News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow arXiv — Machine Learning research 20d ago Discover, Falsify, Revise: Auditing Input-Use Claims from Source Code to Predictive Contribution in Agent-Discovered Cell Models arXiv:2609.27234v1 Announce Type: new Abstract: AI virtual cells aim to predict cellular responses to specified interventions, yet held-out predictive performance alone does not establish use of the supplied perturbation information. This prediction-claim gap matters in agentic… 6 arXiv — Machine Learning research 20d ago Graph Learning with Spectral Connectivity Priors for Scarce Data arXiv:2609.27278v1 Announce Type: new Abstract: Learning a sparse graph from scarce data is practically important but challenging. Motivated by the desirable combination of local sparsity and strong global connectivity exhibited by expander-like graphs, we propose spectral… 5 arXiv — Machine Learning research 20d ago When Labels Are Scarce: An Oscillatory State Space Model for Vibration Diagnosis arXiv:2609.27411v1 Announce Type: new Abstract: Machine fault diagnosis from vibration requires learning from scarce labelled fault recordings while meeting the computational constraints of edge devices for local inference. We introduce DualRes, a compact oscillatory state-space… 30 arXiv — Machine Learning research 20d ago EBRL: Asynchronous Embodied RL by Multi-Grained Resource Management arXiv:2609.27547v1 Announce Type: new Abstract: Embodied reinforcement learning (RL) improves model capabilities with a pipeline of environment simulation, action generation, and model updates. These stages show heterogeneous CPU and GPU demands, making efficient resource… 7 arXiv — Machine Learning research 20d ago TNLearn: An Open Source Python Package for Task-based Neurons arXiv:2609.27564v1 Announce Type: new Abstract: The brain does not rely on a single type of neuron to perform all kinds of tasks; instead, it designs different neurons for different tasks. The concept of task-based neurons represents a paradigm shift compared to task-based… 36 arXiv — Machine Learning research 20d ago When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding arXiv:2609.27819v1 Announce Type: new Abstract: Federated wearable models eventually serve people absent from source training, but favorable average accuracy does not establish that unlabeled onboarding helps each person. We evaluate six core onboarding strategies on five… 20 arXiv — Machine Learning research 20d ago Exact Minimax One-Bit Unbiased Compression: Heavy-Tail Necessity and Finite-Randomness Approximation arXiv:2609.27860v1 Announce Type: new Abstract: A pointwise-unbiased one-bit compressor reconstructs every real input in expectation while transmitting one bit. For a scalar source $P$ with CDF $F$, mean $m$, and $\mathcal J(P)=\int_{\mathbb R}\sqrt{F(r)(1-F(r))}\,dr$, we prove… 19 arXiv — NLP / Computation & Language research 20d ago AraGenre 2026: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task arXiv:2609.27387v1 Announce Type: new Abstract: AraGenre is a shared task on hierarchical, definition-guided Arabic genre classification, motivated by the limited availability of annotated data in Arabic and other low-resource languages. Systems assign each Arabic text segment… 38 arXiv — NLP / Computation & Language research 20d ago Hard Negatives Reveal What Easy Negatives Hide: Cross-Lingual Harmfulness Representations Degrade with Resource Tier Under Hard Negatives arXiv:2609.27758v1 Announce Type: new Abstract: Safety alignment in large language models is trained primarily in English, and recent work reports that the underlying harmfulness representation survives translation: English-trained probes separate harmful from harmless prompts… 38 Hacker News — AI on Front Page community 20d ago Ideas on modernizing the open-source desktop Article URL: https://lwn.net/SubscriberLink/1095425/2d9f411252325784/ Comments URL: https://news.ycombinator.com/item?id=49825642 Points: 301 # Comments: 349 30 The Information — AI news-outlet 21d ago Meta Announces New Retail Partnerships for Agent Muse Meta Platforms announced partnerships with Walmart and other retailers for its AI agent Muse days after e-commerce giant Amazon blocked the personalized agent from accessing its shopping site. At Meta’s annual Connect conference on Wednesday, Chief AI officer Alexandr Wang said… 10 r/LocalLLaMA community 21d ago RSI ACHIEVED at Reef(Rumours again lol) and it's open source   submitted by   /u/Muhlwa_Sholanke [link]   [comments] 29 r/LocalLLaMA community 21d ago MiMo-V2.6 (both Pro and Flash) is a benchmaxxed scam MiMo-V2.6-Pro has an insanely high score of 46 on AA, putting it at the head of the opensource models available. It also costs pennies. Flash is not out on AA yet, but it costs less than half on datacenter and is slightly below on Xiaomi's own benchmarks. It also fits in 192GB,… 