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AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification

arXiv:2509.23454v2 Announce Type: replace-cross Abstract: Biomedical audio signals, such as phonocardiograms (PCG), are inherently rhythmic and contain diagnostic information in both their spectral (t

safetyarxiv-cs-lg

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Safety

AURORA: Active Uncertainty-Driven Re-Orientation for In-Hand Reconstruction

DGX agent

arXiv:2609.08493v1 Announce Type: cross Abstract: Observing objects grasped by a robot hand is challenging due to severe visual occlusions. Although in-hand manipulation can expose hidden surfaces, ex

safetyarxiv-cs-cv

9 Sept 2026

Automate user-level custom permissions for Amazon Quick

model-releasesaws-ml-blog

Amazon Quick custom permissions let you enforce least-privilege access by toggling features per user. This post walks through four patterns to automate custom permissions across the user lifecycle: a

Automated Chest CT Protocol Selection via Large Language Model Derived Text Embeddings from Imaging Request Text

arXiv:2609.07986v1 Announce Type: new Abstract: Purpose: Accurate CT protocol selection is critical for diagnostic quality and patient safety, yet the current process is manual, time-consuming, and pr

Automatic Red Teaming for Implicit Vulnerabilities of Text-to-Image Models

arXiv:2609.06094v1 Announce Type: new Abstract: Red-teaming Text-to-Image (T2I) models is essential for safe deployment, yet it remains particularly challenging against implicit adversarial prompts. U

safetyarxiv-cs-cv

AV-SafetyBench: A Safety Benchmark for Text-to-Audio-Video Generation

arXiv:2609.06991v1 Announce Type: new Abstract: Recent text-to-audio-video (T2AV) models jointly generate video, speech, sound effects, and ambience from a single text prompt. This capability poses ne

AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions

arXiv:2609.07917v1 Announce Type: new Abstract: Counterfactual explanations formalize 'what-if' scenarios by identifying modifications to an input instance that obtain a desired alternative prediction

AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning

arXiv:2609.05925v1 Announce Type: new Abstract: Pose-free feed-forward 3D Gaussian Splatting enables novel view synthesis from uncalibrated multi-view images. Although more views should improve perfor

researcharxiv-cs-cv

AXS-Net: Interpretable Deep Unfolding for Hyperspectral Image Denoising via Spectral Basis Unmixing and Structured Noise Refinement

arXiv:2609.08777v1 Announce Type: new Abstract: Hyperspectral images (HSIs) are often degraded by mixed noise, including band-dependent Gaussian perturbations and structured artifacts such as stripes,

researcharxiv-cs-cv

b10868

Add IQ type handling for MoE (#28476) Co-authored-by: cwriter cwriter@localhost Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/46124981 macOS/iOS: macOS Ap

b10869

tests : use less threads for data initialization (#28325) tests : use 1 thread for data initialization cont : scale threads with number of elements cont : adjust Website: https://llama.app Attestation

b10870

vulkan: add f16 B-type matmul pipelines and warp tile size tuning for Intel coopmat1 (#27471) vulkan: add f16 B-type matmul pipelines and warp tile size tuning for Intel coopmat1 simplify mmp selectio

b10871

vulkan: add dedicated iq4_xs mat-vec shader (#28426) vulkan: add dedicated iq4_xs mat-vec shader Dedicated mul_mat_vec_iq4_xs for the dmmv path, replacing the generic fallback. ~+6-17% token generatio

b10872

jinja: treat a null left operand of in as a plain lookup (#28620) Templates that default an optional variable to none and then test its membership in a map hit an error, while the same expression is a

b10873

mtmd: propagate video ID to bitmap (#28601) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/46201259 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Sili

b10874

model: fix granite3 moe unknown parameter count (#28632) Signed-off-by: Aaron Teo aaron.teo1@ibm.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/4620980

b10875

args: officially deprecate --mmap|mlock|dio (#28334) Signed-off-by: Aaron Teo aaron.teo1@ibm.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/46228590 ma

