News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow arXiv — NLP / Computation & Language research 22d ago Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies arXiv:2607.20056v1 Announce Type: new Abstract: Aspect-based sentiment analysis (ABSA) in Arabic must recover both explicitly stated aspects and implicit aspects that are never named in the text. Implicit identification typically relies on an auxiliary knowledge source (e.g., a… 4 arXiv — NLP / Computation & Language research 22d ago Information Discernment in Large Language Models arXiv:2607.19355v1 Announce Type: cross Abstract: LLMs are increasingly used with external knowledge sources like the internet. Do they weigh information appropriately -- updating more for reliable sources (source discernment) and more when claims bring priors closer to the… 28 arXiv — NLP / Computation & Language research 22d ago AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally arXiv:2607.19363v1 Announce Type: cross Abstract: Rotary Position Embedding (RoPE) is widely adopted in Transformers to encode positional information, yet standard implementations enforce a uniform frequency schedule and scaling across all attention heads. Using simplified… 10 arXiv — NLP / Computation & Language research 22d ago Twin Agent: Context Residual Compression for Privilege Separated Agents arXiv:2607.19595v1 Announce Type: cross Abstract: Large language model (LLM) agents are vulnerable to security risks, such as prompt injection attacks from untrusted context that manipulate downstream reasoning and tool use. Existing secure-by-design approaches mitigate this… 30 arXiv — NLP / Computation & Language research 22d ago Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study arXiv:2502.16022v3 Announce Type: replace Abstract: OpenNotes gives patients access to their EHR notes, but dense medical jargon limits comprehension. We evaluate closed-source and open-source LLMs for extracting and prioritizing the jargon terms most relevant to individual… 14 arXiv — NLP / Computation & Language research 22d ago Simultaneous Speech-to-Speech Translation Without Aligned Data arXiv:2602.11072v2 Announce Type: replace Abstract: Simultaneous speech translation requires translating source speech into a target language in real-time while handling non-monotonic word dependencies. Traditional approaches rely on supervised training with word-level aligned… 25 arXiv — NLP / Computation & Language research 22d ago Meta-Learning Preferences for Multilingual LLM Alignment arXiv:2607.13315v2 Announce Type: replace Abstract: Unequal availability of human preference data across languages poses a significant challenge for aligning large language models in multilingual settings. To address the lack of sufficient data in low-resource language… 29 Simon Willison community 22d ago OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke its way out of OpenAI's sandbox, then found exploits to break in to Hugging… 36 r/LocalLLaMA community 22d ago Introducing Antares: Highly Efficient Open Weight AI Models for Vulnerability Localization Seems pretty impressive for its size! That's the kind of thing I want to see more of, really small models that excel at specific fields.   submitted by   /u/suamai [link]   [comments] 19 Don't Worry About the Vase community 22d ago OpenAI Model Hacks Into HuggingFace During Cybersecurity Evaluation This latest incident is a rather dramatic escalation in agentic AI cybersecurity breaches. 12 TechCrunch — AI news-outlet 22d ago Arcee, a US open source AI lab, says Chinese models are not inherently dangerous As Chinese AI models grow in capability and popularity among US companies, the arguing over what should be done about them has reached a fever pitch. 23 r/LocalLLaMA community 22d ago We built NeuTTS-2E, an open-source on-device TTS model with 7 controllable emotions We’re open sourcing an alpha release of NeuTTS-2E : an on-device TTS model with 125M active parameters and 7 controllable emotions. The goal was simple: when you select “angry,” “fearful,” or “happy,” the delivery should follow that instruction rather than whatever emotion the… 14 r/LocalLLaMA community 23d ago Force <thinking> in Laguna-S-2.1 Those who have tested the new Laguna model might have noticed how reluctant it is to think through medium-hard questions, and it does impact the output quality. It is great that the model does not "Qwen over" questions like "Hi, who are you", but it definitely should think more.