12 The Information — AI news-outlet 21d ago Shares of Chinese AI Model Firms Fall After Report of Regulatory Probe Hong Kong-listed shares of Z.ai and MiniMax plunged on Wednesday, after The Information reported that China’s internet regulator is probing potential data leaks to Anthropic. Z.ai, also known as Zhipu, dropped 12.4%, MiniMax fell 4% and Alibaba declined 4.4%. The benchmark Hang… 37 arXiv — Machine Learning research 21d ago MT-ProtBERT: Multi-task Learning ProtBERT for Intrinsically Disordered Proteins Classification with Scarce Data arXiv:2609.25334v1 Announce Type: new Abstract: Intrinsically disordered proteins (IDPs) differ from folded proteins in that they are dynamic, lack a stable three-dimensional conformation, and have low sequence similarity between similar proteins. The conformational… 8 arXiv — Machine Learning research 21d ago Deep Reinforcement Learning on Item-Compatibility Graphs for One-Dimensional Bin Packing arXiv:2609.25397v1 Announce Type: new Abstract: The one-dimensional bin packing problem (1D-BPP) is a classical NP-hard combinatorial optimization problem with applications ranging from logistics and manufacturing to cloud resource management. Although deep reinforcement… 13 arXiv — Machine Learning research 21d ago EMGBlend: Heterogeneity-Aware Self-Supervised Pretraining for Gesture and Force Decoding arXiv:2609.25582v1 Announce Type: new Abstract: Public surface electromyography (EMG) datasets vary widely in electrode layout, channel count, frequency support, and size. Simply mixing them for pretraining can misalign channel semantics, introduce spectral targets that some… 21 arXiv — Machine Learning research 21d ago Graph Domain Adaptation Does Not End with Representation Learning arXiv:2609.25692v1 Announce Type: new Abstract: Graph domain adaptation (GDA) transfers knowledge from a labeled source graph to an unlabeled target graph under shifts in both node attributes and graph structure. Existing methods primarily adapt graph representations through… 7 arXiv — Machine Learning research 21d ago Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy arXiv:2609.25811v1 Announce Type: new Abstract: Multi-view clustering (MVC) aims to uncover latent cluster structures by exploiting complementary information from multiple views. Despite substantial progress in clustering performance, fairness remains an important concern when… 38 arXiv — Machine Learning research 21d ago Protocol before progress: leakage-aware evaluation of AIS trajectory prediction arXiv:2609.25827v1 Announce Type: new Abstract: Reported gains in vessel-trajectory prediction from Automatic Identification System (AIS) data are credited to new architectures, but the evaluation protocol is rarely measured as a source of error reduction. We build a… 30 arXiv — Machine Learning research 21d ago Quantifying Protocol-Induced Uncertainty in Comparative Predictive-Model Evaluation: Evidence from Large-Scale Daily PM10 Forecasting arXiv:2609.26288v1 Announce Type: new Abstract: Comparative studies of predictive models often end by ranking candidate models, yet these rankings depend on evaluation protocols whose influence is rarely treated as a source of uncertainty. We formalize this problem as… 29 arXiv — NLP / Computation & Language research 21d ago LLM-Driven Training-free Location-Attribute Synergic Fusion: A Closed-Loop Paradigm for Dual-source Encrypted POIs and LULC Mapping arXiv:2609.25051v1 Announce Type: new Abstract: Dual-source encrypted points of interest (DSEP), POIs from two encrypted coordinate systems, suffer from intertwined location and attribute uncertainties, including nonlinear systematic misalignment and naming inconsistency,… 20 arXiv — NLP / Computation & Language research 21d ago FinFIRST: Benchmarking Search Agents for Financial Information Retrieval, Sourcing and Traceability arXiv:2609.25192v1 Announce Type: new Abstract: Financial search is a highly demanding task for LLM agents, requiring not only a correct final answer but also temporally valid information retrieval, authoritative source selection, entity and period alignment, unit and definition… 35 arXiv — NLP / Computation & Language research 21d ago TelecomGPT-R1: Unified Post-Training for Reasoning Across Heterogeneous Telecom Tasks arXiv:2609.25356v1 Announce Type: new Abstract: Large language models (LLMs) offer great potential to automate a broad range of telecom engineering tasks by reasoning over standards, network configurations, mathematical models, source code, and operational logs. However,… 8 arXiv — NLP / Computation & Language research 21d ago Isolated Sign Language Recognition for Icelandic Sign Language: Experiments in a Low-resource Setting arXiv:2609.25862v1 Announce Type: new Abstract: We present the first experiments on isolated sign language recognition (ISLR) for Icelandic Sign Language (\'ITM). We use \'ITM SignWiki, a