News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow Hugging Face Daily Papers research 1mo ago Moving Alphabet: A Controlled Study of Training Data for Text-to-Video Generation Abstract Text-to-video generation has advanced significantly over the past five years through scaling of model size, data, and compute. Unlike model architecture, training data is often underexplored. Real-world data curation is complex and non-trivial, involving clip selection… 25 Hacker News — AI on Front Page community 1mo ago Alphabet's cash burn raises alarm for Big Tech as AI spending climbs Article URL: https://www.reuters.com/business/retail-consumer/alphabets-cash-burn-raises-alarm-big-tech-ai-spending-climbs-2026-07-23/ Comments URL: https://news.ycombinator.com/item?id=49021006 Points: 217 # Comments: 202 9 Hugging Face Daily Papers research 1mo ago Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization Abstract Reinforcement learning (RL) has become a dominant paradigm for enhancing LLMs' reasoning capabilities. However, RL algorithms with PPO-Clip are inherently limited by exploration collapse. Subsequent works remain primarily heuristic and fail to identify the essential… 31 arXiv — Machine Learning research 1mo ago SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning arXiv:2607.19384v1 Announce Type: new Abstract: Real-world intelligent systems often require both distributed collaboration across data-isolated clients and continual adaptation to evolving tasks. This setting naturally gives rise to Federated Class Incremental Learning (FCIL),… 5 arXiv — Machine Learning research 1mo ago Recovering Clinical Utility Under Differential Privacy: Empirical Validation of Adaptive Federated Aggregation on Heterogeneous Cardiovascular Datasets arXiv:2607.19403v1 Announce Type: new Abstract: Validating federated learning frameworks on real clinical data is an essential step between proof-of-concept demonstrations in controlled synthetic environments and deployment in real multicenter healthcare settings. A prior… 6 arXiv — Machine Learning research 1mo ago REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning arXiv:2607.19450v1 Announce Type: new Abstract: Large-scale online reinforcement learning (RL) is the predominant means of eliciting advanced abilities including long-term reasoning and agentic tool use in large language models (LLMs). However, continuing to scale it across vast… 16 arXiv — Machine Learning research 1mo ago SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework arXiv:2607.19524v1 Announce Type: new Abstract: Federated learning (FL) offers a promising approach to privacy-preserving clinical risk prediction, but its deployment remains limited by restricted data sharing, client heterogeneity, class imbalance, and the lack of realistic… 12 arXiv — Machine Learning research 1mo ago Zero-Shot Heart Rate Variability Forecasting from Consumer Wearables Using Time Series Foundation Models arXiv:2607.20027v1 Announce Type: new Abstract: Short-term Heart Rate Variability (HRV) forecasting could provide clinicians with actionable lead time for detecting autonomic dysfunction and adverse cardiac events. Consumer wearable devices generate fragmented, artifact-rich HRV… 18 arXiv — Machine Learning research 1mo ago PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring arXiv:2607.20237v1 Announce Type: new Abstract: Rehabilitation scoring systems are most useful when their outputs can be reviewed and interpreted within clinical workflows. This study presents PhaseAware, a compact framework for continuous rehabilitation quality assessment that… 13 arXiv — NLP / Computation & Language research 1mo ago Self-supervision drives representational convergence in medical foundation models more than clinical supervision arXiv:2607.20274v1 Announce Type: cross Abstract: Medical image encoders from different groups are increasingly treated as interchangeable, on the assumption that scale and clinical supervision concentrate their representations onto a shared structure. Whether this convergence… 8 Vercel — AI dev-tools 1mo ago Inspect feature flag history with Vercel CLI Vercel Flags version history can now be inspected from the Vercel CLI with the new vercel flags versions command. Run vercel flags versions to print the full revision history for a flag, with each revision's author, message, timestamp, and changed environments. Filter to a… 13 Vercel — AI dev-tools 1mo ago