News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow arXiv — NLP / Computation & Language research 27d ago When Audit Quality Fails to Predict Downstream Utility: A Counterfactual Study of Synthetic-Data Selectors for Low-Resource African NLP arXiv:2609.18960v1 Announce Type: new Abstract: Quality-aware synthetic-data selection rests on a proxy: examples that an LLM judge rates as good should also help a downstream model learn. In a controlled replay in low-resource African-language classification, we show that this… 15 Vercel — AI dev-tools 28d ago Native Marketplace integrations now support custom environments You can now connect native Marketplace resources to custom environments . Previously, resource connections could only target production, preview, and development environments. Choose custom environments when connecting a resource from the Vercel dashboard, Vercel CLI, or REST… 4 Hacker News — AI on Front Page community 28d ago Salesforce Global Outage Article URL: https://status.salesforce.com/products/all Comments URL: https://news.ycombinator.com/item?id=49724488 Points: 221 # Comments: 126 18 Stratechery (Ben Thompson) community 28d ago Salesforce AI Force, Agents as UI, The Race to Headless Salesforce is abandoning UI as a moat, which is a very smart move because it's disappearing for everyone. 24 llama.cpp releases dev-tools 28d ago b10996 chat : force \n</think> on reasoning budget end for qwen3-coder ( #28869 ) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47858837 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS… 29 arXiv — Machine Learning research 28d ago Evaluating Open-Weight E-Commerce Agents with Environment-Grounded Verification arXiv:2609.16093v1 Announce Type: new Abstract: A shopping conversation has many routes to the same cart, and a task-success rate reduces all of them to one score. We build a deterministic and reproducible e-commerce environment that precommits each trial's customer and… 8 arXiv — Machine Learning research 28d ago Multi-Label Proportion Learning for Sea-Ice Type Prediction arXiv:2609.16347v1 Announce Type: new Abstract: Sea-ice type prediction is important for climate monitoring, maritime navigation, and decision-making in polar regions. The main source of label data for this task is the ice chart, produced manually by ice analysts who interpret… 26 arXiv — Machine Learning research 28d ago OPEN-1B: A Fully Auditable Training Run arXiv:2609.17380v1 Announce Type: new Abstract: Open-source language models have a reproducibility problem. Despite releasing weights, training data, and recipes, none of them are provably reproducible due to the non-associativity of floating-point arithmetic. Deep learning… 19 arXiv — Machine Learning research 28d ago Nonsmooth Optimization via Orthogonalized Momentum arXiv:2609.13677v1 Announce Type: cross Abstract: Modern real application problems involve matrix-valued parameters, yet conventional optimizers treat them as vectors, thereby motivating matrix-aware methods that exploit input-output geometry, such as Muon which orthogonalizes… 4 arXiv — NLP / Computation & Language research 28d ago Style-Debiased DPO: Updating LLM Knowledge with Factuality-Aware Synthetic Preference Data arXiv:2609.16532v1 Announce Type: new Abstract: Continued pretraining (CPT) with data augmentation such as paraphrasing can store inside a large language model (LLM) the knowledge of a small source corpus. The stored knowledge, however, is not always retrieved correctly. We… 10 arXiv — NLP / Computation & Language research 28d ago PunGraph: Retrieval-Enhanced Phonetic-Semantic Graph Reasoning for Pun Understanding arXiv:2609.16557v1 Announce Type: new Abstract: Puns are a challenging form of figurative language that exploit phonetic similarity and semantic ambiguity to convey multiple meanings. Although large language models (LLMs) demonstrate strong language understanding capabilities,… 6 arXiv — NLP / Computation & Language research 28d ago Benchmarking Factual Robustness of LLMs via Multi-conversation Persuasion arXiv:2609.16777v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly serve as primary knowledge retrieval interfaces, their robustness against \textit{persuasion attacks}---attempts to inject misinformation or enforce counterfactuals---has become a… 13 arXiv — NLP / Computation & Language research 28d ago Can LLMs Follow the Pulse of a Crisis? Evaluating Crisis Sentiment in Bangladesh's July Uprising arXiv:2609.16997v1 Announce Type: new Abstract: Crisis sentiment analysis is especially challenging for low-resource languages such as Bangla, where language, context, and public reaction shift rapidly. We introduce UNRESTSENT200K, a