dataset derived from a bilingual Icelandic--\'ITM online dictionary. It is genuinely… 22 arXiv — NLP / Computation & Language research 21d ago Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models arXiv:2609.26637v1 Announce Type: new Abstract: The rapid capability gains of frontier language models are widely attributed to improved reasoning abilities, yet this cannot be verified as raw CoT traces in closed-source systems are hidden. By registering a simple custom tool… 35 r/LocalLLaMA community 21d ago DeepSeek and Moonshot AI face Beijing's probe over potential data leaks to Anthropic The rumor about Kimi execs getting arrested finally has some legs. I believe the reality is more like under investigation for potential arrests or fine.   submitted by   /u/Ok_Warning2146 [link]   [comments] 20 r/LocalLLaMA community 22d ago New 6B image model coming, AntLing just open sourced the Ming-Image-0.1-Design family • Ming-Image-0.1-Design, 6B • Ming-Image-0.1-Design-Layer, 6B • Two open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill Ming-Image-0.1-Design ranks #1 among open-weight models on Artificial Analysis’s UI/UX Design leaderboard.… 12 r/LocalLLaMA community 22d ago AntLing open sourced the Ming-Image-0.1-Design family AntLing open sourced the Ming-Image-0.1-Design family: • Ming-Image-0.1-Design, 6B • Ming-Image-0.1-Design-Layer, 6B • Two open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill Ming-Image-0.1-Design ranks #1 among open-weight models on Artificial… 9 Hacker News — AI on Front Page community 22d ago WordPress: Unauthenticated path traversal leading to conditional RCE Article URL: https://github.com/WordPress/wordpress-develop/security/advisories/GHSA-7hp8-65ch-5whp Comments URL: https://news.ycombinator.com/item?id=49803959 Points: 212 # Comments: 111 4 The Information — AI news-outlet 22d ago China Probes DeepSeek, Moonshot Over Potential Data Leaks to Anthropic China’s internet regulator is investigating DeepSeek and Moonshot AI after Anthropic alleged both companies had been routing sensitive user data to Claude models, according to people with knowledge of the matter. In a 154-page report published on Sept. 10, Anthropic detailed how… 16 arXiv — Machine Learning research 22d ago Gaussian Process Decorrelation for Spatiotemporal Deep Learning-Based Snow Water Equivalent Prediction arXiv:2609.22182v1 Announce Type: new Abstract: In the Western United States, snowmelt is essential to the agricultural industry in addition to being a key source of municipal drinking water. Consequently, accurate snowpack forecasting is critical for water policy and… 31 arXiv — Machine Learning research 22d ago EvoRank: LLM-Guided Evolution of Multi-Objective Learning-to-Rank Pipelines arXiv:2609.22196v1 Announce Type: new Abstract: We present EvoRank, an open autonomous ranking engineer: an LLM-guided evolutionary loop that discovers complete Learning-to-Rank pipelines (features, models, losses, ensembles) for multi-objective e-commerce search. On the Expedia… 25 arXiv — Machine Learning research 22d ago UniGIO: Unified Generative Global In-situ Weather Modeling from Spatiotemporal Incomplete Observations arXiv:2609.22217v1 Announce Type: new Abstract: Global In-situ Observation (GIO) provides fine-scale, direct records of the global weather system from sparse point stations, making it an indispensable source for capturing localized and transient dynamics beyond the reach of… 36 arXiv — Machine Learning research 22d ago Resist, Update, Reject: Preference Optimization Installs a Prior-Dependent Reliability Switch arXiv:2609.22359v1 Announce Type: new Abstract: An aligned model asked to hold its answer against a manipulative source must still update on a reliable one and reject an unreliable one: resistance, reliable-update, and unreliable-source rejection are one three-way contract, not… 25 arXiv — Machine Learning research 22d ago COREM: Cosine-Relation Momentum Reshaping with Stateful Writeback arXiv:2609.22487v1 Announce Type: new Abstract: Matrix-valued optimizer states may contain relational structure that is not captured by treating their entries independently. We study whether relations within matrix-valued optimizer states can be exploited to improve… 25 arXiv — NLP / Computation & Language research 22d ago Evaluating Fine-Tuned and Base Language Models in Maternal and Vaccination Healthcare for African Settings arXiv:2609.22110v1 Announce Type: new Abstract: Background: Large language models (LLMs) can improve healthcare information delivery in low-resource settings but may produce inaccurate or culturally inappropriate advice. This study evaluated domain-specific fine-tuning for… 20 arXiv — NLP / Computation & Language research 22d ago Attributable Post-Rationalization in RAG Citations: A Controlled Reproduction and an RLVR Comparison arXiv:2609.23053v1 Announce Type: new Abstract: A RAG system can