News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow llama.cpp releases dev-tools 1mo ago b10793 llama: fix whole source code rebuilt on each new commit ( #28278 ) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/45114012 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64)… 22 r/LocalLLaMA community 1mo ago Introducing Quartermaster, an open source local AI platform designed for ease of use that does not sacrifice customizability It started as a fork of llama-swap , but I have been building it out for myself since then as a convenient tool for all my local AI needs, and by now it has drifted far enough to be its own thing. The main idea is that you point it at your models folder and it configures things… 6 arXiv — Machine Learning research 1mo ago SMart: A Multi-source Multi-phase Time Series Representation Transfer Framework arXiv:2609.02203v1 Announce Type: new Abstract: Time series representation learning (TSRL) has attracted growing research interests in recent years. Two recent explorations in TSRL are: i) exploiting a transformer-based framework to learn time series; ii) instead of using only… 29 arXiv — Machine Learning research 1mo ago DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models arXiv:2609.02468v1 Announce Type: new Abstract: We explore predicting eCommerce user preferences for product aspects such as brand, size, and color - a task we define as Aspect Affinity. Solving this task improves customer understanding and enables fine-grained personalization… 10 arXiv — Machine Learning research 1mo ago RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection arXiv:2609.02497v1 Announce Type: new Abstract: Zero-shot graph anomaly detection seeks to deploy a detector trained on source graphs to unseen, unlabeled targets, yet domain shift can make source-derived notions of normality unreliable. We introduce RINSE (Robust Iterative… 13 arXiv — Machine Learning research 1mo ago Source Distribution Estimation by Posterior Averaging arXiv:2609.02622v1 Announce Type: new Abstract: Simulation-based science often requires a distribution over simulator parameters whose push-forward reproduces a set of real observations: this is the source distribution estimation (SDE) problem. Existing methods fit the source… 4 arXiv — Machine Learning research 1mo ago Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models arXiv:2609.02638v1 Announce Type: new Abstract: Knowledge graphs have become an important source of structured knowledge for Web applications, including search, question answering, and recommender systems. In these applications, link prediction can serve either as a prediction… 38 arXiv — Machine Learning research 1mo ago H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression arXiv:2609.02684v1 Announce Type: new Abstract: Deploying 3D point cloud models on edge hardware such as the NVIDIA Jetson Orin Nano is severely constrained by compute and memory budgets. Existing compression methods require access to the model's original source code, rendering… 7 arXiv — Machine Learning research 1mo ago When Literature Data Mislead Artificial Intelligence in Materials Discovery arXiv:2609.01621v1 Announce Type: cross Abstract: Artificial intelligence (AI) increasingly treats scientific literature as a data source for building databases, training predictive models, and guiding discovery. Yet literature-derived datasets often assume that reported… 8 arXiv — Machine Learning research 1mo ago Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search arXiv:2609.01628v1 Announce Type: cross Abstract: E-commerce search ranking must balance multiple objectives--relevance, user engagement, and platform revenue--when allocating impression slots to competing listings. Estimating the expected revenue component is well understood… 11 arXiv — NLP / Computation & Language research 1mo ago SpeakPay: Domain-Adaptive LoRA Fine-Tuning of Whisper for Low-Resource Nepali Financial Speech Recognition arXiv:2609.01737v1 Announce Type: new Abstract: Mobile payment applications in Nepal are graphically mediated and largely inaccessible to visually impaired users. This paper presents SpeakPay, a voice-first digital wallet, and documents the central technical contribution: a… 26 arXiv — NLP / Computation & Language research 1mo ago Breadth Beats Depth: Improving GCG-Based Jailbreak Optimization with Breadth-Oriented Suffix Search arXiv:2609.02172v1 Announce Type: new Abstract: Optimization-based jailbreak attacks such as Greedy Coordinate Gradient (GCG) achieve strong effectiveness and transferability by optimizing adversarial suffixes on white-box source models. However, existing GCG-based methods rely… 10 arXiv — NLP / Computation & Language research 1mo ago Before the Script, Set the Stage: How Worldview Simulation Amplifies Psychologically Grounded Persuasion in Multi-Turn