All entries

AUC Maximization from Biased Positive-unlabeled Data with Confidence

arXiv:2609.10928v1 Announce Type: new Abstract: Maximizing the area under the receiver operating characteristic curve (AUC) is a standard approach to imbalanced binary classification. Although positiv

safetyarxiv-cs-lg

Content type

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Augustinian BabyLM: What Ostensive Definition Can and Cannot Teach a Small Language Model

DGX agent

arXiv:2609.11870v1 Announce Type: new Abstract: A language model normally begins training with random word embeddings: whatever 'banana' means must be learned from training corpora. I implement St. Au

model-releasesarxiv-cs-cl

11 Sept 2026

Hardware

Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System

arXiv:2609.10922v1 Announce Type: new Abstract: Auto-research agents have shown the potential to automate hypothesis generation, experiment execution, and iterative refinement. However, scaling this p

hardwarearxiv-cs-cl

Automated Identification of Competing Narratives in Political Discourse on Social Media

arXiv:2609.11202v1 Announce Type: new Abstract: Social media platforms have become central to shaping political discourse, serving as arenas where narratives form and evolve, influencing public opinio

researcharxiv-cs-cl

Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification

arXiv:2603.27325v2 Announce Type: replace Abstract: Accurate wound classification (WC) and boundary segmentation are essential for guiding clinical decisions in chronic and acute wound management. How

researcharxiv-cs-cv

Automatic Lyric Transcription for Greek Songs: Scaling and Task Composition Effects in Whisper Adaptation

arXiv:2609.11302v1 Announce Type: new Abstract: Automatic Lyric Transcription (ALT) remains substantially more challenging than speech recognition due to melodic variability, rhythmic irregularity, an

Autonomous-Flow-Based Generation

arXiv:2511.09902v3 Announce Type: replace Abstract: We show that using autonomous-flow-based generation, one can universally approximate orientation-preserving diffeomorphisms defined on the cube by N

agentsarxiv-cs-lg

Hardware

Ayar Labs bags $150M in additional late-stage funding to help make bigger AI chip clusters

Networking technology startup Ayar Labs Inc. said today it has extended its recent late-stage funding round to 650 million after raising an additional 150 million from an unnamed investor. The company

hardwaresiliconangle

b10902

opencl: add A8 Q4_0 mm binary kernel support (#28268) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/46774832 macOS/iOS: macOS Apple Silicon (arm64) macOS

b10903

vulkan: fix data race and OOB access in argsort(large) (#28705) argsort had a data race in the inner loop, which VVL caught. But I don't think this was causing failures in practice. argsort_large has

b10905

CUDA/HIP: Flash Attention tuning (gfx1201) (#28102) HIP: enable mma FA for head size 256 on RDNA4, tune configs Assisted-by: Claude Assisted-by: Codex HIP: prefer whole-tile FA grids over stream-k on

b10906

server: fix speculation after an image (#28715) server: fix speculation after an image Pass the actual position to the drafter after an image, instead of the token count. Affects every drafter, not ju

b10907

model : fix MTP context kv cache allocation for deepseek2, glm4moe, … (#28630) model : fix MTP context kv cache allocation for deepseek2, glm4moe, cohere2moe architectures (#28626) model: add inverse

b10908

metal : fix idle threads in the remaining iq mul_mv kernels for ne00 < 1024 (#28692) metal : fix idle threads in the remaining iq mul_mv kernels for ne00 < 1024 Generalize the row split from #28086 to

b10909

metal : single-source fusion table + fusion debug rework (#28164) metal : rework fusion patterns into a single table All fusable op patterns for the Metal backend are now declared once in a fusion tab

b10917

cmake : skip PCH for llama-server PCH when using MSVC (#28763) This commit fixes an issue that I introduced when adding PCH (precompiled headers) in Commit 3bcfeb7 ('cmake : add PCH and unity build to