WebSocket support is now available for Python Functions Vercel now supports WebSocket connections for Python applications. WebSockets enable bidirectional communication between client- and server-side code, powering real-time features like interactive AI streaming, real-time chat, and multiplayer live collaboration. Both ASGI and… 7 r/LocalLLaMA community 1mo ago Session-Adaptive Orthogonal Distillation (SAOD)? Technology compresses 744B (1.5TB) to under 100GB? Tweet : https://xcancel.com/jun_song/status/2079914426334167258#m Looks like 8GB VRAM could do more like even run 70-100B MOE models possibly. Sorry about the clickbait title, I want more eyes on this..... zzz   submitted by   /u/pmttyji [link]   [comments] 17 r/LocalLLaMA community 1mo ago microsoft/Fara1.5-27B · Hugging Face Fara1.5-27B is a multimodal computer use agent (CUA) for web browsers, from Microsoft Research AI Frontiers . It observes the browser through screenshots and acts on the user's behalf by emitting structured tool calls — click, type, scroll, visit URL, web search, and so on — to… 37 OpenAI Python SDK releases dev-tools 1mo ago v2.47.0 2.47.0 (2026-07-21) Full Changelog: v2.46.0...v2.47.0 Features client: Add experimental runtime support for HTTPX2 clients ( #3524 ) ( 317260c ) stlc: configurable CI runner and private-production-repo support in workflow templates ( 4303e97 ) Bug Fixes deps: require patched… 35 Stratechery (Ben Thompson) community 1mo ago OpenAI Hacks Hugging Face, What Happened, Alignment and Paper Clips OpenAI accidentally hacked Hugging Face, but the takeaways are more encouraging than people realize. 10 Hugging Face Daily Papers research 1mo ago Trajectory-aware Cross-view Geo-localization with Sequential Observations Abstract Cross-view geo-localization matches ground-level observations against geo-tagged satellite imagery. Recent methods show that sequential queries such as video clips yield richer spatiotemporal cues than single images, yet they overlook a complementary sequential… 23 arXiv — Machine Learning research 1mo ago TD-DPO: Difference-Aware Preference Optimization for Mitigating Sycophancy in Clinical Autism Intervention Dialogue arXiv:2607.18304v1 Announce Type: new Abstract: The sycophancy of large language models can increase the safety risk in intervention dialogue for autistic children. Supervised fine-tuning can somewhat reduce sycophancy, but relying solely on positive examples is often… 21 arXiv — Machine Learning research 1mo ago KALE: Kernel Alignment with Loss Equilibration for Stable CLIP-DINOv2 Alignment at Web Scale arXiv:2607.18885v1 Announce Type: new Abstract: Kernel-based alignment of CLIP toward a vision centric teacher such as DINOv2 (KUEA) improves CLIP's visual representations while preserving text-encoder compatibility, using a fixed trade-off weight tuned on curated ImageNet-1K.… 35 arXiv — Machine Learning research 1mo ago Biological Amnesia in ICU Time-Series Prediction: A Drift-Adaptive Two-Stream Architecture with Temporal Retrieval arXiv:2607.19020v1 Announce Type: new Abstract: Background: Clinical decision support systems degrade silently as treatment protocols evolve, yet standard adaptation methods treat models as monolithic blocks, unable to distinguish stable patient physiology from shifting… 11 arXiv — NLP / Computation & Language research 1mo ago MIRA-Ev:A Benchmark for Granular Evidence Detection and Relational Reasoning in Clinical Exams arXiv:2607.19201v1 Announce Type: new Abstract: Clinical NLP evaluation remains dominated by multiple-choice question answering (MCQA), which scores only final-answer accuracy and cannot detect when a model reaches the correct diagnosis while grounding it in irrelevant, absent,… 13 arXiv — NLP / Computation & Language research 1mo ago MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications arXiv:2409.07314v3 Announce Type: replace Abstract: While Large Language Models (LLMs) achieve superhuman performance on standardized medical licensing exams, these static benchmarks have become saturated and increasingly disconnected from the functional requirements of clinical… 17 Anthropic SDK (Python) releases dev-tools 1mo ago v0.117.1 0.117.1 (2026-07-21) Full Changelog: v0.117.0...v0.117.1 Bug Fixes aws: handle credentials correctly when using AnthropicAWS.copy() ( 85d3881 ) Chores api: add support for new refusal category ( d1dea0b ) client: docs updates ( b14f94c ) deps: bump http-snapshot to 0.1.9 ( #275… 