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Have I Seen You? Embedding Behavior Signals Synthetic Face Dataset Membership

arXiv:2607.29144v1 Announce Type: cross Abstract: Synthetic face datasets are increasingly used to reduce privacy exposure and data access constraints in biometric recognition. Yet the generators that

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Research

HenTwin: A Multimodal Digital Twin Framework for Longitudinal Biological State Monitoring in Laying Hens

DGX agent

arXiv:2607.28652v1 Announce Type: cross Abstract: Early-life monitoring in laying hens remains constrained by fragmented single-modality sensing and the absence of formal system-level state representa

researcharxiv-cs-ai

3 Aug 2026

Here’s why AI agents lie and cheat to reach their goals

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI model

researchmit-tech-review

Local Ai

HERO: History-Enriched Rollout Training for Long-Horizon Autoregressive Neural Operators

arXiv:2607.29135v1 Announce Type: cross Abstract: Neural operators provide fast surrogates for time-dependent partial differential equations (PDEs) by applying a learned evolution operator recursively

local-aiarxiv-cs-ai

Hierarchical Copula-Gumbel-Top-exorpdfstring{K}{K} Routing: Two-Sided Dependence Control for Frozen Mixture-of-Experts at Fixed Per-Token Routing Laws

arXiv:2607.28670v1 Announce Type: new Abstract: A stochastic Gumbel-Top-K router defines, for every token of a mixture-of-experts (MoE) model, a routing law: a distribution over ordered expert lists a

researcharxiv-cs-lg

HierDoc: Hierarchical Page-to-Region Evidence Routing for Long-Document Visual Question Answering

arXiv:2607.29638v1 Announce Type: new Abstract: Multi-page document visual question answering requires locating sparse evidence at both the page and region levels. Existing approaches typically emphas

safetyarxiv-cs-cv

Homotopy-Aware Corridor Generation without Predefined Reference Paths

arXiv:2607.29513v1 Announce Type: new Abstract: Generating safe corridors is essential for collision-free robotic motion planning, yet most existing methods rely on predefined reference paths, which b

safetyarxiv-cs-ro

How Hard Does It Think? Analyzing Step-Aware Reasoning Energy in LLM Chain-of-Thought Trajectories

arXiv:2607.28674v1 Announce Type: new Abstract: Understanding how computational effort is allocated across individual chain-of-thought (CoT) reasoning steps remains an open challenge: existing interpr

safetyarxiv-cs-ai

How to run big models on old hardware 30B at 22 tok/s on 6GB GPU and 16GB RAM

I have been working on this tool for months and there are a lot of new functionalities and tests that are going to be released in the next few weeks! The goal of the tool is to allow community members

model-releasesr-ollama

Hardware

How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure

A combined architecture using KAI Scheduler and vCluster enables multiple teams to run fully isolated Kubernetes tenant clusters on a shared GPU node, each with its own control plane, RBAC, CRDs, and

hardwarenvidia-developer

Hugging Face CEO Clément Delangue weighs in on the open-weight AI models debate and said it helped the company when it was hacked by an Open…

Clément Delangue, CEO of Hugging Face, said the company’s focus on open‑weight AI models helped it withstand a hacking incident involving an unreleased OpenAI model. He also noted that China is leadin

Hugging Face CEO says China is winning the AI race and dominating on open models https://www.cnbc.com/2026/08/03/hugging-face-china-ai-race-…

Hugging Face CEO says China is winning the AI race and dominating on open models https://www.cnbc.com/2026/08/03/hugging-face-china-ai-race-open-models.html?taid=6a70b9a7142a0e000189af30&utm_campaign=

.@huggingface CEO @ClementDelangue says a hack by OpenAI could have been 'way worse' if not for the company's defensive measures. He speaks …

On August 3, 2026, Hugging Face CEO Clement Delangue appeared on Bloomberg TV to discuss a hypothetical security incident involving OpenAI. He stated that the hack could have been “way worse” had Defi

.@huggingface CEO @ClementDelangue says the recent OpenAI-linked cyberattack highlights the growing risks posed by rapidly-evolving AI model…

.@huggingface CEO @ClementDelangue says the recent OpenAI-linked cyberattack highlights the growing risks posed by rapidly-evolving AI models. Speaking to @edludlow, Delangue says that open-source AI

Agents

Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use

arXiv:2607.28889v1 Announce Type: cross Abstract: Qualitative researchers increasingly encounter interaction corpora whose scale exceeds what manual coding alone can address, and large language models

agentsarxiv-cs-ai

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding

model-releasesarxiv-cs-cl

arXiv:2607.29196v1 Announce Type: new Abstract: Long-running multi-turn interactions with chatbots and agents are now common, and a correct response often depends on remembering earlier details, track