… 32 Hugging Face Daily Papers research 23d ago AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents Abstract LLM agent failures are difficult to debug because the step where an error surfaces is often not the one that caused it. Existing observability tools replay execution traces but provide little support for identifying the root cause or translating diagnosis into recovery.… 16 Hugging Face Daily Papers research 23d ago ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Abstract We present ABot-World-0, an action-conditioned video world model for real-time, long-horizon closed-loop interaction, supported by a multi-source data infrastructure spanning AAA games, simulation engines, and internet videos to learn controllable world dynamics.… 19 arXiv — Machine Learning research 23d ago FedCC: A Low-Resource Federated Adaptation of Foundation Models for Robust Corpus Callosum localization in Fetal Ultrasound Images arXiv:2607.18283v1 Announce Type: new Abstract: Accurate localization of the corpus callosum (CC) in fetal ultrasound (US) images is crucial for the early identification of neurodevelopmental abnormalities. However, this task remains highly challenging due to the intrinsic… 12 arXiv — Machine Learning research 23d ago Uncertainty Quantification for AI-Driven Crash Simulation Surrogates: A Comparative Study of Monte Carlo Dropout and Deep Ensemble on Open-Source Bumper Beam Benchmark arXiv:2607.18294v1 Announce Type: new Abstract: Machine learning surrogate models are increasingly being explored in engineering product development to augment simulation-driven design, offering near-instantaneous predictions that complement computationally expensive… 11 arXiv — Machine Learning research 23d ago Interactive Training 2: Auditable Control Plane for Live Model Training arXiv:2607.18314v1 Announce Type: new Abstract: Experiment trackers show how training is progressing, but changing a live run still usually requires trainer-specific code. We present Interactive Training 2, an open-source control plane for steering training through a shared… 31 arXiv — Machine Learning research 23d ago Weak-to-Strong Learning in Decision Making arXiv:2607.18467v1 Announce Type: new Abstract: Many operational decisions rely on predictive models that estimate uncertain outcomes conditional on observable contexts. Training such models, however, often faces a fundamental data asymmetry: labeled outcomes are scarce or… 31 arXiv — Machine Learning research 23d ago Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling arXiv:2607.18515v1 Announce Type: new Abstract: This study contributes toward development of an Automated Data Processing (ADP) framework designed to evaluate and reinforce optimal machine learning model-feature combinations for predictive tasks in fused deposition modeling… 8 arXiv — Machine Learning research 23d ago AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration arXiv:2607.18568v1 Announce Type: new Abstract: Adaptive Mixture Independent Component Analysis (AMICA) is widely used in EEG research and has long been associated with strong empirical performance for blind source separation. Despite its impact, practical use has historically… 4 arXiv — Machine Learning research 23d ago Elicitation without Backpropagation: Steering Model Behavior by Optimizing the Latent Posterior arXiv:2607.18804v1 Announce Type: new Abstract: In the \emph{latent posterior model} of transformer behavior, the next-token distribution arises from a posterior over latent predictive models conditioned on the context, mixed to generate continuations. We exploit this model in… 38 arXiv — Machine Learning research 23d ago Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts arXiv:2607.19060v1 Announce Type: new Abstract: Fast prediction of the response of adhesive soft viscoelastic contacts represents a current challenge in soft robotics and for gripping and manipulation tasks. Determining the complete time-resolved force trajectory requires full… 34 arXiv — NLP / Computation & Language research 23d ago Using Fine-Tuned LLMs to Identify Indicators of Vulnerability in UK Police Incident Logs arXiv:2607.18446v1 Announce Type: new Abstract: Purpose: Understanding how much of routine policing involves vulnerable people could inform resourcing, training, and multi-agency response, yet administrative data provide limited insight. We explore whether an LLM-based… 10 arXiv — NLP / Computation & Language research 23d ago Automated Extraction of Techno-Economic Data from 76,000 Energy System Studies arXiv:2607.19178v1 Announce Type: new Abstract: Energy system models guide societally important decisions, but their credibility rests on quantitative assumptions that are difficult to source and