All entries

IMFD: End-to-end Multi-Face Forgery Detection through Instruction-based Large Vision-Language Models

arXiv:2609.19693v1 Announce Type: new Abstract: The rapid increase of deepfakes has raised significant concerns due to their spread on social media. Traditional multi-face forgery detectors crop and v

researcharxiv-cs-cv

Content type

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Agents

Implementation of Tightly-Coupled SLAM Fusion of GPS, IMU, and LiDAR for Autonomous Vehicles

DGX agent

arXiv:2609.20321v1 Announce Type: new Abstract: Autonomous vehicles depend entirely on Simultaneous Localization and Mapping (SLAM) to navigate safely in unknown environments. However, relying on a si

agentsarxiv-cs-ro

18 Sept 2026

Improving Cross-embodiment Transfer in Latent Action Models with Action-Similarity Supervision

arXiv:2609.19846v1 Announce Type: cross Abstract: As generalist robot policies gain vision and language from web-scale pretraining, demonstrations remain costly to collect and tied to the robot that r

safetyarxiv-cs-ai

Improving Cross-Lingual Transfer for Sequential Sentence Classification in Research Papers via Structural Similarity

arXiv:2609.19650v1 Announce Type: new Abstract: Sequential sentence classification (SSC) is an essential task for structuring scientific publications, and extending SSC research to languages other tha

researcharxiv-cs-cl

Improving Generalization and Robustness in Offline Reinforcement Learning via Boundary-Aware Data Augmentation

arXiv:2609.20300v1 Announce Type: new Abstract: Current offline reinforcement learning (ORL) algorithms tend to overfit the training dataset and exhibit poor in-distribution generalization and robustn

safetyarxiv-cs-lg

Improving Offline Goal-Conditioned Reinforcement Learning via Selective Reward Stimulation

arXiv:2609.19414v1 Announce Type: new Abstract: Goal-conditioned reinforcement learning aims to learn policies that reach specified goals, but remains challenging in offline settings with sparse rewar

safetyarxiv-cs-lg

Improving Online Reinforcement Learning via Bidirectional Behavior Prior Distillation

arXiv:2609.20268v1 Announce Type: new Abstract: Online reinforcement learning (RL) algorithms frequently exhibit poor sample efficiency and unstable learning dynamics, stemming from systematic critic

safetyarxiv-cs-lg

In 2023, Lina Khan at the FTC launched an investigation into OpenAI over safety concerns. There was an entire AI regulatory program over the…

In 2023, Lina Khan at the FTC launched an investigation into OpenAI over safety concerns. There was an entire AI regulatory program over there, including law enforcement, policy, and litigation. Trump

inclusionAI/Realtime-Venus · Hugging Face

do you want some omni? here is omni for you 1. 🧭 Overview This repository hosts two checkpoints of the Realtime-Venus system: Realtime-Venus-Omni (Realtime-Venus-Omni/): the 9B audio-visual interactio

local-air-localllama

Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

arXiv:2609.20614v1 Announce Type: cross Abstract: Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced

local-aiarxiv-cs-ai

Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability

arXiv:2502.17003v2 Announce Type: replace-cross Abstract: Transfer-based adversarial attacks rely on surrogate models to craft perturbations, yet often overfit the surrogate's decision boundary. To ad

local-aiarxiv-cs-ai

INSPECT: Learning Robot View Selection from Assistant Use

arXiv:2609.20615v1 Announce Type: cross Abstract: Robots inspecting an assembly must determine which parts are present and whether they are correctly installed. During egocentric assembly assistance,

safetyarxiv-cs-cv

Applications

Instance Segmentation and Fine-grained Classification for Urban Buildings with Adaptive Region Dividing and Spatially-Supervised Contrastive Learning

arXiv:2609.19631v1 Announce Type: new Abstract: Accurate instance-level and functional understanding of urban buildings in large-scale point clouds is essential for digital city modeling and urban ana

applicationsarxiv-cs-cv

Intact-to-Amputee Transfer in Surface-EMG Gesture Decoding: Training Source and Calibration Budget

arXiv:2609.20297v1 Announce Type: new Abstract: A recogniser trained on one person rarely transfers to the next, and useful performance usually demands a fresh round of labelled calibration from the e

researcharxiv-cs-lg

Integrated Guidance and Control of a Mother-Child UAV-UGV System for Cooperative Missions

arXiv:2609.20540v1 Announce Type: new Abstract: Autonomous recovery of a small multirotor onto a hovering multirotor carrier differs from recovery onto ground or shipborne platforms because the recove

safetyarxiv-cs-ro

Integrating knowledge from case reports: a medical ontology based multimodal information system with structured summary

arXiv:2609.19775v1 Announce Type: new Abstract: Published medical case reports serve as a crucial medical information carrier, documenting discoveries in rare diseases, diagnostic methods, and innovat

researcharxiv-cs-ai

Interactive proofs for verifying (quantum) learning and testing

arXiv:2410.23969v3 Announce Type: replace-cross Abstract: We consider the problem of testing and learning from data in the presence of resource constraints, such as limited memory or weak data access,

researcharxiv-cs-lg

Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization

model-releasesarxiv-cs-lg

arXiv:2607.15394v2 Announce Type: replace Abstract: Black-box models limit the adoption of artificial intelligence in medicine because their predictions are difficult to interpret and reproduce. We pr