b10876

CUDA: replace GGML_FA_ALL_QUANTS with GGML_FA_QUANTS, more control over what is compiled (#28079) CUDA: add configurable FA quant combinations Assisted-by: Codex remove all flags but , add runtime fal

b10877

CUDA: size routed MoE MMQ N-tiles from typical expert width on RDNA3 (#28552) Recreated from #24546 Co-authored-by: Carl Philipp Klemm carl@uvos.xyz CUDA: pick MMQ tile size against ncols_opt set on t

b10878

llama : use int32_t for llama_sampler_chain_n return type (#28631) Contributes to #4574 Co-authored-by: linsen linsen@insta360.com Website: https://llama.app Attestations: https://github.com/ggml-org/

b10881

vulkan: Convert FILL to distribute workgroups in 2D to avoid exceeding maxComputeWorkGroupCount (#28592) divide workload to 2D This is to workaround FILL exceeding maxComputeWorkGroupCount for Intel G

b10883

vulkan: use spec constant for matrix matrix multiplication A-type (#25773) vulkan: use spec constant for mul mat type_a vulkan: use map for mul_mm shapes cleanup fix indentation fix cm2 and shmem init

Back to the Feature: Zero-Shot 6DoF Pose Estimation via Dense Local Features

arXiv:2609.06726v1 Announce Type: new Abstract: We present B2TFPose, a training-free zero-shot method for 6DoF pose estimation of unseen objects from RGB images. Using a single frozen DINOv3 vision tr

BAFF: Bid-Aware Filter Family for Mitigating Training Data Interference in RTB A/B Tests

arXiv:2609.08725v1 Announce Type: new Abstract: In online A/B tests for real-time bidding (RTB), control and treatment models are typically trained on a shared serving log that includes data generated

safetyarxiv-cs-lg

Tutorials

BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards

arXiv:2510.09596v2 Announce Type: replace Abstract: Today's generative models thrive with large amounts of supervised data and informative reward functions characterizing the quality of the generation

tutorialsarxiv-cs-lg

Agents

Banger report from Microsoft. (bookmark it) They show that it's possible to build competitive small coding agents without traditional distil…

Banger report from Microsoft. (bookmark it) They show that it's possible to build competitive small coding agents without traditional distillation from frontier models. This is a big deal! The work de

agentsdair-ai--x

BanglaMemeX: Advancing Cultural Metaphoric Image Interpretation in Bangla with a Multimodal Explainable Dataset

arXiv:2609.08029v1 Announce Type: cross Abstract: Vision Language Models have achieved strong performance on multimodal benchmarks, yet their ability to reason about culturally grounded and metaphor-r

BarkNet-Lite: A Lightweight Texture and Colour Network with the BarkBD Benchmark for Bark-Based Tree Species Recognition in Bangladesh

arXiv:2609.07600v1 Announce Type: new Abstract: Tree species recognition supports forest inventory and biodiversity monitoring but still depends on scarce taxonomic expertise. Bark is visible year-rou

Bayesian Matrix-Valued Graphs for Context-Dependent Multivariate Relationships

arXiv:2609.08055v1 Announce Type: cross Abstract: Many scientific graphs attach several variables to each node, so a single scalar edge weight cannot describe direction-dependent interactions. We mode

BEFORE THE FLIP: Measuring Hidden Score Shifts In Quantized Vision Language Models Before The Answer Changes for Visual Question Answering

arXiv:2609.06922v1 Announce Type: new Abstract: Quantization makes vision language models (VLMs) cheaper to store and run by using fewer bits to represent their weights. While unchanged answers on vis

Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment

arXiv:2609.06667v1 Announce Type: new Abstract: Adaptive dosing requires policies that reduce tumor burden without excessive toxicity. Learned dosing policies are typically judged against historical o

safetyarxiv-cs-lg

Tutorials

Beliefs and Behavior in Language Models

arXiv:2609.07943v1 Announce Type: cross Abstract: There is significant uncertainty about whether abstractions like beliefs or desires usefully describe the behavior of large language models (LLMs). In

tutorialsarxiv-cs-lg

Benchmarking Dexterity of Multifingered Robot Hands: A Review and Perspective

model-releasesarxiv-cs-ro

arXiv:2609.05585v1 Announce Type: new Abstract: Robot hands are a key interface between AI and the physical world, making advances in robotic dexterity essential to realizing the vision of physical AI

Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench

arXiv:2609.05418v1 Announce Type: cross Abstract: Machine learning training workloads place unique demands on storage systems, yet most existing benchmarks focus on computational throughput rather tha

Best-of-Both Worlds for linear contextual bandits with paid observations

arXiv:2510.07424v3 Announce Type: replace Abstract: We study linear contextual bandits with paid observations, where at each round the learner observes a context, selects an action, and may pay a fixe

Agents

Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation

arXiv:2609.07720v1 Announce Type: new Abstract: Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency in both visual identity and character behavior-req

agentsarxiv-cs-cv

Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators

arXiv:2609.05860v1 Announce Type: new Abstract: Neural operators that accept arbitrary meshes are often treated as geometry-general, but unseen domain topology changes both the invariant and decaying

Local Ai

Beyond Classification: Structured Supervision Aligns Visual Evidence with Medical Semantics

arXiv:2609.05937v1 Announce Type: new Abstract: Vision Transformers (ViTs) have shown immense potential in medical image analysis. However, standard pre-training via global image classification suffer

local-aiarxiv-cs-cv

Tutorials

Beyond embedding: How to secure AI/BI Dashboards for every viewer

An embedded AI/BI dashboard can be securely shared with multiple viewers while ensuring that each viewer can see only their authorized rows. This protection is achieved through group‑based row‑level s

tutorialsdatabricks

Beyond Gait: Person Identification from Millimeter-Wave Point Clouds Across Activities of Daily Living

arXiv:2609.08818v1 Announce Type: new Abstract: Person identification from millimeter-wave (mmWave) point clouds has mainly relied on gait. Indoor walking, however, is often brief and interrupted, whi

researcharxiv-cs-cv

Beyond Retraining-Free MoE Compression: A Cost-Normalized Study of Post-Compression Adjustment

arXiv:2609.06076v1 Announce Type: new Abstract: Retraining-free MoE compression reduces deployment memory by pruning or merging experts, but often treats the compressed checkpoint as the final artifac

Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing Degradation

arXiv:2609.07126v1 Announce Type: cross Abstract: In world model planning, sensing inputs pass through an encoder and predictor before affecting planner decisions, so final task success alone cannot r

Local Ai

Beyond the Matrix Sign: Quadratic Spectral Descent

arXiv:2609.07597v1 Announce Type: new Abstract: Muon can be interpreted as optimizing a linear local objective over a spectral-norm ball. This gives a matrix-sign update that preserves the singular di

local-aiarxiv-cs-lg

Beyond the Verdict: Evidence-Aligned Evaluation of Visual Prompt-Injection Guardrails

arXiv:2609.05535v1 Announce Type: new Abstract: Verdict-only evaluation does not reveal whether a vision-language model (VLM) used the visual evidence that should support its decision. We study this p

Beyond Worst-Case Coreset Bounds for k-Clustering via Determinantal Sampling

arXiv:2609.06394v1 Announce Type: cross Abstract: Massive datasets in modern machine learning have made data reduction a central challenge, particularly for clustering tasks where memory and computati

Bi-HYCO: Bi-Objective Cooperative Learning for PDE Parameter Identification under Fragmented Observations

arXiv:2609.06511v1 Announce Type: new Abstract: Physical and synthetic models may describe complementary aspects of the same PDE-governed system while receiving different, possibly fragmented, observa

Applications

BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes

arXiv:2604.06589v2 Announce Type: replace Abstract: Bimanual dexterous grasping is a fundamental and promising area in robotics, yet its progress is constrained by the lack of comprehensive datasets a

applicationsarxiv-cs-ro

BIFTA: Brain-Inspired Few-Shot Tactile Adaptation for Unknown Sensors

arXiv:2609.08673v1 Announce Type: new Abstract: Advances in tactile sensing have made contact-rich perception possible, accelerating progress in robotic manipulation, material understanding, and embod

researcharxiv-cs-ro