All entries

An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks

arXiv:2607.26682v1 Announce Type: cross Abstract: Centrally-managed Wi-Fi solutions are increasingly leveraging Distributed Artificial Intelligence (AI) to predict key operational statistics of Access

researcharxiv-cs-lg

Safety

Anatomy Contextualized Adaption of CT Foundation Models

DGX agent

arXiv:2607.27154v1 Announce Type: new Abstract: CT vision-language foundation models have demonstrated promising performance across downstream tasks, but are typically trained with whole-volume repres

safetyarxiv-cs-cv

30 Jul 2026

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time

arXiv:2607.26647v1 Announce Type: new Abstract: While text-to-image diffusion models achieve impressive visual quality, they frequently struggle to maintain precise alignment with complex compositiona

safetyarxiv-cs-cv

And Grok 4.6 comes out in a week

model-releaseselon-musk--x

And Grok 4.6 comes out in a week BREAKING: Grok 4.5 ranked #1 on LaurenBench with a score of 56.9%, ahead of Claude Sonnet 5, GLM 5.2, Claude Opus 5, Kimi K3 and GPT-5.6. The benchmark tests real-worl

Answer from OpenAI

applicationsethan-mollick--x

Answer from OpenAI @emollick re ARC-AGI-3: human testers scored ~48% (ARC uploaded testers logs to HuggingFace some time ago, I believe). re GDPval: it’s close to saturated now, so we’re mostly lookin

Anthropic says it discovered three of its models had breached three organizations after launching a review in response to the OpenAI-Hugging Face incident (Anthropic)

Anthropic: Anthropic says it discovered three of its models had breached three organizations after launching a review in response to the OpenAI-Hugging Face incident — In a review of our cybersecurity

model-releasestechmeme

Industry

Anthropic says the models that breached three companies include Opus 4.7, Mythos 5, and an unnamed research model, and the earliest incidents date back to April (Robert McMillan/Wall Street Journal)

Robert McMillan / Wall Street Journal: Anthropic says the models that breached three companies include Opus 4.7, Mythos 5, and an unnamed research model, and the earliest incidents date back to April

industrytechmeme

APEX-Accounting

model-releasesarxiv-cs-cl

arXiv:2607.27189v1 Announce Type: new Abstract: We introduce APEX-Accounting, a benchmark built by Mercor in partnership with Ramp, to assess whether frontier models can do the real work of accountant

ARC-Encoder: learning compressed text representations for large language models

model-releasesarxiv-cs-cl

arXiv:2510.20535v2 Announce Type: replace Abstract: Recent techniques such as retrieval-augmented generation or chain-of-thought reasoning have led to longer contexts and increased inference costs. Co

Archetypes or ability? Clustering for modelling student mathematical competence

arXiv:2607.26063v1 Announce Type: cross Abstract: Personalised learning systems often assume that mathematical ability is combined of discrete abilities, acquired sequentially and dependent upon first

@ArtificialAnlys ok @openai gets it https://x.com/OpenAI/status/2082878156483219672

@ArtificialAnlys ok @openai gets it https://x.com/OpenAI/status/2082878156483219672 We are committed to pushing the model frontier across cost efficiency, capability, and speed. Starting today, we are

model-releasesswyx--x

As the benchmarks that test frontier AI on get more complex, we are losing one of the most important aspects of benchmarking: comparisons to…

applicationsethan-mollick--x

As the benchmarks that test frontier AI on get more complex, we are losing one of the most important aspects of benchmarking: comparisons to humans Validated benchmarks need to have human (ideally mul

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM

arXiv:2506.14766v3 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) frequently hallucinate by over-committing to spurious visual cues. Prior remedies-Visual and Instruct

researcharxiv-cs-cl

AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation

arXiv:2607.26726v1 Announce Type: new Abstract: Emotion Recognition in Conversation (ERC) aims to predict utterance-level emotions in dialogues and has largely advanced through context-centric modelin

researcharxiv-cs-cl

Atomic Chat signed the Open Weights letter! We believe everyone should be able to run AI on their own device. When a model is open, thousand…

Atomic Chat signed the Open Weights letter! We believe everyone should be able to run AI on their own device. When a model is open, thousands of teams fine-tune it, quantize it and build new tools on

safetyai21-labs--x

Automated Multilabel Mpox Research Classification with Explainable Transformer Models

arXiv:2607.26700v1 Announce Type: new Abstract: The Mpox outbreak remains a serious public health issue, with the WHO (World Health Organization) reporting increasing cases in some regions. Research o

applicationsarxiv-cs-cl

Automorphism-Induced Non-Canonicity in Top-k Explanations of Graph Neural Networks

arXiv:2607.26344v1 Announce Type: new Abstract: A gradient-based GNN explainer given a molecule with two chemically equivalent nitro groups assigns them attribution scores that are equal to the last b

b10184

mimo2: address MTP review feedback (#26228) Co-authored-by: tnhnyc 115956684+tnhnyc@users.noreply.github.com Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm6

b10186

ggml : Fix issue with kleidiai ci and stringop overflow warning (#26277) Signed-off-by: Jonathan Clohessy Jonathan.Clohessy@arm.com Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) ma

b10188

metal: fix memory unwire if model is freed without any GPU operations (#26082) metal: fix memory leak if model is freed without any GPU operations metal: run dummy work only if residency sets are used

b10189

Remove custom cpu op from the M3 graph, express with stock ops (#26297) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS I

b10192

sync : ggml Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu ar

b10194

ggml-cuda: Allow transpose-free gemmv computation (#26171) When matrix's weights are shaped 1xK is leverage a transpose-free computation to use mat_mul_vec_f. Website: https://llama.app macOS/iOS: mac

b10195

tests : avoid building get-model.cpp many times (#26317) tests : remove get-model.cpp tests : fix quant type selection Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Sil

b10196

llama-context : sync pending async copies before clearing embd_seq (#25676) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED mac

b10197

Test support for alternative conv layout (#25617) add bool cwhn = true to conv_2d test cases add layout check at graph building time extend layout checks for conv2d.cu kernel in CPU back-end kernel ne

b10198

vulkan: Support quantized concat (#25684) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Lin

b10199

server: support inp embd to generate next token (#26313) server: support embd for sampled token fix ~server_batch() Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silico