Intrinsic Sequence-Likelihood Confidence in Retrieval-Dominated Extractive QA: Two Pre-Specified Negatives, and What They Do and Do Not Attribute

model-releasesarxiv-cs-cl

arXiv:2609.19942v1 Announce Type: new Abstract: In extractive document question answering whose questions were generated from the passages that contain their answers -- so that retrieval recovers 92-9

Hardware

Introducing Amazon SageMaker HyperPod Inference Gateway

Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing add-on for Amazon EKS. It uses real-time GPU signals to send each inference request to the best-suited pod, cuttin

hardwareaws-ml-blog

Introducing Kimi K3 on Amazon Bedrock

model-releasesaws-ml-blog

Kimi K3 from Moonshot AI is now available on Amazon Bedrock, giving you a powerful new open-weight option for coding and knowledge work. It offers native vision, a 1-million-token context window, and

Introducing the first in our Parsed by LlamaParse series. We're outlining the stakes of 'getting parsing wrong' in consequential documents. …

Introducing the first in our Parsed by LlamaParse series. We're outlining the stakes of 'getting parsing wrong' in consequential documents. We’re starting with the U.S. Energy Information Administrati

agentsllamaindex--x

Is HF starting to move against abliterated models?

model-releasesr-localllama

Baseten launched a new safety infrastructure standard alongside its Base Labs research arm on Wednesday, partnering with Hugging Face and Goodfire AI to build safety evaluation and monitoring infrastr

Is It Still Worth Training a Classical Model in the Era of LLMs? A Crossover Benchmark on Tabular Data

arXiv:2609.20218v1 Announce Type: cross Abstract: Large language models can label a tabular row from a plain-English description with no training - a capability now shipping in mainstream spreadsheet

Is there a middle ground between total bans & zero oversight? Marcus is right that we rushed into agents without fixing basic sandboxing fir…

model-releasesgary-marcus--x

Is there a middle ground between total bans & zero oversight? Marcus is right that we rushed into agents without fixing basic sandboxing first. Perhaps the most important warning I ever issued was thi

Ischemic Stroke Segmentation and Net Water Uptake Quantification on Multicenter Non-Contrast CT Using Supervised Target-Domain Adaptation

arXiv:2609.20151v1 Announce Type: new Abstract: Objectives: Quantitative assessment of infarct hypodensity on non-contrast computed tomography (NCCT), including net water uptake (NWU), requires manual

researcharxiv-cs-cv

It ain’t independent if you are partnering with them and chose the partner.

It ain’t independent if you are partnering with them and chose the partner. We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators a

It is also possible that every oxygen atom in the room I'm in may migrate to a corner, thereby suffocating me. I think the major takeaway is…

It is also possible that every oxygen atom in the room I'm in may migrate to a corner, thereby suffocating me. I think the major takeaway is that @polynoamial is wasting his time on entirely foolish t

It’s time for our end-of-week recap 👇 — Gemini 3.8 Live and 3.8 Live Extended Thinking, our most advanced live dialogue audio models yet — …

model-releasesgoogle-ai--x

It’s time for our end-of-week recap 👇 — Gemini 3.8 Live and 3.8 Live Extended Thinking, our most advanced live dialogue audio models yet — Dreambeans, an experiment from @GoogleLabs that curates a dai

I've seen people describe Jev as an 'AI if statement'. But what if it actually WAS an if statement? Introducing Probably: a programming lang…

I've seen people describe Jev as an 'AI if statement'. But what if it actually WAS an if statement? Introducing Probably: a programming language powered by Jev: https://probably-lang.southpolesteve.wo

agentsyohei-nakajima--x

Jeezus. OpenAI cannot be trusted with the safety of the world. They can’t even keep their own servers secure.