Applications

Bayesian quantum sensing using graybox machine learning

arXiv:2601.17465v2 Announce Type: replace-cross Abstract: Quantum sensors offer significant advantages over classical devices in spatial resolution and sensitivity, enabling transformative application

applicationsarxiv-cs-lg

Best Local Models for Claude Code with 8gb vram

Tested on Laptop with RTX 5060 8gb vram and 16gb ram Claude code - autocompact = false Ollama - Flash attention = 1, kv cache = q8_0 Gemma4 12B 64K - https://ollama.com/SetneufPT/Gemma4-12B-IT-QAT_Q4_

model-releasesr-ollama

Applications

Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions

arXiv:2609.11126v1 Announce Type: new Abstract: Verification and validation (V&V) of classification models is crucial to enable a wide range of sensor processing applications. Currently, the V&V proce

applicationsarxiv-cs-cv

Beyond Noise Steering: Dual-Latent Space Reinforcement Learning for Generative Robot Policy

arXiv:2609.11270v1 Announce Type: new Abstract: Pretrained generative robot policies learn expressive action priors from demonstrations. However, existing reinforcement learning methods only steer the

safetyarxiv-cs-ro

Beyond Prompting: Efficient and Robust Contextual Biasing for Speech LLMs via Logit-Space Integration (LOGIC)

arXiv:2601.15397v3 Announce Type: replace-cross Abstract: The rapid emergence of new entities -- driven by cultural shifts, evolving trends, and personalized user data -- poses a significant challenge

Beyond Solver Verdicts: Generative Reward Models for Autoformalization

arXiv:2609.11085v1 Announce Type: cross Abstract: Neurosymbolic systems rely on mathematical solvers to guarantee reasoning correctness, yet solvers are fundamentally blind to whether a formal transla

agentsarxiv-cs-cl

Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context Learning

arXiv:2609.10177v1 Announce Type: new Abstract: In-context learning (ICL) is widely used in multimodal large language models (MLLMs) and achieves strong performance across a wide range of multimodal t

safetyarxiv-cs-ai

Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking harness that measures cost per correct answer,

agentsaws-ml-blog

Beyond Training: A Feasibility Taxonomy for Inference-Time AI Governance

arXiv:2609.10105v1 Announce Type: cross Abstract: Compute governance today is a governance of training: the thresholds, reporting requirements, and frontier-AI regimes now in force attach to training

agentsarxiv-cs-ai

Beyond Visual Quality: Evaluating Physical Consistency under Ego-Motion with EgoGenEval

model-releasesarxiv-cs-cv

arXiv:2609.11172v1 Announce Type: new Abstract: Recent visual generators produce high-fidelity images yet often violate physical consistency under ego-motion, limiting their use for spatial reasoning

Local Ai

Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech

arXiv:2609.11786v1 Announce Type: new Abstract: Automatic speech recognition (ASR) systems and audio language models (audio LMs) now report low error rates on monolingual benchmarks, but their behavio

local-aiarxiv-cs-cl

Local Ai

Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

arXiv:2609.11135v1 Announce Type: new Abstract: Short-term photovoltaic (PV) power and global horizontal irradiance (GHI) forecasts are essential for effective dispatch, reserve scheduling, and grid o

local-aiarxiv-cs-lg

BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification

arXiv:2509.24425v2 Announce Type: replace Abstract: The proliferation of Internet-of-Things (IoT) devices has led to an unprecedented volume of multivariate time series (MTS) data, requiring efficient

researcharxiv-cs-lg

Tutorials

Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

arXiv:2609.11281v1 Announce Type: cross Abstract: Learning and decision-making in animals are often modeled as Bayesian processes, where sensory evidence is integrated with prior beliefs to guide beha

tutorialsarxiv-cs-lg

Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens

arXiv:2609.11877v1 Announce Type: cross Abstract: Many biological discovery problems require experiments to be selected sequentially under constrained budgets. CRISPR screening is a prominent example,

Black-Box Membership Inference via Word-Level Probability Estimation

model-releasesarxiv-cs-lg

arXiv:2609.10611v1 Announce Type: cross Abstract: Membership inference attacks (MIAs) have emerged as critical tools for auditing privacy risks in large language models (LLMs), aiming to determine whe