Bangla crisis sentiment dataset with… 8 arXiv — NLP / Computation & Language research 28d ago CLEAR: Cross-Source Evidence Adjudication for Large Language Models in Medicine arXiv:2609.16301v1 Announce Type: cross Abstract: Medical knowledge evolves continuously, whereas the parametric knowledge encoded in large language models (LLMs) is fixed at training time. External retrieval, including retrieval-augmented generation (RAG), can provide access to… 13 arXiv — NLP / Computation & Language research 28d ago CLASH: Counterfactual Auditing of Lexical and Prosodic Reliance in Spoken Sarcasm Detection arXiv:2609.16582v1 Announce Type: cross Abstract: Spoken sarcasm detectors may exploit lexical content, prosody, or their interaction, yet conventional evaluation cannot reveal which cues drive their predictions. We introduce CLASH (Controlled Lexical-Acoustic Separation… 25 r/LocalLLaMA community 29d ago Open Source Appreciation Post It's late at night in the lab, I've been working on a basic script for a virology project, and holy hell the safeguards have been pissing me off. Mirroring detectEVE data over rsync to my laptop by making a zip file first? No no no, great safety mogul DARIO demands there be NO… 18 Vercel — AI dev-tools 29d ago Is Agentic now tailors its audit by site type Is Agentic reports now let you view your checks through one of four site types: Docs & content, Business, App, or Commerce. For example, the Commerce view highlights payment and checkout standards like x402, UCP, and ACP, while the App view highlights API discovery,… 21 The Information — AI news-outlet 29d ago Salesforce Unveils New AI Model, Agent Security Tools at Dreamforce At the opening of its annual Dreamforce customer conference, Salesforce signaled its involvement in two major trends in enterprise AI: Open-source AI models and software that helps corporate customers safely run AI agents on their data. Salesforce unveiled a new AI model, called… 34 r/LocalLLaMA community 29d ago Closed source AI is more dangerous than open source AI. Security through obscurity is no form of security.   submitted by   /u/keequalshalfmvsqrd [link]   [comments] 18 TechCrunch — AI news-outlet 29d ago Salesforce and Nvidia’s new reasoning model is everything the AI labs should fear Salesforce Koa is built on Nvidia's open-weight Nemotron model and is trained to do sales, marketing and customer-support tasks. 14 r/LocalLLaMA community 29d ago jinfer: An open-source AI inference engine for the JVM. Finally, AI in jar. For years, the JVM has watched the AI revolution from the bench. Every model, AI framework, every breakthrough, built with/for Python. jinfer is an inference engine built for the JVM from first principles: chat, vision, audio transcription, embeddings, reranking, and TTS. No… 7 Hugging Face Daily Papers research 29d ago Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor Attacks Abstract Backdoor vulnerability in fine-tuned language models varies drastically with poison selection, and a learned set-scoring method improves worst-case attack success by identifying high-impact poisoned examples. Generated by thinkingmachines/Inkling-Small Backdoor… 15 arXiv — Machine Learning research 29d ago BudgetBench: A Budget-Tiered Protocol and Pilot Harness for Memory Strategy Evaluation in Local Large Language Model Agents arXiv:2609.13149v1 Announce Type: new Abstract: For local large language model agents, active context is a scarce resource: memory capacity, prefill latency, cache growth, and service objectives all constrain how many input tokens each call can afford. We present BudgetBench, an… 32 arXiv — Machine Learning research 29d ago Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction arXiv:2609.13701v1 Announce Type: new Abstract: Accurate job runtime prediction can improve scheduling-aware resource management in grid and distributed computing environments, but prediction models must be evaluated under realistic deployment constraints. This paper revisits… 19 arXiv — Machine Learning research 29d ago Bayesian optimization with kernel ensembles and disagreement-based acquisition for source localization and acoustic inversion arXiv:2609.14262v1 Announce Type: new Abstract: Joint source localization and geoacoustic inversion requires optimizing an objective built from an expensive normal mode propagation model. Bayesian optimization (BO) with a Gaussian process (GP) surrogate can obtain accurate… 29 arXiv — Machine Learning research 29d ago Learning Source Acquisition Policies by Offline Planning arXiv:2609.14299v1 Announce Type: new Abstract: Predicting under an acquisition budget requires choosing feature groups whose value can depend on later queries. O-MPAC transfers finite-horizon risk-cost targets from complete training records into a shared source-action scorer.