Jeezus. OpenAI cannot be trusted with the safety of the world. They can’t even keep their own servers secure. On July 25, we hacked OpenAI. Two bugs let us take over ChatGPT/Codex accounts of OpenAI e

Tutorials

JEPA-Anything: Learning Predictive Models across Different Worlds

arXiv:2609.20800v1 Announce Type: new Abstract: World modeling enables intelligence to anticipate consequences, guide interventions, and learn from interaction. Yet predictive models remain domain-spe

tutorialsarxiv-cs-cl

JEPA-WAM: Connecting Generated Visual Instructions to World Action Models through JEPA Latent Representations

arXiv:2609.20277v1 Announce Type: new Abstract: World Action Models (WAMs) have demonstrated strong robotic manipulation capabilities by augmenting pretrained video generative models with action exper

Jev was adopted faster than any other model in AI Gateway history. In the first day, @typesafeai reached ~13% of teams, 2x the GPT-5.6 famil…

Jev was adopted faster than any other AI model in the history of AI Gateway, achieving roughly 13 % of total team adoption on its first day. This rate represented twice the uptake of the GPT‑5.6 famil

model-releasesvercel--x

JointMatch: A Unified Heterogeneous Graph Neural Solver for Large-Scale Ride-Sharing Matching

arXiv:2609.20200v1 Announce Type: new Abstract: Ride-sharing platforms must continuously decide which open requests to bundle into shared trips and which idle vehicles should serve them. The dominant

safetyarxiv-cs-ai

JustMem: Just-Enough Memory Access for Long-Term Conversations

arXiv:2609.19877v1 Announce Type: new Abstract: Efficient long-term conversational memory requires retrieving sufficient evidence without indiscriminately expanding the context presented to the langua

local-aiarxiv-cs-cl

Kinematics-Grounded Agentic AI for Robotic Additive Manufacturing Process Planning

arXiv:2609.19347v1 Announce Type: cross Abstract: Robotic additive manufacturing (AM) extends material-extrusion printing beyond gantry kinematics but makes process planning robot-dependent. A slicer-

agentsarxiv-cs-ai

KoNeoBench: A Curated Evaluation Dataset for LLM Understanding of Korean Neologisms

arXiv:2609.19916v1 Announce Type: cross Abstract: Large language models (LLMs) are typically evaluated on static benchmarks, even though natural language constantly evolves through newly emerging word

KoUniTalk: A Lightweight Articulation-Centered Korean-English 3D Talking Face Benchmark

model-releasesarxiv-cs-cv

arXiv:2609.19840v1 Announce Type: new Abstract: High-quality 3D talking face datasets remain largely English- centric, and Korean 3D facial motion data are difficult to combine with standard English b

Labeled Incidence Structures for Native Transformer Modeling of Text, Knowledge Graphs, and Hypergraphs

arXiv:2609.20278v1 Announce Type: cross Abstract: Text, knowledge graphs, and hypergraphs all have elements that play distinct roles within relation instances, structure that is lost when data is flat

safetyarxiv-cs-ai

Language-model groups overstate consensus when replaying human deliberation on a reasoning task

arXiv:2609.20543v1 Announce Type: new Abstract: Full-consensus rates are often treated as indicators of collective cognition, yet depend on how participation and final states are operationalized. We r

agentsarxiv-cs-ai

LapaTrack-3D: 6 DoF pre-operative shape tracking for laparoscopic surgery

arXiv:2609.19954v1 Announce Type: cross Abstract: This work proposes a real-time 6 Degree-of-Freedom (6 DoF) tracking algorithm for monocular laparoscopic surgery. It provides alignment between intra-

safetyarxiv-cs-cv

Large Language Model Agents for Evidence Based Genetic Disease Severity Classification

arXiv:2609.19569v1 Announce Type: cross Abstract: Disease severity classification for genetic conditions is subjective and labor-intensive, creating bottlenecks in genomic screening, where commercial

agentsarxiv-cs-ai

Large Language Models as Falsifiers for Cyber-Physical Systems

arXiv:2609.20752v1 Announce Type: cross Abstract: Falsification searches for counterexamples to formal specifications in cyber-physical systems (CPS). With specifications written in Signal Temporal Lo

researcharxiv-cs-ai

Large language models eroding science understanding: an empirical study of malignment

arXiv:2604.25639v2 Announce Type: replace-cross Abstract: This paper is accepted and in press for AI and Ethics. This paper includes the supplementary data file at the end of the manuscript. This stud

researcharxiv-cs-ai

Layer-wise Curriculum Learning for Efficient LLM Compression

arXiv:2609.19213v1 Announce Type: cross Abstract: In this paper, we introduce layer-wise curriculum learning for efficient LLM compression. The proposed method facilitates the knowledge transfer from

Industry

Leaked presentation: OpenAI expects negative free cash flow of 278B from 2026 to 2030 and projects its revenue will grow from 36B this year to $350B in 2030 (Financial Times)

Financial Times: Leaked presentation: OpenAI expects negative free cash flow of 278B from 2026 to 2030 and projects its revenue will grow from 36B this year to $350B in 2030 — AI start-up has projecte

industrytechmeme

Learn Before You Judge: Progressive Knowledge-to-Decision Alignment for Explainable Hateful Meme Detection

arXiv:2609.19778v1 Announce Type: new Abstract: Hateful memes spread abusive content through implicit interactions between images and text, posing serious threats to the safety of online communities.

safetyarxiv-cs-cl