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Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion

arXiv:2609.16062v1 Announce Type: cross Abstract: The studying of opinion dynamics and its propagation within social networks is crucial for addressing a wide range of challenges, including political

researcharxiv-cs-lg

Human

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Model Releases

DisasterInsight: A Multimodal Benchmark for Function-Aware and Grounded Disaster Assessment

DGX agent

arXiv:2601.18493v2 Announce Type: replace Abstract: Vision--language models (VLMs) show promise for disaster-response remote sensing, but existing benchmarks mainly emphasize scene-level or damage-cen

model-releasesarxiv-cs-cv

16 Sept 2026

Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions

arXiv:2609.16907v1 Announce Type: cross Abstract: AI companions can provide meaningful relationships, yet these relationships remain vulnerable to platform-initiated changes. We study AI companion dis

researcharxiv-cs-cl

Dissecting Motion-Prior Regularization for Data-Scarce Robotic Insertion

arXiv:2609.17484v1 Announce Type: new Abstract: This study asks whether training-time motion-prior regularization can improve insertion success when a diffusion policy is learned from only 15 demonstr

Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM Architecture

arXiv:2609.16091v1 Announce Type: new Abstract: Tabular foundation models deliver strong zero-training predictive performance via in-context learning, but their high inference latency makes them impra

agentsarxiv-cs-lg

Distributed JEPA: A Self-Supervised Framework for Energy Forecasting

arXiv:2609.17029v1 Announce Type: cross Abstract: Traditional energy forecasting solutions rely on task-specific supervision and energy asset representations, limiting transferability and the ability

Divergence Timing and Cumulative Disagreement under KV-Cache Eviction

model-releasesarxiv-cs-lg

arXiv:2609.16617v1 Announce Type: new Abstract: KV-cache eviction perturbs the conditional token distributions governing autoregressive generation. We investigate how first-divergence timing and subse

Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models

arXiv:2609.16589v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly handle complex subjective tasks, aligning their intentions and behaviors with human values has become a cri

Do You Have Freestyle? Expressive Humanoid Locomotion via Audio Control

arXiv:2512.23650v3 Announce Type: replace Abstract: Humans intuitively move to sound, but current humanoid robots lack expressive improvisational capabilities, confined to predefined motions or sparse

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow

arXiv:2509.12626v4 Announce Type: replace-cross Abstract: Aligning agentic AI with user intent is critical for delegating complex, socially embedded tasks, yet user preferences are often implicit, evo

safetyarxiv-cs-ai

Drift Field Net: Learning Ocean Lagrangian advection fields from in-situ and satellite observations

arXiv:2609.16288v1 Announce Type: new Abstract: The North Pacific Subtropical Gyre (NPSG) is a major accumulation zone for floating plastic debris, resulting from basin-scale convergent ocean circulat

researcharxiv-cs-lg

DriveMCP: An Agentic AI framework for Advanced Driver Assistance System

arXiv:2609.17247v1 Announce Type: new Abstract: An agentic AI driver-assistance framework that integrates perception, compliance reasoning, vehicle-state interpretation, and safety arbitration into a

Driver Behavior Estimation at Signalized Intersections Using a Physics-Constrained Decision-Conditioned Autoregressive Transformer

arXiv:2609.16058v1 Announce Type: cross Abstract: Red-light violations and harsh braking at signalized intersections are major contributors to traffic accidents. This paper analyzes and predicts human

safetyarxiv-cs-ai

Local Ai

Dual Randomized Smoothing: Beyond Global Noise Variance

arXiv:2512.01782v4 Announce Type: replace-cross Abstract: Randomized Smoothing (RS) is a prominent technique for certifying the robustness of neural networks against adversarial perturbations. With RS

local-aiarxiv-cs-ai

Early-Bird Decoding: Accelerating Diffusion LLMs with Learnable Block Sizes and Parallel Sampling

arXiv:2609.16450v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) offer a promising parallel decoding paradigm as an alternative to autoregressive generation through iterative

Easy to Catch a Liar, Hard to Clear an Honest One: Language Models Diagnosing a Corrupted Reward Channel from a Verified Record

arXiv:2609.17226v1 Announce Type: cross Abstract: An agent that learns from rewards has to trust whatever reports those rewards. When the reports suddenly change, either the world changed or the repor

EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis

arXiv:2609.16358v1 Announce Type: cross Abstract: Renewable energy systems and electrified transport have found widespread adoption in recent years. The integration of these non-linear loads, dominate

researcharxiv-cs-lg

ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue

model-releasesarxiv-cs-cl

arXiv:2609.17360v1 Announce Type: new Abstract: Full-duplex spoken dialogue systems must distinguish interruptions that require yielding the floor from backchannels that permit continued speaking. Exi

ECHO: Early-layer Collaborative Hierarchical Orchestration with Bonus Logits in Speculative Decoding

arXiv:2609.17241v1 Announce Type: new Abstract: While draft-model-free speculative decoding offers a promising path to efficient LLM inference, it is frequently constrained by stale draft candidates a

researcharxiv-cs-cl

Echoes of OpenAI renaming the Codex desktop app to 'ChatGPT' here - everyone's racing to establish themselves as a general agent now

model-releasessimon-willison--x

Echoes of OpenAI renaming the Codex desktop app to 'ChatGPT' here - everyone's racing to establish themselves as a general agent now Claude Cowork and Chat are now one Claude, starting today. The most

EchoPath: Execution-Level Replayable Memory for GUI Agents

arXiv:2609.16635v1 Announce Type: new Abstract: Computer-use agents increasingly operate browsers, software, and desktop applications via CLI or API portals, but graphical user interface (GUI) still p

Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling Strategy

arXiv:2609.16690v1 Announce Type: new Abstract: Reducing radiation exposure in Positron Emission Tomography (PET) is important for patient safety; however, ultra-low-dose imaging suffers from severe n

safetyarxiv-cs-cv

Efficient Multimodal Generative Recommendation with Latent Narrative Reasoning

arXiv:2609.16070v1 Announce Type: cross Abstract: Generative recommendation reformulates item prediction as semantic identifier generation, yet episodic content introduces a fundamentally different se

Efficient One-to-Many Translation with Joint Multi-Stream Diffusion

arXiv:2609.16312v1 Announce Type: cross Abstract: One-to-many machine translation (MT) is computationally expensive for autoregressive (AR) systems, which suffer from linear latency scaling with both

Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models

arXiv:2609.16689v1 Announce Type: new Abstract: Large-scale vision-language models (VLM) such as CLIP enable strong open-vocabulary reasoning, yet deploying these capabilities on resource-constrained

safetyarxiv-cs-cv

Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning

arXiv:2609.16255v1 Announce Type: cross Abstract: We present an efficient method to distill reasoning capabilities into compact video-language models (VLMs) for video question answering (VideoQA). Our

Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion Models

arXiv:2609.16572v1 Announce Type: cross Abstract: Text-to-image diffusion models often use a fixed number of denoising steps, balancing time costs and image quality. However, the optimal number of ste

EgoPathBench: Evaluating Zero-Shot Egocentric Waypoint Decision-Making in Vision-Language Models

model-releasesarxiv-cs-cv

arXiv:2609.16610v1 Announce Type: new Abstract: Zero-shot waypoint navigation requires vision-language models to select, from the current first-person observation, a sequence of spatial actions that i

Hardware

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA

hardwarenvidia-blog

EMODY Flow: Emotion-Aware Audio-Driven Full-Body Motion Generation

model-releasesarxiv-cs-cv

arXiv:2609.16011v1 Announce Type: cross Abstract: Embodied conversational agents require synchronized full-body motion (body gestures and facial expressions) that aligns with speech and emotional stat

ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation

arXiv:2609.17499v1 Announce Type: cross Abstract: Uncertainty estimation for Vision-Language-Navigation (VLN) models is a critical task since it can help identify ambiguous and unreliable predictions,

safetyarxiv-cs-ai

End-to-End Latency-Minimizing and Load-Balanced Request Scheduling for Edge LLM Inference in Agentic AI Services

arXiv:2609.17193v1 Announce Type: new Abstract: Large language model (LLM)-powered agentic AI services increasingly demand low-latency inference, motivating the deployment of LLMs across distributed e

agentsarxiv-cs-ai

Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation

model-releasesarxiv-cs-cl

arXiv:2609.17398v1 Announce Type: new Abstract: This paper addresses the challenge of making complex healthcare information more accessible through automated Plain Language Adaptation (PLA). PLA aims

