News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow arXiv — Machine Learning research 3h ago CoMedBench: A Multi-Source Benchmark of Synthetic Medical Data Fidelity and Downstream Utility arXiv:2608.12805v1 Announce Type: new Abstract: Access to clinical data is essential for developing reliable healthcare machine learning systems, but direct use of electronic health records is constrained by privacy regulation, institutional review, data-use agreements, and the… 38 arXiv — Machine Learning research 3h ago Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization arXiv:2608.13461v1 Announce Type: new Abstract: Post-click conversion rate (CVR) is a key metric in various scenarios including e-commerce and advertising, reflecting the efficiency and user experience in the second stage of the conversion process. Estimating the causal effect… 28 arXiv — NLP / Computation & Language research 3h ago AnchorSIPS: A Synthetic Dataset and Evaluation Resource for Evidence-Supported Psychosis-Risk Symptom Measurement arXiv:2608.12329v1 Announce Type: new Abstract: Progress on AI for psychosis-risk assessment is limited by a data-access bottleneck. Real clinical interviews are difficult to share because of privacy, governance, and consent constraints. We present AnchorSIPS, a synthetic… 32 arXiv — NLP / Computation & Language research 3h ago When Explanations Betray Backdoors: Black-Box Auditing for Language Model Classifiers arXiv:2608.12623v1 Announce Type: new Abstract: Language model classifiers with explanations are used for moderation, routing, topic triage, and low-resource annotation. We study black-box auditing when the defender has only clean calibration data without trigger information but… 38 arXiv — NLP / Computation & Language research 3h ago BavGround: A Benchmark for Regional Cultural Grounding and Dialect Competence in Bavarian arXiv:2608.12894v1 Announce Type: new Abstract: Cultural evaluation of large language models (LLMs) often focuses on high-resource standard languages, leaving regional culture and dialect communities underrepresented. We introduce BavGround, a benchmark for evaluating Bavarian… 35 arXiv — NLP / Computation & Language research 3h ago DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data arXiv:2608.13517v1 Announce Type: new Abstract: Current large language model development relies on massive, often non-permissible datasets, creating a high barrier for researchers committed to open-source and ethically sourced data. We introduce Mimir v1, a 1-billion-parameter… 32 arXiv — NLP / Computation & Language research 3h ago MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination arXiv:2608.13476v1 Announce Type: cross Abstract: We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration for clinical reasoning. MARC coordinates role-specialized… 17 TechCrunch — AI news-outlet 10h ago Writer introduces new AI model and upgraded harness to contain token costs Built as a post-training variation on Z.ai's open source model GLM-5.2, Writer says the new system should provide deployment-ready capabilities at a much lower price. 28 r/MachineLearning community 11h ago worldproof: diagnosing where world-model predictions break and a measurement of when pixel metrics stop being able to rank models at all [P] I've been building an open-source tool for diagnosing world models, the kind that predict future frames from a starting context and a sequence of actions. It compares a rollout against ground truth and against physical invariants, then tells you where and why the prediction… 30 r/MachineLearning community 18h ago Neurips 2026: Modified date on reviews [D] Reviews modified dates are public, and some are recent. I’m a bit confused as to how to interpret this. In other conferences, reviewers were required to provide a final justification, which would practically force them to modify their reviews during the AC discussion phase lest… 37 r/LocalLLaMA community 18h ago Deepseek Harness is Up! DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability. DeepSeek Harness is currently in… 13 arXiv — Machine Learning research 1d ago Terminal Symmetry as a Decision Resource: Statewise Refinement for Anytime Verified Construction arXiv:2608.11318v1 Announce Type: new Abstract: Many sequential construction tasks exhibit exact symmetry at completion while their execution remains directed and history-dependent. We develop a decision-resource view of terminal symmetry: process evidence supplies… 28 arXiv — Machine Learning research 1d ago Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes arXiv:2608.11390v1 Announce Type: new Abstract: Generative engines are reshaping the web ecosystem by making citations a key mechanism for allocating attention, attribution, and downstream value. This creates a strategic tension: content providers are incentivized to