perception and manipulation are crucial for robots to interact with complex scenes. Existing benchmarks struggle to evaluate how robots effective

Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation

arXiv:2603.11984v2 Announce Type: replace Abstract: Diffusion-based visuomotor policies model complex action distributions through iterative denoising, but repeated inference adds latency to robotic c

AdaMame: A Training Recipe for Adaptive Multilingual Reasoning

arXiv:2606.15080v2 Announce Type: replace Abstract: While Large Reasoning Models (LRMs) show strong performance in English, they often fail to reason in the language of the query, a phenomenon known a

safetyarxiv-cs-cl

AdaMem: Adaptive Memory Token Allocation for Soft Compression in Retrieval-Augmented Generation

arXiv:2609.22100v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves language models with retrieved evidence, but processing many long passages is costly and can introduce dis

researcharxiv-cs-cl

AdaMerge: Tuning-Free Patch Compression for Multi-Vector Visual Document Retrieval

arXiv:2609.22562v1 Announce Type: new Abstract: Multi-vector visual document retrieval (VDR) models such as ColPali and ColNomic achieve strong accuracy by representing each document with hundreds to

Tutorials

Adapting Boltz-2 with limited experimental activity data improves early enrichment in virtual screening

arXiv:2609.24302v1 Announce Type: cross Abstract: Virtual screening aims to prioritize active compounds from large chemical libraries within a limited experimental budget. When applying Boltz-2 to vir

tutorialsarxiv-cs-lg

Adapting Tree-Structured Speculative Decoding to DeepSeek-V4 for Efficient Inference

model-releasesarxiv-cs-cl

arXiv:2609.24698v1 Announce Type: new Abstract: Repeated execution of the target model during autoregressive decoding is a major source of LLM inference latency. Unlike linear speculation, which follo

Adaptive Cortically Constrained EEG-Vision Alignment for Zero-Shot Brain-to-Image Retrieval

arXiv:2609.24109v1 Announce Type: new Abstract: Zero-shot brain-to-image retrieval requires robust alignment between noisy EEG responses and visual representations. Existing EEG-vision alignment metho

Adaptive Determinantal Client Scheduling in Federated Learning

arXiv:2609.23843v1 Announce Type: new Abstract: Scheduling clients for model training is critical in federated learning due to both data and system heterogeneity. Most previous works focus on the qual

Adaptive Forgetting for Nonstationary Optimization: Towards Robust EEG Decoding

arXiv:2609.24233v1 Announce Type: new Abstract: Electroencephalography (EEG) provides non-invasive monitoring of brain activity and is widely used in emotion recognition, motor imagery and sleep stagi

safetyarxiv-cs-lg

Adaptive Physics-Informed Neural Networks for the Blasius Boundary-Layer Problem

model-releasesarxiv-cs-lg

arXiv:2609.22185v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) provide a mesh-free approach for solving differential equations, but their performance can depend strongly on l

AdaptiveCDM: Source-Free Few-Shot Domain Adaptation for Cell Detection in Microscopic Images

arXiv:2503.03370v3 Announce Type: replace Abstract: Cross-domain cell detection for microscopic images suffers from performance degradation due to distribution shifts across imaging domains. Unsupervi

Adversarially Robust PAC Learning with Optimal VC Rates

arXiv:2609.24260v1 Announce Type: cross Abstract: We study the problem of adversarially robust PAC learning. In this framework, the learner observes independent samples from an unknown distribution ov

Tutorials

AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation

arXiv:2609.22332v1 Announce Type: cross Abstract: Generalizable robot manipulation requires predicting how a scene will evolve, identifying where interactions are feasible, and determining how to act.

tutorialsarxiv-cs-cv

Hardware

AgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows

arXiv:2609.22951v1 Announce Type: cross Abstract: Enterprise agentic systems that route every trajectory step to a frontier model waste 60-80% of their inference budget on subtasks that smaller models

hardwarearxiv-cs-cl

Agents

AgentSTAR: Agentic Shape Tracking and Reconstruction from Monocular Videos

arXiv:2609.24487v1 Announce Type: new Abstract: In this work, we present a method for shape reconstruction and tracking from video via agentic analysis-by-synthesis. Unlike prior methods which first e

agentsarxiv-cs-cv

AI-inferred expressed well-being and collective-action discourse in climate-change campaigns on X

arXiv:2609.22096v1 Announce Type: new Abstract: Climate campaigns are often evaluated through attention and mobilization, but less is known about the well-being language that accompanies them. Whether

researcharxiv-cs-cl

AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning

model-releasesarxiv-cs-lg

arXiv:2609.23084v1 Announce Type: new Abstract: Over-the-air federated learning lets edge devices transmit their local updates simultaneously, reducing the communication overhead. The resulting wavefo

AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation

arXiv:2609.22796v1 Announce Type: new Abstract: Dialectal Arabic machine translation (MT) remains challenging despite recent progress in Arabic language technologies, particularly because effective tr

researcharxiv-cs-cl

Algebraic Consistency Alone Does Not Certify Temporal Structure in Latent Action Models

arXiv:2609.23478v1 Announce Type: new Abstract: Latent action models infer a code for the transition between two frames of action-free video. Recent methods regularise this code to compose additively

Algorithmic Collusion and the Complexity of Information-Value-Free Equilibria

arXiv:2609.22757v1 Announce Type: cross Abstract: A (coarse) correlated equilibrium (CE) is information-value-free (IVF) if a player can match the payoff obtained from recommendations by committing to

AlignMorph: Tuning-Free Diffusion Image Morphing via Explicit Semantic Transport

arXiv:2609.24330v1 Announce Type: new Abstract: Image morphing aims to produce a smooth and semantically consistent transition between two input images. Existing diffusion-based morphing methods eithe

All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts

arXiv:2609.24058v1 Announce Type: new Abstract: Multilingual scene text recognition (STR) remains challenging due to the scarcity of training data for most languages and the difficulty of serving dive

ALPCAHUS: Subspace Clustering for Heteroscedastic Data

arXiv:2505.18918v4 Announce Type: replace-cross Abstract: Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. Various methods have been proposed to extend P

Industry

Alphabet-owned robotics software company Intrinsic open-sources Intrinsic Core under Apache 2.0, giving developers building blocks for physical AI systems (Mike Wheatley/SiliconANGLE)

Mike Wheatley / SiliconANGLE: Alphabet-owned robotics software company Intrinsic open-sources Intrinsic Core under Apache 2.0, giving developers building blocks for physical AI systems — Intrinsic Inn

industrytechmeme

ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning

arXiv:2609.22323v1 Announce Type: new Abstract: Few-shot learning research is predominantly evaluated on accuracy alone, with limited attention to the parameter and training-sample budgets required to

Local Ai

Am I going insane for thinking that these are all Bot comments?

I know that there are some bots active on this sub but wow these comments really look AI generated. Is it just me or are those really bot comments? https://preview.redd.it/20st4vivq3rh1.png?width=955&

local-air-localllama

An Affordable AI-Integrated Smart Cane for Multimodal Mobility Assistance of Visually Impaired Users

arXiv:2609.22277v1 Announce Type: cross Abstract: Visual impairment affects over 2.2 billion people worldwide, yet conventional white canes cannot detect elevated hazards or provide semantic environme

An Efficient and Effective Watermarking Scheme for the Protection of the Intellectual Property Rights of Video Generative Models

arXiv:2609.23586v1 Announce Type: new Abstract: The rapid development of video generative models (VGMs) has enabled the generation of highly realistic synthetic videos, raising concerns about the inte

An Empirical Cost Attribution of Context-Compression Gateways in Multi-Turn Coding Agents

model-releasesarxiv-cs-cl

arXiv:2609.22114v1 Announce Type: new Abstract: Context compression is widely proposed as a way to cut the token bill of LLM coding agents, and public benchmarks report that aggressive compression pre

An Empirical Study and Open Testbed for Federated Fine-Tuning of Vision-Language-Action Models

model-releasesarxiv-cs-ro

arXiv:2609.22973v1 Announce Type: new Abstract: Adapting a pretrained Vision-Language-Action (VLA) model to a new robot, environment, or task requires demonstrations that are collected locally and oft

An Empirical Survey and Benchmark of Learned Distance Indexes for Road Networks

model-releasesarxiv-cs-lg

arXiv:2602.04068v2 Announce Type: replace Abstract: The calculation of shortest-path distances in road networks is a core operation in navigation systems, location-based services, and spatial analytic

An Eternal Irradiance Camera

arXiv:2609.23161v1 Announce Type: new Abstract: A conventional camera uses millions of pixels to measure radiance from all directions within its field of view. We present an omnidirectional irradiance

An Evolutionary Agentic Approach for Open-ended Image Quality Perception

arXiv:2609.22942v1 Announce Type: new Abstract: Generative models are rapidly expanding image quality assessment (IQA) beyond traditional fidelity factors to emerging dimensions such as physical plaus

An Exact Junction-Tree Extended Formulation for Optimal Classification Trees

arXiv:2609.24741v1 Announce Type: new Abstract: We develop an exact linear programming (LP) formulation for bounded-depth classification trees with binary features, using a junction-tree representatio