Enhancing Law-Enforcement Audio Transcription: A LoRA-Based Adaptation of Whisper for BWC Footage

arXiv:2607.27245v2 Announce Type: replace-cross Abstract: Modern policing faces a 'visibility paradox' where law enforcement agencies possess petabytes of Body-Worn Camera (BWC) footage that remains l

Enhancing Low-resolution Image Representation Through Normalizing Flows

arXiv:2601.06834v2 Announce Type: replace Abstract: Low-resolution image representation can be regarded as a special form of sparse representation that retains only low-frequency information while dis

researcharxiv-cs-cv

Equivalence of approximation by networks of single- and multi-spike neurons

arXiv:2603.13478v2 Announce Type: replace-cross Abstract: In a spiking neural network, is it enough for each neuron to spike at most once? In recent work, approximation bounds for spiking neural netwo

Escape-Aware Control Barrier Functions for Quadrotor Safety under Body-Rate Limits

arXiv:2609.17292v1 Announce Type: new Abstract: Control barrier functions for input-constrained systems place the admissible input set inside the definition of the safe set, yet the resulting barrier

Applications

Evaluating Mesh Reconstruction Methods for Crop Phenotyping

arXiv:2609.16926v1 Announce Type: new Abstract: Phenotyping an agricultural crop is crucial for studying its entire life cycle, as it provides vital insights to improve yield and, ultimately, food pro

applicationsarxiv-cs-cv

Evaluating Open-Weight E-Commerce Agents with Environment-Grounded Verification

arXiv:2609.16093v1 Announce Type: new Abstract: A shopping conversation has many routes to the same cart, and a task-success rate reduces all of them to one score. We build a deterministic and reprodu

agentsarxiv-cs-lg

Evaluating Verified Autonomy in Quantum Engineering

arXiv:2609.17439v1 Announce Type: cross Abstract: Reliable quantum engineering is essential for turning quantum phenomena into practical technologies. As quantum platforms grow in scale and complexity

Applications

Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection

arXiv:2609.17134v1 Announce Type: new Abstract: Neuromorphic vision systems operate under strict constraints on bandwidth, memory, and energy, particularly at the edge, motivating early mechanisms for

applicationsarxiv-cs-cv

Tutorials

EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset

arXiv:2609.17189v1 Announce Type: new Abstract: 3D hand mesh reconstruction is a challenging yet essential task for downstream applications, including human-robot interaction and AR/VR. Although conve

tutorialsarxiv-cs-cv

EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory

arXiv:2408.14575v5 Announce Type: replace Abstract: EVINCE (Entropy and Variation IN Conditional Exchanges) is a novel framework for optimizing multi-LLM dialogues using conditional statistics and inf

agentsarxiv-cs-ai

EviScope: Paired Counterfactual Evidence Diagnostics for Faithful and Efficient Grounded Language Models

model-releasesarxiv-cs-cl

arXiv:2609.17081v1 Announce Type: new Abstract: Grounded language-model systems are often evaluated by final answer accuracy, yet a correct answer can be unsupported, drawn from the wrong source, or p

EviSI: An Evidence-Based Evaluation Agent for Simultaneous Interpreting

arXiv:2609.08171v2 Announce Type: replace Abstract: Low-latency simultaneous speech-to-speech translation must keep pace with ongoing speech while preserving key information. To meet these demands, sy

agentsarxiv-cs-cl

evMLP: An Efficient Event-Driven MLP Architecture for Vision

arXiv:2507.01927v3 Announce Type: replace Abstract: While CNNs and ViTs dominate vision architectures, all-MLP models offer a structurally simpler alternative whose patch-independent processing is nat

researcharxiv-cs-cv

Applications

Ex-Infosys chief Vishal Sikka’s Hang Ten raises $53M more for enterprise AI services

Enterprise artificial intelligence services startup Hang Ten Systems Inc. today announced it has raised 53 million in a second seed round, less than three months after announcing its first. Hang Ten p

applicationssiliconangle

Exact Fusion and Coordinated Exploration in Multi-Robot Active Inference

model-releasesarxiv-cs-ro

arXiv:2609.17384v1 Announce Type: new Abstract: Robot teams that learn a common environment model exchange belief summaries and plan by the expected information gain of their actions. Under conjugate