optimize… 10 arXiv — Machine Learning research 1d ago Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention arXiv:2608.11427v1 Announce Type: new Abstract: Full attention exposes every token pair, whereas kernel attention compresses a sequence into a fixed-dimensional sketch. We show that this distinction becomes exponential at the first context length containing two competing… 29 arXiv — NLP / Computation & Language research 1d ago Diffuse to Compress: Leveraging Diffusion LMs for Lossless Compression arXiv:2608.11249v1 Announce Type: new Abstract: We study the problem of lossless text compression, motivated by the rapid growth in the collection and storage of digital textual data - including plain text, source code, and structured formats such as XML - and by recent advances… 37 arXiv — NLP / Computation & Language research 1d ago DonorRank: Donor Language Selection for Low-Resource Cross-Lingual Speech Recognition arXiv:2608.11441v1 Announce Type: new Abstract: Low-resource automatic speech recognition (ASR) commonly relies on cross-lingual transfer, where models are adapted from higher-resource donor languages. However, selecting donors remains challenging for spontaneous speech from… 18 arXiv — NLP / Computation & Language research 1d ago LazyTrain: Limited-resource Allocation toward Zero-waste Yield Optimization in Large Language Model Training arXiv:2608.11919v1 Announce Type: new Abstract: Training large language models on limited hardware is increasingly a scheduling problem across GPU compute, host memory, PCIe transfer, and storage bandwidth. Existing offloading systems reduce GPU residency, and MegaTrain shows… 19 arXiv — NLP / Computation & Language research 1d ago ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents arXiv:2608.11878v1 Announce Type: cross Abstract: Large language model (LLM) agents integrated with external tools are vulnerable to indirect prompt injections embedded in environmental states. However, existing studies largely rely on manually implemented or reused… 25 arXiv — NLP / Computation & Language research 1d ago VICBench: A Multi-Language Benchmark for Code Vulnerability Detection arXiv:2608.12246v1 Announce Type: cross Abstract: Evaluating security vulnerability detection tools requires benchmark datasets with vulnerability-inducing commits (VICs) - the commits that first introduce vulnerabilities into codebases. VICs are essential for determining the… 7 Hugging Face Daily Papers research 1d ago CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG Abstract CoinRAG improves retrieval-augmented generation efficiency and accuracy by reusing fine-grained semantic nugget caches instead of full chunks. Generated by thinkingmachines/Inkling-Small Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited… 4 Hugging Face Daily Papers research 1d ago ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents Abstract ToolHazard is a scalable framework that synthesizes adversarial environments to test LLM agents against indirect prompt injections, revealing vulnerabilities and improving defensive alignment. Generated by thinkingmachines/Inkling-Small Large language model (LLM) agents… 12 TechCrunch — AI news-outlet 1d ago As AI safety concerns mount, three pioneers make the case for staying open At Ai4, three of the world's most respected AI experts—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated regulation, open-source access, and how America can compete as China advances in Asia. 17 Hacker News — AI on Front Page community 1d ago Someone is running mass vulnerability scans, spoofing AI bots like ClaudeBot Article URL: https://knownagents.com/insights Comments URL: https://news.ycombinator.com/item?id=49272569 Points: 284 # Comments: 215 7 Hacker News — AI on Front Page community 1d ago Show HN: Woxi - Open-source Mathematica / Wolfram Language reimplementation Woxi is an interpreter for the Wolfram Language written in Rust. It comes with Woxi Studio, a Mathematica-like GUI built with iced, but you can also use Woxi through a CLI, Jupyter kernel, Python package, npm package, or WASM module. Compared with wolframscript / Mathematica,… 28 arXiv — Machine Learning research 2d ago DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agents arXiv:2608.10037v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on external tools to accomplish complex real-world tasks, making tool documentation a critical grounding resource for LLM agents. Existing studies mainly focus on improving the… 38 arXiv — Machine Learning research 2d ago Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic Critique arXiv:2608.10430v1 Announce Type: new Abstract: Large Language Models (LLMs) deployed as AI agents frequently exhibit user specification-grounding failures, executing hallucinated, undesired actions to force a resolution rather than expressing