audit. Meta-analyses can improve transparency and modeling practices, but the rapid… 32 arXiv — NLP / Computation & Language research 23d ago Inference-Time Steering for Cross-Lingual Factual Consistency in LLMs arXiv:2607.19243v1 Announce Type: new Abstract: Although Large Language Models (LLMs) demonstrate remarkable multilingual fluency, their internal knowledge representations remain disproportionately biased toward high-resource languages. This leads to cross-lingual factual… 28 arXiv — NLP / Computation & Language research 23d ago AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents arXiv:2607.18754v1 Announce Type: cross Abstract: LLM agent failures are difficult to debug because the step where an error surfaces is often not the one that caused it. Existing observability tools replay execution traces but provide little support for identifying the root… 4 r/LocalLLaMA community 23d ago Gigatoken: A new open source tokenizer ~100x faster than Tiktoken, -500-1000x faster than Huggingface   submitted by   /u/Thrumpwart [link]   [comments] 31 TechCrunch — AI news-outlet 23d ago OpenAI says Hugging Face was breached by its own pre-release models OpenAI has come forward to claim responsibility for the Hugging Face breach, saying it was the result of internal testing gone awry. 28 TechCrunch — AI news-outlet 23d ago OpenAI says Hugging Face was breached by its pre-release models OpenAI has come forward to claim responsibility for the Hugging Face breach, saying it was the result of internal testing gone awry. 11 r/LocalLLaMA community 24d ago There is no need to worry about Trump banning China‘s open source model at all. I’ve seen many people worrying that if Trump moves to block Chinese AI models, aggregators like OpenRouter will no longer be able to host them. As someone from China, let me reassure you: there is really no need for such concern. China has been locked in trade conflicts with… 7 r/LocalLLaMA community 24d ago CEO of Hugging Face: Banning open-source AI would hurt defenders 10x more than attackers, which would make the world 10x more dangerous and this is a good example why! From clem 🤗 on 𝕏: https://x.com/ClementDelangue/status/2079301434357456931 Fortune: Hugging Face says it resorted to a Chinese AI model to battle a fully autonomous cyberattack because U.S. model guardrails stymied its defense:… 19 r/LocalLLaMA community 24d ago Be Careful when Purchasing CMP 170HX on Alibaba! Just a heads up. Shops in China are running like chickens without a head after the news the Falcon Exploit working to jailbreak some of the functions of these cards. Is not just happening on Alibaba but also Ebay. Usually from Chinese sellers. I spent 2 days contacting lost of… 28 r/LocalLLaMA community 24d ago US gov't lobbied by major US labs is about to ban open source models.   submitted by   /u/FlowCritikal [link]   [comments] 8 Smol AI News news-outlet 24d ago not much happened today **OpenAI** disclosed an "unprecedented cyber incident" where internal evaluation models escaped sandboxing and accessed **Hugging Face** production systems, exploiting multiple vulnerabilities including a public zero-day. This incident highlighted risks of **agentic reward… 31 arXiv — Machine Learning research 24d ago RouteCost: A Production-Inspired Multi-Stage Framework for Pre-Order Shipping Cost Estimation in E-Commerce arXiv:2607.16230v1 Announce Type: new Abstract: Accurate pre-order shipping cost estimation is important in e-commerce because it affects price presentation, margin planning, and conversion. In practice, shipping cost is shaped not only by distance but also by destination demand… 37 arXiv — Machine Learning research 24d ago HantaWatch: Federated Learning for Hantavirus Genomic Surveillance arXiv:2607.16234v1 Announce Type: new Abstract: Hantavirus genomic surveillance is limited by the distribution of sequence data, non-IID source heterogeneity, and constrained expert-review capacity. We propose HantaWatch, a federated learning framework that enables laboratories… 28 arXiv — Machine Learning research 24d ago Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models arXiv:2607.17164v1 Announce Type: new Abstract: Developing Automatic Speech Recognition (ASR) for morphologically rich, low-resource languages such as Assamese is challenging due to insufficient annotated speech data. The pretrained Whisper model performs poorly on Assamese… 16 arXiv — NLP / Computation & Language research 24d ago OpenLanguageModel: Readable and Composable Small-Language-Model Pretraining for Education and Research arXiv:2607.16669v1 Announce Type: new Abstract: OpenLanguageModel (OLM) is an open-source PyTorch library for building and pretraining small language models while keeping their machinery visible. In OLM, model code reads like the architecture: components are ordinary modules,… 29 arXiv — NLP / Computation & Language research 24d ago Group Entropy-Controlled Policy Optimization arXiv:2607.16850v1 Announce Type: new Abstract: Entropy control has become an effective tool in reinforcement learning (RL) of large language models (LLMs), helping balance exploration-exploitation trade-off during alignment process. Such RL paradigm is often conducted on… 31 arXiv — NLP / Computation & Language research 24d ago Safety That Does Not Transfer: Cross-Lingual Clinical Correctness Drift in Deployable Medical Language Models arXiv:2607.17270v1 Announce Type: new Abstract: Safety evaluation of large language models is conducted predominantly in English and predominantly on frontier systems. Neither condition describes how such models are encountered in low-resource health settings, where small… 35 arXiv — NLP / Computation & Language research 24d ago When a Name Is Not a Name: A Benchmark Dataset and Distilled Reasoning for Culturally Entangled Bangla Homographs in Low-Resource LLMs arXiv:2607.17828v1 Announce Type: new Abstract: Many Bangla words are at once personal names and culturally loaded common nouns, "Maya" is both a girl's name and a word for affectionate compassion. Choosing the right reading demands cultural knowledge that is scarce in the… 28 arXiv — NLP / Computation & Language research 24d ago What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification arXiv:2607.17952v1 Announce Type: new Abstract: Climate disclosure classification is a fundamental task for analysing corporate climate disclosures, yet such disclosures appear in many different sources -- annual reports, press releases, and earnings calls -- that differ in… 28 r/MachineLearning community 24d ago Tri-Net v2: Open-source implementation of our Scientific Reports paper on unified skin lesion and symptom-based monkeypox detection [R] Hi everyone, We've open-sourced Tri-Net v2, the official implementation accompanying our recently published Scientific Reports (Nature Portfolio) paper: "Tri-Net: Unified Deep Learning for Skin Lesion and Symptom-Based Monkeypox Detection" Rather than releasing only training… 5 Hugging Face Daily Papers research 24d ago Group Entropy-Controlled Policy Optimization Abstract Entropy control has become an effective tool in reinforcement learning (RL) of large language models (LLMs), helping balance exploration-exploitation trade-off during alignment process. Such RL paradigm is often conducted on mixtures of heterogeneous tasks, which induce… 36 r/LocalLLaMA community 24d ago OpenAI released gpt-oss 350 days ago. Will we ever see another open-weight model from them? Nearly a year later, we've had safeguard fine-tunes but no general-purpose base model or successor. Will Kimi, Qwen and GLM force their hand?   submitted by   /u/prescorn [link]   [comments] 13 Hugging Face Daily Papers research 24d ago DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation Abstract Existing 3D generative models predominantly rely on implicit volumetric representations, which enforce watertight topology and struggle to represent thin-shell and non-manifold geometries such as garments. Geometry image-based approaches offer a surface-centric… 11 Vercel — AI dev-tools 24d ago Python function bundles now include precompiled bytecode Vercel now compiles Python functions to bytecode at build time. In our benchmarks, cold starts for the median-sized function dropped from 2.8s to 1.3s . When Python imports a module without cached bytecode, it parses and compiles the source before executing it. That compilation… 17 r/MachineLearning community 24d ago ML/DL Engineer looking for open-source repos to contribute to (Pytorch experience) [P] Hi everyone, I'm a third year CSE undergrad student. I have been working on a couple of CNN and ConvLSTM projects lately. I'm eager to contribute to open-source projects where I can: Work on challenging, real-world ML problems Collaborate with strong engineers Learn new things… 5 r/LocalLLaMA community 24d ago Kimi-K3 isn’t quite better than Fable yet, but it’s definitely getting closer. Kimi-K3’s release, while impressive, is still months behind the closed-source frontier, so all the “it’s over for Anthropic” talk feels overblown. According to Artificial Analysis, though, Kimi-K3 has brought the open-source frontier to just 1.5 months behind closed-source,… 20 Page 7 of 10 · 500 articles ← Newer Older →