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity

arXiv:2607.28849v1 Announce Type: cross Abstract: Bilevel reinforcement learning (RL) is an important framework within the literature of RL that can be used to formalize various categories of problems

safetyarxiv-cs-ai

Local Ai

I benchmarked classic vector RAG vs Google's new OKF format vs both combined — same corpus, same 7 questions, all local (Ollama + ChromaDB)

Google Cloud published OKF (Open Knowledge Format) on June 12th — a spec for storing curated knowledge as a directory of markdown files with YAML frontmatter. One concept per file, linked to each othe

local-air-localllama

I compared MinerU, Granite-Docling, and PaddleOCR-VL on 12 PDF-parsing capabilities using 6 document types

model-releasesr-localllama

I tested them by sending the 6 documents, each meant to represent a different document type, through my own webapp and comparing every output against the source. All ran on the same L4 GPU. The docume

Agents

i doubt that a single person who has criticized me understands this. since i have been perfectly clear about this, that’s on them.

i doubt that a single person who has criticized me understands this. since i have been perfectly clear about this, that’s on them. @gabriberton Hmm, @ylecun always clarified he was talking about autor

agentsgary-marcus--x

I gave five different local LLMs a town. They invented Facebook and a duck-based credit bureau. (MIT, self-hosted, you don't play it — you watch it)

Each villager in Pepperton is a different model — a mistral, a qwen3, a qwen2.5, a phi4-mini, a llama3.2 — because model families have genuinely different temperaments, and the friction between them i

model-releasesr-ollama

Local Ai

I got tired of ad-filled mobile wrappers for Ollama, so I built PocketLLM Lite an open-source, offline Android client (Local GGUF, SKILL.md plugins, local RAG)

Hey, Like a lot of people here, I use local models via Ollama on my desktop/server and wanted a mobile client that actually felt responsive, worked offline, and respected privacy. Most apps on the Pla

local-air-ollama

Tutorials

'I ran my own benchmarks on it' seems to be pretty common comment around here. How about dedicating a thread for this and sharing?

Of course, the concern is that in the end, this thread will be fed into the models' training data, but I feel benchmarking isn't so open and very fragmented. submitted by /u/jinnyjuice [link] [comment

tutorialsr-localllama

I3DM: Implicit 3D-aware Memory Retrieval and Injection for Consistent Video Scene Generation

arXiv:2603.23413v2 Announce Type: replace Abstract: Despite remarkable progress in video generation, maintaining long-term scene consistency upon revisiting previously explored areas remains challengi

researcharxiv-cs-cv

Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design

model-releasesarxiv-cs-ai

arXiv:2607.28894v1 Announce Type: new Abstract: Computational cognitive modeling seeks to infer latent cognitive mechanisms underlying observed behavior. Bayesian inverse planning provides a principle

Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM

arXiv:2607.28635v1 Announce Type: new Abstract: In Natural Language Processing (NLP), dealing with underrepresented topics is challenging, especially in unsupervised tasks where clustering might not a

researcharxiv-cs-cl

Hardware

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations

arXiv:2607.29158v1 Announce Type: cross Abstract: We introduce implicit machine learning force fields (I-MLFFs), which replace explicit stacks of neural network layers with self-consistent fixed-point

hardwarearxiv-cs-ai

Implicit Reasoning for Large Language Model-based Generative Recommendation

arXiv:2606.14142v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly adopted as backbones for Generative Recommendation (GR), promising access to pretrained world kn

safetyarxiv-cs-ai

Improving scDiffusion with Sparsity-Biased Classifier-Free Guidance

arXiv:2607.29043v1 Announce Type: cross Abstract: Single-cell RNA sequencing (scRNA-seq) has become an essential tool in modern cellular biology, and generating accurate synthetic scRNA-seq data is be

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models

arXiv:2510.17136v2 Announce Type: replace Abstract: The generation of high-quality, diverse, and prompt-aligned images is a central goal in image-generating diffusion models. The popular classifier-fr

safetyarxiv-cs-lg

Incorporating data drift to perform survival analysis on credit risk

arXiv:2601.20533v2 Announce Type: replace-cross Abstract: Survival analysis has become a standard approach for modelling time to default by time-varying covariates in credit risk. Unlike most existing

safetyarxiv-cs-lg

Indeed: UK employers are creating jobs for senior staff in software engineering and IT, where AI enhances the value of experience, while cutting back elsewhere (Irina Anghel/Bloomberg)