uncertainty. Existing detection… 14 arXiv — NLP / Computation & Language research 2d ago Locally Deployable Small Language Models for Emergency Department Decision Support: A Systematic Benchmark of Fine-Tuning Strategies arXiv:2608.10273v1 Announce Type: new Abstract: Deploying large language models (LLMs) for decision support in emergency departments (EDs) faces two major challenges: privacy risks of transmitting patient data to closed-source commercial LLMs and the lack of systematic… 4 arXiv — NLP / Computation & Language research 2d ago Decomposition-Induced Context-Memory Conflict: When Fact-Checking Pipelines Contradict Their Own Source Text arXiv:2608.10627v1 Announce Type: new Abstract: Decompose-then-verify pipelines, including FActScore-style fact-checkers and long-form factuality evaluators, first split a passage into atomic claims before checking each one. Decomposition itself is treated as a neutral… 38 arXiv — NLP / Computation & Language research 2d ago Seeds Before Objectives: Rethinking Evaluation for Low-Resource Garhwali ASR arXiv:2608.10670v1 Announce Type: new Abstract: At corpus sizes typical of low-resource dialects, single-run comparisons can yield gains that do not replicate. We show this for Garhwali, an under-resourced Indo-Aryan language of the central Himalaya, building the first… 28 arXiv — NLP / Computation & Language research 2d ago A Cost-Efficient Routing Pipeline for Multilingual Short-Text Classification Using Small Language Models arXiv:2608.10939v1 Announce Type: new Abstract: Multilingual short-text classification supports operational systems such as content moderation, customer support routing, and intent recognition, yet aggregate evaluation often hides large differences between high-resource and… 23 arXiv — NLP / Computation & Language research 2d ago The Illusion of Cross-Lingual Safety in Low-Resource Languages arXiv:2608.11146v1 Announce Type: new Abstract: Safety alignment in large language models (LLMs) is largely developed in English, assuming these safeguards generalize across multilingual settings. However, this assumption remains underexplored and exposes a vulnerability in… 14 arXiv — NLP / Computation & Language research 2d ago Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety arXiv:2512.06227v3 Announce Type: replace Abstract: Real-world indicators play an important role in many Natural Language Processing (NLP) applications, such as life events for mental health analysis and risky behaviours for online safety, yet labelling such information is often… 34 r/LocalLLaMA community 2d ago Anthropic, OpenAI, Google, Meta, Microsoft, and Mistral all signed the EU Code of Practice on Transparency of AI-Generated Content Even open source local models from these companies will be watermarking code and text since it's required by law.   submitted by   /u/Bestlife73 [link]   [comments] 19 Vercel — AI dev-tools 2d ago Building a software factory for AI SDK The AI SDK is one of the most popular open-source AI projects in the world. It serves over 20 million npm downloads a week and the repo has over 26,000 stars. Maintaining the codebase means tracking four moving targets at once: Model providers: new providers, new capabilities,… 30 Vercel — AI dev-tools 2d ago Enterprise Managed Users is now generally available Enterprise Managed Users (EMU) gives organizations full control over the Vercel accounts tied to their verified domains. It makes the organization's identity provider the single source of truth for authentication and account lifecycle, so accounts on company domains are governed… 5 Hugging Face Daily Papers research 2d ago Gaming Without an Attacker: Benchmark Fingerprinting in LLM-Driven Search Under Selection Pressure Abstract Optimized GPU kernel benchmarks reveal that evolutionary LLM proposals exploit evaluation configurations, causing widespread failure to generalize to held-out settings. Generated by thinkingmachines/Inkling-Small Benchmarks for systems that are optimized against the… 11 Hugging Face Daily Papers research 2d ago Ego-OSCAR: Egocentric Open source Stereo CAptuRe System Abstract We present Ego-OSCAR, an open-hardware, low-cost, head-mounted stereo-inertial capture device for egocentric data collection in the wild. EgoOSCAR pairs a hardware-synchronized global-shutter stereo camera with a 6- axis IMU, an embedded Linux SBC for on-device video… 28 Hugging Face Daily Papers research 3d ago RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Abstract RynnValue is a scalable open-source value foundation model for robot manipulation that uses temporal distance instead of preferences or progress to learn generalizable value predictions and improve real-world policy success. Generated by thinkingmachines/Inkling-Small… 28 arXiv — Machine Learning research 3d ago Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators arXiv:2608.07630v1 Announce Type: new Abstract: We adapt two classical statistical estimators for quantifying uncertainty to modern deep learning, in order to provide clearer insights into uncertainty attributable to two sources : aleatoric uncertainty, or locally scarce data.