Jailbreaking arXiv:2609.02414v1 Announce Type: new Abstract: Multi-turn jailbreak attacks demonstrate that harmful intent can be distributed across dialogue, yet existing methods obscure what conversational mechanisms drive vulnerability. We introduce BLUEPRINT, a safety-evaluation framework… 37 arXiv — NLP / Computation & Language research 1mo ago HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks arXiv:2609.02772v1 Announce Type: new Abstract: Low-resource authorship style transfer (LAST) aims to rewrite text into the style of an arbitrary target author using only a few reference examples while preserving the original meaning. Existing methods often struggle to achieve… 33 The Information — AI news-outlet 1mo ago Moonshot AI Files Confidentially for Hong Kong IPO Moonshot AI, whose Kimi K3 open-source model has become a global hit, has filed confidentially an application for a Hong Kong initial public offering, Chinese media outlet LatePost reported Wednesday. Moonshot’s path to its IPO hasn’t been easy. The company went through an… 8 The Information — AI news-outlet 1mo ago Why I’m Launching The Information’s AI Show, AI Deep Dive The Information has become the most trusted source on the AI business by breaking news about the biggest deals in the industry. Now we’re expanding that coverage with a new show called “AI Deep Dive” that will give you a more sophisticated understanding of the technology itself.… 19 Hugging Face Daily Papers research 1mo ago Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You Abstract CASTER enables gradient-free test-time adaptation for frozen models by transporting source class distributions via affine transformations in a discriminative subspace, with a transportability certificate to gate unreliable updates. Generated by… 10 r/MachineLearning community 1mo ago Most open-source AI detectors can't hold a 0.5% false-positive rate [P] We needed to know where the open-source AI-detection field actually stands, so we ran every notable open detector through the same protocol. Setup: - Public data only: Jabarian & Imas 2025 (NBER), Liang 2023 TOEFL essays, a 1,060-text frontier set (GPT-5.x, Claude Opus 5, Gemini… 14 llama.cpp releases dev-tools 1mo ago b10754 opencl: fix out‐of‐bound reads in the Adreno image kernels ( #27632 ) opencl: clamp the q4_K decode GEMV's fetch row on a padded x-grid opencl: enforce the tiling contract of the image KQ/KQV GEMMs opencl: decide the image KQ/KQV split at the dispatch, not from strides Website:… 26 arXiv — Machine Learning research 1mo ago Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training arXiv:2609.00047v1 Announce Type: new Abstract: Graph prompt learning is an effective paradigm to adapt pre-trained graph models to downstream tasks in low-resource scenarios. However, existing multi-task graph pre-training frameworks generally use randomly initialized prompts,… 7 arXiv — Machine Learning research 1mo ago REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent arXiv:2609.00049v1 Announce Type: new Abstract: Post-training quantization (PTQ) is essential for deploying large language models (LLMs) under strict resource constraints. State-of-the-art PTQ methods quantize each layer with a single closed-form second-order solver: to remain… 31 arXiv — Machine Learning research 1mo ago Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding arXiv:2609.00097v1 Announce Type: new Abstract: The development of long-context Large Language Models (LLMs) is constrained by the memory bandwidth bottleneck and quadratic complexity of the attention mechanism during decoding. To overcome the inherent trade-offs between the… 6 arXiv — Machine Learning research 1mo ago Context Window Failures in Relational Foundation Models arXiv:2609.00460v1 Announce Type: new Abstract: Recent Relational Deep Learning architectures have been proposed as foundation models for multi-table relational data, yet they impose constrained neighborhood budgets that force row truncation when an entity has many related… 15 arXiv — Machine Learning research 1mo ago Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing arXiv:2609.00552v1 Announce Type: new Abstract: Existing coded-computing designs do not explicitly exploit the intrinsic structure of the input data. In communication systems, statistical structure and redundancy are often removed through source coding (or compression) before… 22 arXiv — Machine Learning research 1mo ago How Do Language Models Choose Between Context and Memory? arXiv:2609.00753v1 Announce Type: new Abstract: When contextual information conflicts with the knowledge stored in model parameters, activation directions can be used to decode and steer which source the model follows. However, steering along a direction does not establish… 27 arXiv — Machine Learning research 1mo ago Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation arXiv:2609.00762v1 Announce Type: new Abstract: Parameter-efficient fine-tuning is usually framed as a question of how many parameters to update. Under a severe trainable-state budget, however, where those coefficients act is equally consequential. We study this choice through… 31 arXiv — Machine Learning research 1mo ago When Does Online Adaptation Pay on the Edge? A Leakage-Free Evaluation of Warmup, Learning-Rate Selection, and Resource Trade-offs for Time-Series Forecasting arXiv:2609.01126v1 Announce Type: new Abstract: Online adaptation can help edge time-series forecasting under distribution drift, but its measured benefit is sensitive to evaluation choices. We study six public multivariate streams, including building-sensor and smart-meter… 16 arXiv — Machine Learning research 1mo ago CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection arXiv:2609.01425v1 Announce Type: new Abstract: Voucher abuse poses a major challenge in e-commerce, where malicious users exploit promotional vouchers for profit. Unfortunately, fraud patterns evolve rapidly over time and across regions, causing distribution shifts that degrade… 38 arXiv — NLP / Computation & Language research 1mo ago NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings arXiv:2609.00256v1 Announce Type: new Abstract: LLM-based diagnostic systems achieve high semantic accuracy on benchmarks, but open-ended evaluation on clinically uncommon presentations reveals a systematic gap between headline accuracy and verifiable clinical reliability. We… 29 arXiv — NLP / Computation & Language research 1mo ago The Curse of Multilinguality in Lexical Normalization arXiv:2609.00329v1 Announce Type: new Abstract: Lexical normalization rewrites the noisy, non-standard words that fill user-generated text (tmrw, u, gr8) into their standard forms. Because labelled data is scarce for most languages, a popular shortcut is to train a single model… 15 arXiv — NLP / Computation & Language research 1mo ago From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education arXiv:2609.00344v1 Announce Type: new Abstract: Translation students need to learn both how to use translation technologies and how to judge the choices those technologies make available. This article presents LoopCAT, an Apache-2.0-licensed, local-first computer-assisted… 26 arXiv — NLP / Computation & Language research 1mo ago Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-Calling arXiv:2609.00949v1 Announce Type: new Abstract: Multi-turn tool calling is a core evaluation scenario for large language model (LLM) agents. On public tool-calling benchmarks, open-weight models now approach or even surpass closed-source frontier models in aggregate accuracy.… 36 arXiv — NLP / Computation & Language research 1mo ago Inspicio: Open-Vocabulary, LLM-Based Sense Retrieval for Historical Languages arXiv:2609.00998v1 Announce Type: new Abstract: Word Sense Disambiguation has advanced rapidly for English and a handful of well-resourced modern languages, but it continues to assume the existence of a sense inventory and a word-to-sense mapping in the source language (Navigli,… 31 arXiv — NLP / Computation & Language research 1mo ago OUTLETS: Output-Length Prediction from Speculative Decoding Backbones arXiv:2609.01068v1 Announce Type: new Abstract: The heavy-tailed distribution of output lengths in Large Language Model (LLM) serving poses major challenges for resource provisioning and cluster scheduling. Although output-length prediction can mitigate these issues, existing… 17 Hugging Face Daily Papers research 1mo ago DiagEvo: Diagnosis-Guided Self-Evolution via Hierarchical Error Memory Abstract DiagEvo improves language-model self-evolution by deriving training direction from internal failure history via hierarchical error-cause memory and double-confidence filtering, outperforming external-resource baselines. Generated by thinkingmachines/Inkling-Small… 20 Hugging Face Daily Papers research 1mo ago E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation Abstract A year-long e-commerce benchmark evaluates LLM agents on multi-store negotiation, dynamic market events, and long-horizon policy adaptation across 18 frontier models. Generated by thinkingmachines/Inkling-Small Long-horizon agentic tasks go beyond chaining short tasks… 12 r/LocalLLaMA community 1mo ago Sam Altman trying to sabotage open source compute   submitted by   /u/Charuru [link]   [comments] 8 The Information — AI news-outlet 1mo ago Elon Musk Calls on Countries to Build Data Centers at North Carolina G20 Meeting Elon Musk lamented a global “crisis of power” on Tuesday as the Tesla and SpaceX CEO spoke virtually at a G20 innovation event hosted in North Carolina by the White House Office of Science and Technology Policy and the Commerce Department. Musk cited a likely 15 gigawatt… 28 Latent.Space news-outlet 1mo ago PRs NOT Welcome: How Top AI Open Source Projects Are Managing Thousands of Contributors Vercel’s AI SDK, Astro, Flue and tldraw are replacing drive-by community PRs with software factories, where teams of agents apply fixes and features. 