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens

arXiv:2607.26829v1 Announce Type: new Abstract: Many high-performing volumetric segmentation models maintain dense multi-scale feature maps, leading to high activation memory and inference cost. We pr

hardwarearxiv-cs-cv

Batten Down Your Packages: Mitigation Guidance for Supply Chain Compromise

model-releasesgoogle-cloud-ai

Written by: Kelli Vanderlee, Stuart Carrera For years, the cybersecurity industry's understanding of software supply chain compromise has been anchored by a few watershed events, including Russian cyb

BayesAME: Bayesian Active Model Evaluation

arXiv:2607.27023v1 Announce Type: new Abstract: Evaluating large generative models across benchmarks is time-consuming and computationally expensive. This drives the need for methods that can estimate

Benchmarked: MindControl for Llama.cpp

model-releasesr-localllama

I recently shared the original MindControl PoC (and on github) - sampler-level guided reasoning budgets for llama.cpp, nudging the model with self-aware statements about its own thinking budget instea

Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities

arXiv:2607.26581v1 Announce Type: new Abstract: Convolutional long short-term memory networks (ConvLSTMs) are widely used for precipitation forecasting, but most evidence for their performance comes f

researcharxiv-cs-lg

Best in Class: Stream PC Games and Study on the Same Laptop With GeForce NOW

Back to school means balancing assignments, deadlines and downtime. GeForce NOW makes it easy to have it all. With cloud gaming, everyday laptops used for class can also become GeForce RTX-powered gam

hardwarenvidia-blog

Between Gradient and Natural Gradient: A Continuum of LoRA Initializations

arXiv:2607.26247v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) fine-tunes large pretrained models at a fraction of the cost of full fine-tuning, but its performance depends strongly on how

BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization

model-releasesarxiv-cs-cv

arXiv:2607.26232v1 Announce Type: new Abstract: Background manipulation is a practical but under-specified image-forensics setting: the manipulated evidence can sit outside the salient foreground obje

Big unsaturated benchmarks that have this: ARC-AGI, the original GDPval (not GDPval-AA), METR long horizons, ASI cyber tasks, (Speaking of w…

applicationsethan-mollick--x

Ethan Mollick highlights that large, currently under‑explored benchmarks (e.g., ARC‑AGI, GDPval, METR long horizons, ASI cyber tasks) are growing in complexity, yet they increasingly lack systematic h

BioVLN: A Simulation Platform for Visual Language Navigation in Biomedical Laboratories

arXiv:2607.26914v1 Announce Type: new Abstract: Biomedical laboratory robots must navigate to instruments before performing experimental procedures. Existing embodied navigation platforms are designed

safetyarxiv-cs-ro

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

model-releasesarxiv-cs-cv

arXiv:2606.19651v2 Announce Type: replace-cross Abstract: Three-dimensional (3D) brain MRI is central to clinical neurology and neuro-oncology, where generative models could augment under-represented

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions

arXiv:2607.26955v1 Announce Type: cross Abstract: Minimax-optimal rates for multivariate distribution estimation are known to suffer from the curse of dimensionality. We propose a sparse Bayesian netw

researcharxiv-cs-lg

Tutorials

Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization

arXiv:2511.07210v3 Announce Type: replace Abstract: Clean-image backdoor attacks, which use only label manipulation in training datasets to compromise deep neural networks, pose a significant threat t

tutorialsarxiv-cs-cv

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility

arXiv:2607.26828v1 Announce Type: new Abstract: Large language models increasingly support scientific and algorithmic discovery through inference-time search over evaluated candidates. Existing adapti

Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration

model-releasesarxiv-cs-cv

arXiv:2603.24800v2 Announce Type: replace Abstract: In this paper, we uncover the hidden potential of Diffusion Transformers (DiTs) to significantly enhance generative tasks. Through an in-depth analy

Tutorials

CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information Regularisation

arXiv:2607.26752v1 Announce Type: new Abstract: Medical world models aim to learn a latent state of patient or organ physiology and a transition function that forecasts how that state evolves under in

tutorialsarxiv-cs-lg

Agents

Can AI agents conduct open-ended AI research? Early evidence from two case studies

arXiv:2607.27191v1 Announce Type: cross Abstract: Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is t

agentsarxiv-cs-lg

Can AI agents conduct open-ended AI research? Most evaluations of agents conducting AI research focus on narrow, verifiable tasks. But AI re…

Can AI agents conduct open-ended AI research? Most evaluations of agents conducting AI research focus on narrow, verifiable tasks. But AI research is often open ended. Researchers pick hypotheses, dec

hardwareyann-lecun--x

Can an open-source model perform like a foundation model? @Osmosis_AI is betting yes, using reinforcement learning and the dedicated @ycombi…

Osmosis_AI claims that an open‑source model can rival a foundation model by leveraging reinforcement learning techniques. To demonstrate this, they will use the Y Combinator‑dedicated GPU cluster on T

hardwaretogether-ai--x

CASIAL: Geometric Distortion Robust Image Watermarking

arXiv:2607.26729v1 Announce Type: new Abstract: Deep learning-based watermarking has shown strong robustness against non-geometric distortions, yet its performance under geometric transformations rema

safetyarxiv-cs-cv