Irina Anghel / Bloomberg: Indeed: UK employers are creating jobs for senior staff in software engineering and IT, where AI enhances the value of experience, while cutting back elsewhere — UK employers

industrytechmeme

Inference-time Trajectory Optimization for Structure-Preserving Manga Image Editing

model-releasesarxiv-cs-cv

arXiv:2603.27790v2 Announce Type: replace Abstract: We present a lightweight, training-free trajectory correction method that adapts a pretrained image editing model to each input manga image using on

InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation

model-releasesarxiv-cs-ai

arXiv:2607.29134v1 Announce Type: cross Abstract: Recent work suggests that relational database management systems (RDBMSs) can execute quantum circuit simulation by compiling the simulation into SQL

Information Processing by Neuron Populations in the Central Nervous System: A Theory of the Mathematical Structure of Data and Operations

arXiv:2309.02332v3 Announce Type: replace-cross Abstract: In the mammalian central nervous system, neurons are organized into populations communicating by spike trains propagating along axonal bundles

Introducing Sakana Namazu: An LLM API with Japanese-vibes! Today we’re rolling out an upgraded version of our LLM, Namazu, now available as …

Introducing Sakana Namazu: An LLM API with Japanese-vibes! Today we’re rolling out an upgraded version of our LLM, Namazu, now available as an API. Try Sakana Namazu API: https://sakana.ai/namazu 🐟 🐟

researchdavid-ha--x

Is China winning the AI race? @huggingface CEO @ClementDelangue thinks so – here's how he's utilizing foreign cybersecurity tools following …

Is China winning the AI race? @huggingface CEO @ClementDelangue thinks so – here's how he's utilizing foreign cybersecurity tools following the company's hack by rogue OpenAI agents: https://www.cnbc.

Is It Time for the Renaissance of Salient Object Detection in the Era of MLLMs?

model-releasesarxiv-cs-cv

arXiv:2607.29222v1 Announce Type: new Abstract: The zero-shot capabilities of multimodal large language models (MLLMs) are pushing salient object detection (SOD) beyond task-specific supervision. To d

JoVA: Unified Multimodal Learning for Joint Video-Audio Generation and Editing

arXiv:2512.13677v2 Announce Type: replace Abstract: In this paper, we present JoVA, a streamlined framework that unifies joint video-audio generation and editing. While existing methods often rely on

safetyarxiv-cs-cv

KAT Coder 2.5 dev: Do yourself a favor and try it!

model-releasesr-localllama

It is so good! I don't know why there aren't more people talking about it. Fewer tokens, faster and more accurate than Qwen 3.6 35b a3b. On my setup it's nearly as good as 27b, but 5x faster. And it c

Kinodynamic Motion Retargeting for Humanoid Locomotion via Multi-Contact Whole-Body Trajectory Optimization

arXiv:2603.09956v2 Announce Type: replace Abstract: We present the KinoDynamic Motion Retargeting (KDMR) framework, a novel approach for humanoid locomotion that models the retargeting process as a mu

safetyarxiv-cs-ro

Agents

Know It, Act on It: Investigating Memory Utilization in LLM Personalization

arXiv:2607.29433v1 Announce Type: new Abstract: As large language model (LLM) agents evolve into personalized companions, memory has emerged as a core capability. However, LLMs face a knowledge utiliz

agentsarxiv-cs-cl

Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning

arXiv:2607.29211v1 Announce Type: new Abstract: Large language models generate computationally expensive yet semantically void reasoning on beyond-capability tasks, creating risks where plausible-soun

researcharxiv-cs-cl

Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction

arXiv:2601.15037v2 Announce Type: replace-cross Abstract: Open-domain Relational Triplet Extraction (ORTE) aims to mine structured knowledge without predefined relation schemas. Large Language Models

Language Models Agree With Each Other, Not With Readers

model-releasesarxiv-cs-cl

arXiv:2607.29274v1 Announce Type: cross Abstract: Claims that language models homogenise are usually measured against human judgements collected for the study, which makes the human side an artifact o

LARA: Lightweight Adapters in the Residual Stream for Composable Adaptation and Alignment

model-releasesarxiv-cs-lg

arXiv:2607.28669v1 Announce Type: new Abstract: We present LARA (Lightweight Additive Residual Adaptation), a method for efficient adaptation that operates in the residual stream of a frozen model rat

Latent Lie-Poisson Neural Networks (LLPNNs): Discovering the motion of Lie-Poisson systems through observable data and latent dynamics

arXiv:2607.28939v1 Announce Type: new Abstract: Structure-preserving neural networks are essential for the long-term prediction of Hamiltonian systems from data. Many important Hamiltonian systems in

researcharxiv-cs-lg

Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection

model-releasesarxiv-cs-lg

arXiv:2512.22179v3 Announce Type: replace Abstract: Detecting previously unseen attacks remains a major challenge for machine learning-based intrusion detection systems. Deep models trained on network