25 arXiv — Machine Learning research 1mo ago Off-Policy Evaluation for Semantic ID Recommenders: Does the Model's Own Code Hierarchy Help? arXiv:2608.28905v1 Announce Type: new Abstract: Generative recommenders increasingly emit semantic IDs (SIDs): each item is a short sequence of hierarchical discrete codes from a residual quantizer, decoded autoregressively. Before spending scarce A/B-test, a team may decide… 34 arXiv — Machine Learning research 1mo ago RankShift: In-Database Detection and Explanation of Categorical Shifts arXiv:2608.28922v1 Announce Type: new Abstract: A login service can receive its usual number of failed sign-ins while one source grows from 2% to 30% of them. The same pattern appears in system logs when a rare event template becomes common while the message rate stays stable.… 36 arXiv — Machine Learning research 1mo ago Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks arXiv:2608.29096v1 Announce Type: new Abstract: The ongoing changes in software engineering requirements have created a substantial need for automated tools which can create secure source code from natural language input. The performance of traditional Large Language Models… 23 arXiv — Machine Learning research 1mo ago Designing for the Next Click: Bandits for Real-Time Page Layout arXiv:2608.29850v1 Announce Type: new Abstract: E-commerce platforms increasingly personalize user experiences through machine learning, yet page layout decisions remain dominated by static rules and manual curation. We present a scalable bandit-based system that optimizes… 15 arXiv — Machine Learning research 1mo ago Uncertainty-Driven Replay Memory for Reinforcement Learning arXiv:2608.29860v1 Announce Type: new Abstract: Uncertainty estimation provides promising capabilities for reinforcement learning (RL) agents. Notably, estimating uncertainty can reduce the training time and enable agents to obtain greater rewards over time by exploiting… 26 arXiv — NLP / Computation & Language research 1mo ago Do MLLMs Really Understand Low-Resource Khmer Documents? A Pilot Study on Khmer Document VQA arXiv:2608.28635v1 Announce Type: new Abstract: Recent multimodal large language models (MLLMs) have advanced document understanding, visual question answering, and text extraction. However, their reliability in low-resource, non-Latin settings remains uncertain. Khmer form… 9 arXiv — NLP / Computation & Language research 1mo ago Cross Lingual Transfer in Tulu Legal Comprehension: Script-Dependent Improvement and RAG-Induced Knowledge Conflict arXiv:2608.28645v1 Announce Type: new Abstract: Low-resource languages without an adequate training corpus often use a related, higher-resource language as a scaffold for comprehension. Still, there is a need to develop rigorous evaluation methods to identify when models fail in… 28 arXiv — NLP / Computation & Language research 1mo ago Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution? arXiv:2608.28649v1 Announce Type: new Abstract: Touchpoint selection in conversion attribution, namely identifying meaningful touchpoints contributing to conversions, is essential for e-commerce recommendation and online advertising. Current selection methods rely heavily on… 23 arXiv — NLP / Computation & Language research 1mo ago GreenBench: Benchmarking Energy Efficiency and Carbon Footprint of Open-Source LLM Inference on Apple Silicon arXiv:2608.28667v1 Announce Type: new Abstract: The rapid proliferation of Large Language Models (LLMs) has raised concerns about their environmental impact during inference. While Green AI research has focused on datacenter GPUs and embedded platforms, the energy profile of LLM… 27 arXiv — NLP / Computation & Language research 1mo ago Toward a Cross-Lingual Romanization Ecosystem for Sinitic Languages: A Paired Mandarin-Cantonese Case Study arXiv:2608.29170v1 Announce Type: new Abstract: This paper proposes the Sinitic Romanization Ecosystem, a cross-lingual Sinitic romanization design framework with supporting digital infrastructure and a community-driven open-source workflow. The design framework addresses the… 32 arXiv — NLP / Computation & Language research 1mo ago Anchoring Speech with Semantics: A Multimodal Adapter Mechanism for Automatic Speech Recognition in Low-Resource Languages arXiv:2608.29239v1 Announce Type: new Abstract: Low-resource ASR remains difficult because scarce transcripts provide limited supervised evidence for target-side generation. To address this gap, we propose SAMA-ASR, a lightweight adapter mechanism that augments the decoder with… 36 Page 10 of 10 · 500 articles ← Newer