Black-Box Red Teaming of Agentic AI: A Taxonomy-Driven Framework for Automated Risk Discovery

arXiv:2609.09647v1 Announce Type: new Abstract: Agentic systems are rapidly moving to production, where they read untrusted inputs, call tools with real permissions, and act autonomously, expanding th

agentsarxiv-cs-ai

BodyCam-VQA: Enhanced Body-Worn Camera Video Captioning via Multimodal Reasoning and Probe Question Generation

arXiv:2609.10815v1 Announce Type: cross Abstract: Police body-worn camera (BWC) footage has emerged as a critical aspect of law enforcement that ensures legal transparency, officer accountability, and

safetyarxiv-cs-cl

Brain-PACE: A Deep Siamese MRI Framework for Modelling Longitudinal Brain Acceleration

arXiv:2609.11378v1 Announce Type: new Abstract: Brain age estimation has become a popular research proxy for assessing brain health and disease, yet longitudinal trajectories of brain ageing are still

safetyarxiv-cs-cv

Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution

model-releasesarxiv-cs-cv

arXiv:2609.11518v1 Announce Type: cross Abstract: Evolvable-Substrate HyperNEAT (ES-HyperNEAT), a bio-inspired indirect encoding that determines neuron placement and connection weights from spatial co

BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registration

arXiv:2609.11472v1 Announce Type: new Abstract: Reliable non-rigid point cloud correspondences are important for deformable anatomical registration, embodied perception and manipulation, and dynamic 3

researcharxiv-cs-cv

Local Ai

BruNet: A Cross-Domain Transfer Framework for Bruise Segmentation

arXiv:2609.11463v1 Announce Type: new Abstract: Segmenting bruises is a challenging task in medical imaging due to limited data and annotations, diffuse boundaries, and highly variable appearance. In

local-aiarxiv-cs-cv

Build interactive MCP Apps using Amazon Bedrock AgentCore

model-releasesaws-ml-blog

Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience acro

Hardware

Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs

arXiv:2609.11744v1 Announce Type: cross Abstract: Prefix caching can reduce the time to first token (TTFT) of long-context LLM requests by reusing previously computed key-value (KV) states, but for sh

hardwarearxiv-cs-lg

Building Supervision into Hebbian Plasticity through Spike Agreement

model-releasesarxiv-cs-lg

arXiv:2601.08526v2 Announce Type: replace-cross Abstract: Supervised learning in spiking neural networks (SNNs) typically requires either gradient-based backpropagation, which sacrifices the Hebbian,

Byzantine-Robust Federated Fire Detection with a Rotating Coordinator

arXiv:2609.10647v1 Announce Type: new Abstract: We study the application of federated learning (FL) to indoor fire detection. Such fire-detection systems use edge cameras that record sensitive footage

researcharxiv-cs-lg

CamPilot: A Multi-Agent Cinematic Assistant for Camera-Controlled Movie Generation

model-releasesarxiv-cs-cv

arXiv:2609.10943v1 Announce Type: new Abstract: The integration of large language models (LLMs) into video generation has enabled rapid text-to-video creation and improved visual quality. However, it

Can AI Agents Deliver Verifiable Network-Wide Outcomes Across Authority Boundaries?

arXiv:2609.10181v1 Announce Type: cross Abstract: AI agents are increasingly involved in network automation, where they can initiate configuration changes through mediated operational interfaces and a

agentsarxiv-cs-ai

Can AI Agents Detect and Repair Artifact Drift in Network Experiments?

model-releasesarxiv-cs-ai

arXiv:2609.09849v1 Announce Type: cross Abstract: In recent years, AI agents have evolved into capable assistants that carry out multi-step tasks in digital environments. The network systems community

Can LLMs Normalize Databases? A Benchmark and Multi-Agent Framework for Schema Normalization

arXiv:2609.11141v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used to generate structured outputs, but their reliability remains unclear when those outputs must satisfy

CAP: Continuously Adaptive Perception-Blind Humanoid Locomotion via Learned Denoising

arXiv:2609.11553v1 Announce Type: new Abstract: Humanoid locomotion across complex terrain demands forward-looking exteroception to anticipate obstacles, yet this signal is unreliable in real-world de

safetyarxiv-cs-ro

Caption-once, Frames-on-Demand: Visual-Need Routing for Budget-Aware Agentic Long Video Understanding

arXiv:2609.11899v1 Announce Type: new Abstract: Long-video understanding on edge devices must reason over hours of content under tight compute and bandwidth budgets. Subsampling visual tokens loses te

agentsarxiv-cs-cv