… 14 arXiv — NLP / Computation & Language research 29d ago Token Merging for Multilingual Speech Recognition: A Systematic Study Across Model Scale and Fine-Tuning arXiv:2609.13151v1 Announce Type: new Abstract: Leading multilingual speech recognition models like Whisper transcribe diverse, low-resource languages without language-specific training but are computationally expensive to deploy. Token merging mitigates this inefficiency by… 38 arXiv — NLP / Computation & Language research 29d ago The University of Melbourne WMT 2026 CreoleMT Submission: A Domain-Balanced Approach to Low-Resource Pacific Creole Machine Translation arXiv:2609.13615v1 Announce Type: new Abstract: For our submission to the WMT26 Creole Language Translation Shared Task, we focus on machine translation (MT) models for Pacific creoles: Tok Pisin, Bislama, and Solomon Pijin, with particular attention to broad domain performance.… 4 arXiv — NLP / Computation & Language research 29d ago Sweet Talkers: How Query Formulation Shapes Sycophancy in Romantic Relationship Advice arXiv:2609.13841v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for emotional support and relationship advice, where a model's tendency to preserve a user's face can inadvertently reinforce harmful interpersonal behaviors. To systematically… 6 arXiv — NLP / Computation & Language research 29d ago Measuring the Cost of Variety Conflation in Multilingual MT Evaluation: Adding Mozambican Xichangana, Nyanja and Sena to FLORES+ arXiv:2609.13847v1 Announce Type: new Abstract: In this paper, we extend FLORES+ with Portuguese-source evaluation sets for three Mozambican Bantu varieties: Xichangana, Mozambican Nyanja, and Sena. We compare Xichangana with the existing Tsonga reference and Mozambican Nyanja… 10 arXiv — NLP / Computation & Language research 29d ago Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection arXiv:2609.14570v1 Announce Type: new Abstract: Multi-agent LLM systems combine multiple inference calls, but prior work often confounds how calls are connected with how they are diversified. We study these factors independently: inference topology and source of inter-agent… 37 arXiv — NLP / Computation & Language research 29d ago Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation arXiv:2609.14963v1 Announce Type: new Abstract: As large language models become capable translators of classical texts, a key challenge is deciding which outputs need expert review when no human reference exists. This study tests reference-free error triage through… 21 arXiv — NLP / Computation & Language research 29d ago Online Language Adaptive Sampling for Better Distributed Cross-lingual Gains arXiv:2609.14969v1 Announce Type: new Abstract: Realignment is a promising approach for improving the cross-lingual transfer ability of multilingual language models, particularly for extremely low-resource languages (LRLs). However, existing realignment methods rely on uniform… 37 arXiv — NLP / Computation & Language research 29d ago Salesforce Koa: An Enterprise Language Model for Agentic Tool Use arXiv:2609.15066v1 Announce Type: new Abstract: We present Salesforce Koa, an enterprise language model built by post-training the open-weight Nemotron-3-Super-120B foundation model with reinforcement learning using Group Relative Policy Optimization (GRPO). Salesforce Koa is… 38 Hugging Face Daily Papers research 29d ago PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models Abstract PhysBrain 1.5 unifies physical environment understanding, action generation, and future state prediction via joint autoregressive training on discrete vision-language, motion, and visual target sequences, achieving state-of-the-art open-source embodied performance.… 29 r/LocalLLaMA community 1mo ago What are Open-Source Views on 'Slowing Down AI'? Personally, I think the whole "AI (LLMs) is going to take over" is just BS marketing. They've been pushing this doom-and-gloom since 2019, and we all know the models back then were nowhere near as capable as today's. What does everyone here think, since it's such a popular topic… 34 The Information — AI news-outlet 1mo ago Wall Street Delivers Verdict on AI Slowdown’s Winners and Losers Guess who likes the idea of an AI development slowdown? Software investors! Stocks of enterprise software firms, such as Salesforce, Shopify, ServiceNow and Figma, all gained ground on Monday—ServiceNow jumped 7%, for instance, while Salesforce rose nearly 5%. Software firms, of… 12 The Information — AI news-outlet 1mo ago Refounding America: The Tax Code Needs to