… 6 arXiv — Machine Learning research 3d ago Evaluator Ensembles Under Reward Hacking: Covariance Geometry and Finite-Search Guarantees arXiv:2608.08002v1 Announce Type: new Abstract: Language-model judges and reward models enable scalable supervision, but finite optimization can exploit evaluator errors rather than improve response quality. We characterize this failure through the covariance geometry of… 25 arXiv — Machine Learning research 3d ago Quality-Diversity Stress Tests for Process Reward Models:What Archive Coverage Can and Cannot Certify arXiv:2608.08008v1 Announce Type: new Abstract: Process reward models (PRMs) score intermediate reasoning steps and are widely used for search, ranking, and training, but optimization can exploit these learned proxies by increasing reward while turning correct reasoning into… 15 arXiv — NLP / Computation & Language research 3d ago Embedding Initialization for Unseen Low-resource Languages in Multilingual NMT: A Case Study on Limbum-English Translation arXiv:2608.07629v1 Announce Type: new Abstract: Multilingual neural machine translation models such as NLLB-200 cover 200 languages but leave thousands unsupported, including most Grassfields Bantu languages of Cameroon. When fine-tuning these models for an unseen language,… 18 arXiv — NLP / Computation & Language research 3d ago DialectS2S: End-to-End Speech Dialogue Modeling for Low-Resource Chinese Dialects arXiv:2608.08067v1 Announce Type: new Abstract: Current end-to-end speech dialogue models are primarily optimized for mainstream languages and remain limited in low-resource dialect scenarios due to the scarcity of dialect speech data. Moreover, during dialect adaptation, the… 14 arXiv — NLP / Computation & Language research 3d ago North Africa's Missing Framework: NLP-Driven Mental Healthcare in Algeria and Implications for Low-resource Settings arXiv:2608.08607v1 Announce Type: new Abstract: Mental health disorders are a leading cause of disability worldwide, yet Natural Language Processing (NLP) research for mental healthcare has remained concentrated in high-income, English-language settings. North Africa, and… 7 arXiv — NLP / Computation & Language research 3d ago Measuring the Tokenization Premium: A Cost Audit for Underserved Language Communities arXiv:2608.09046v1 Announce Type: new Abstract: Large language models are increasingly deployed as general-purpose educational and technical assistance systems, but their underlying infrastructure does not treat languages equally. One underexamined source of disparity is… 35 arXiv — NLP / Computation & Language research 3d ago Security and Privacy Taxonomy Generation from Mobile App Reviews arXiv:2608.09049v1 Announce Type: new Abstract: Mobile app reviews are a rich, continuously renewing source of how users experience privacy and security, yet existing taxonomies of these concerns are hand-crafted and cannot keep pace with the evolving nature of the data.… 28 arXiv — NLP / Computation & Language research 3d ago Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System arXiv:2608.09187v1 Announce Type: new Abstract: A long-form translation request can succeed at the API layer and still produce an unusable result. The output may be empty, truncated, filtered, dominated by source or prompt material, or interrupted after producing text worth… 32 arXiv — NLP / Computation & Language research 3d ago UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers arXiv:2608.09209v1 Announce Type: new Abstract: Neural language models trained on large crowdsourced corpora frequently exploit spurious surface patterns tied to target labels without true linguistic or causal relevance, boosting benchmark performance while failing on… 33 arXiv — NLP / Computation & Language research 3d ago Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law arXiv:2608.09393v1 Announce Type: new Abstract: We identify and quantify temporal misgrounding: the systematic retrieval and citation of the currently in-force version of a legal article when the applicable version is an earlier or future one. Standard legal RAG treats the… 17 arXiv — NLP / Computation & Language research 3d ago Pragmatic Attack Surface: Vulnerabilities of Implicit Context in Large Language Models arXiv:2608.09551v1 Announce Type: new Abstract: In the era of large language models (LLMs), attackers often manipulate natural language to elicit unsafe or harmful outputs, creating a new natural language attack surface unique to LLM-based systems, where attacks directly exploit… 26 Page 1 of 10 · 500 articles Older →