hand you the right answer and cite a source it did not actually use. Models output these unfaithful citations via post-rationalization: they write the answer first and then attach a citation to whatever passage… 24 r/LocalLLaMA community 23d ago 50+ Hours and 100M+ Tokens Later, Open Source Autonomous Agent is GETTING CLOSER at Solving an Open Math problem This experiment is live, you can inspect all the internal reasoning, memories, attempts here: https://artificium-covering-experiment.gr.bio/ The problem that the agent is trying to solve is a covering design problem: https://en.wikipedia.org/wiki/Covering_design Known as… 19 The Information — AI news-outlet 23d ago OpenAI Releases Proposal for International AI Safety Coordination OpenAI released a proposal on Monday that would create international coordination around AI safety. In a blog post, OpenAI called for national AI safety institutes, such as the U.S. Commerce Department’s Center for AI Standards and Innovation, to set standards around areas… 30 Ars Technica — AI news-outlet 23d ago Trump rejects AI slowdown calls, launches "AI Force" instead The president offered few details on what his proposed new AI Force would do. 8 arXiv — Machine Learning research 23d ago Bio-MF: Low-Latency and High-Fidelity EEG-to-fNIRS Cross-Modal Generation for Hybrid Motor-Imagery Brain--Computer Interfaces arXiv:2609.20904v1 Announce Type: new Abstract: Hybrid motor-imagery brain-computer interfaces (MI-BCIs) combining EEG and fNIRS can outperform EEG-only systems by exploiting complementary electrophysiological and hemodynamic information. To obtain such hybrid information when… 7 arXiv — Machine Learning research 23d ago Talk to Me, Jarvis: An Open-Source Edge-Deployable Voice Assistant Framework for Autonomous Racecars arXiv:2609.21109v1 Announce Type: new Abstract: Recent advances in large language models have improved their effectiveness as back-end components for voice assistants, particularly in intent understanding and context-aware input classification. However, online-hosted models… 13 arXiv — Machine Learning research 23d ago GEM-MPC: Balancing Exploration and Exploitation through Expert-Guided Planning arXiv:2609.21735v1 Announce Type: new Abstract: Effective exploration in high-dimensional continuous control remains a central challenge in reinforcement learning. Planning-based methods address this by combining online planning with learned policies and value functions, but… 25 arXiv — Machine Learning research 23d ago Matrix AdaGrad: Row-wise and Column-wise Adaptive Subgradient Methods arXiv:2609.21815v1 Announce Type: new Abstract: Adaptive optimization methods such as AdaGrad and Adam are widely used in modern neural-network training, but their adaptive scaling is primarily designed for vector-valued parameters and does not explicitly exploit matrix… 31 arXiv — Machine Learning research 23d ago $\lambda$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource arXiv:2609.22041v1 Announce Type: new Abstract: Reinforcement learning is increasingly used to align image generators with reward signals, and Flow-GRPO recently extended this paradigm to flow-matching models by treating the denoising sampler as a stochastic policy that can be… 38 arXiv — Machine Learning research 23d ago BrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordings arXiv:2609.22064v1 Announce Type: new Abstract: Advances in large-scale neural recording have made it possible to collect data across many animals and distributed brain regions, raising the question of whether this scale can be exploited to learn general-purpose neural… 14 arXiv — Machine Learning research 23d ago Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification arXiv:2609.21012v1 Announce Type: cross Abstract: Artistic style classification is usually studied on complete artworks, where models can exploit global composition, spatial organisation, and iconographic structure. In archaeological settings, however, artworks often survive… 15 arXiv — NLP / Computation & Language research 23d ago COAL-SQL: Coverage-Guided Augmentation and Failure-Driven Learning for Text-to-SQL Post-Training arXiv:2609.20842v1 Announce Type: new Abstract: Text-to-SQL translates natural-language questions into executable SQL queries, but open-source large language models still require task-specific post-training for complex, real-world SQL generation. Effective post-training requires… 28 arXiv — NLP / Computation & Language research 23d ago Benchmarking Gender Bias in Machine Translation Evaluation Metrics across Occupations arXiv:2609.21490v1 Announce Type: new Abstract: Gender bias remains a persistent concern in machine translation (MT), affecting both generated translations and their automatic evaluation. When a source text leaves a person's gender unspecified, translations may realize that… 19 Page 5 of 10 · 500 articles ← Newer Older →