Change in the Age of AI Vinod Khosla is founder of Khosla Ventures and has spent the last 40 years in the business of innovation. He was the co-founder of Sun Microsystems. Khosla Ventures is an investor in OpenAI. Major technological revolutions should force a renegotiation of society’s basic economic… 8 r/LocalLLaMA community 1mo ago Are there any organizations that are lobbying in favor of open source AI? So we’re seeing how Anthropic and OpenAI are gunning for regulations. I think most of us realize that this is a ploy for them to achieve regulatory capture, thus securing their moat and kicking out open source. The thing is, there’s so much vested corporate interest in ensuring… 36 r/LocalLLaMA community 1mo ago Xi promotes open source AI zone among BRICS countries Xi emphasised the need to step up cooperation. https://www.hindustantimes.com/india-news/china-will-lead-creation-of-open-source-ai-for-brics-xi-jinping-101789300908632.html… 17 Hacker News — AI on Front Page community 1mo ago OpenAI bots knew about the RubyGems caching vulnerability Article URL: https://tenderlovemaking.com/2026/09/11/what-a-time-to-be-alive/ Comments URL: https://news.ycombinator.com/item?id=49695876 Points: 211 # Comments: 212 13 r/LocalLLaMA community 1mo ago The new k2 horizon models seem like an absolute beast Especially the 7B one seems very interesting, it casually destroys muse glimmer with a way smaller size. And they open source literally everything, every step of the way. Anyone tried that model? It can be a new milestone if 7b and 3.7b ones are actually good, and not just… 11 r/LocalLLaMA community 1mo ago Muse spark 1.3 is great, but will they open source it? Fingers crosses, this model seems really good when it comes to coding, and the speeds are nice. They talked about making it open source but what happened? I still hope they release 1.2/1.3.   submitted by   /u/formatme [link]   [comments] 33 arXiv — Machine Learning research 1mo ago Efficient AI Model Deployment Using Quantization Analysis Tool arXiv:2609.11954v1 Announce Type: new Abstract: As deep learning models are increasingly deployed on resource constrained devices, the demand for efficient model optimization techniques continues to grow. Effective deployment of AI models on edge and low power platforms requires… 17 arXiv — Machine Learning research 1mo ago FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences arXiv:2609.11993v1 Announce Type: new Abstract: Machine learning research in financial services is limited by the scarcity of representative open-source datasets. Existing resources are often narrowly focused on a single modality or task and fail to reflect the structured,… 11 arXiv — Machine Learning research 1mo ago MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling arXiv:2609.13048v1 Announce Type: new Abstract: Efficient microservice scheduling is crucial for maintaining load balance across nodes in data centers and ensuring high quality of service. However, achieving this in practice remains challenging due to dynamic resource imbalance… 4 arXiv — NLP / Computation & Language research 1mo ago The Cost of Compression: A Rate-Distortion Limit on Factual Hallucination arXiv:2609.12111v1 Announce Type: new Abstract: Factual hallucination in closed-book question answering is often treated as a coverage problem: a model fails because the relevant fact is absent from its internal memory. This view misses a second source of error. Even when a fact… 19 arXiv — NLP / Computation & Language research 1mo ago EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development arXiv:2609.12268v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) can improve knowledge-intensive question answering, but the first design choice is easy to overlook: how should the source corpus be partitioned into retrievable units? Fixed-size chunks often… 21 arXiv — NLP / Computation & Language research 1mo ago I Am No One: Style-Aware Paraphrasing for Text Anonymization arXiv:2609.12341v1 Announce Type: new Abstract: Authorship attribution models can re-identify users from seemingly anonymized text by exploiting stable stylistic fingerprints, even after explicit identifiers are removed, posing a growing privacy risk for text publishing and… 17 arXiv — NLP / Computation & Language research 1mo ago Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning arXiv:2609.13045v1 Announce Type: new Abstract: Speech-to-speech translation (S2ST) has advanced significantly with speech LLMs, offering the potential for joint optimization and preserving non-linguistic information. However, these models struggle with predicting high-bitrate… 27 Page 7 of 10 · 500 articles ← Newer Older →