35 r/LocalLLaMA community 1mo ago Torrents arrived I've been working on this project that makes LLM distributions decentralized and fast using torrents. Read more about tech on Github . Website: https://llama.garden Suggested client: Transmission News: - Added more web seed URLs that go through our API that will increase speeds… 35 arXiv — Machine Learning research 1mo ago Token-Level Cross-Modal Transformer with Contrastive Multi-Task Learning for Breast Cancer Subtype Classification and Survival Prediction arXiv:2607.16233v1 Announce Type: new Abstract: Integrating heterogeneous genomic and clinical modalities for joint cancer subtype classification and survival prediction remains a key challenge in precision oncology. Existing approaches suffer from three limitations: (1) they… 12 arXiv — Machine Learning research 1mo ago Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records arXiv:2607.16662v1 Announce Type: new Abstract: Accurate emergency triage decision is critical to avoid clinical deterioration, morbidity, and mortality. Machine learning-based triage system involves acquiring the main presenting complaint in text form and assessing vital signs… 4 arXiv — Machine Learning research 1mo ago Enhancing Personalized Bladder Cancer Treatment Through Reinforcement Learning: A Recurrent Patient State Transition Decision Support Framework arXiv:2607.16916v1 Announce Type: new Abstract: Bladder cancer treatment requires personalized and adaptive decision-making, particularly for recurrent disease, where treatment effectiveness changes across successive clinical episodes. Conventional clinical decision support… 8 arXiv — Machine Learning research 1mo ago Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis arXiv:2607.17024v1 Announce Type: new Abstract: Air pollution and climate-related stressors are increasingly important concerns for respiratory health, especially in settings with unequal environmental exposure and healthcare capacity. This study evaluates an interpretable… 35 arXiv — NLP / Computation & Language research 1mo ago Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries arXiv:2607.16989v1 Announce Type: new Abstract: Introduction. Clinical and Translational Science Award (CTSA) programs must document their scholars' research impact, but assembling each scholar's record by hand takes staff an estimated 15 hours and does not scale to a full… 20 arXiv — NLP / Computation & Language research 1mo 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 1mo 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 arXiv — NLP / Computation & Language research 1mo ago After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation arXiv:2607.17513v1 Announce Type: cross Abstract: Expert domains are trees; the Euclidean transformer is not, diluting parent-child structure exponentially at depth. The hyperbolic turn left one question unasked: not how much of a network to curve, but where curvature may touch… 4 arXiv — NLP / Computation & Language research 1mo ago Mobius Learning: Cyclic Depth Folding in Transformers arXiv:2607.17843v1 Announce Type: cross Abstract: Transformer-based language models organize computation along an ordered depth axis, where shallow and deep blocks often develop distinct representational roles. We challenge the conventional view that these roles must remain tied… 17 arXiv — Machine Learning research 1mo ago LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models arXiv:2607.15447v1 Announce Type: new Abstract: Recent research in clinical machine learning, focusing on outcome predictions in intensive care unit (ICU), has shifted from bespoke supervised models to foundation models, utilising modern representation learning methods. Here,… 36 arXiv — Machine Learning research 1mo ago PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment arXiv:2607.16156v1 Announce Type: new Abstract: Urban intersections are among the most hazardous locations in road networks, posing significant risks to vehicles and vulnerable road users (VRUs) such as pedestrians and cyclists. The complexity of multi-agent interactions demands… 7 arXiv — NLP / Computation & Language research 1mo ago Large Language Models as Unified Multimodal Learners for Clinical Prediction arXiv:2607.15380v1 Announce Type: new Abstract: Electronic health records combine free-text clinical narratives with structured measurements such as vital signs, laboratory values, and comorbidities. Yet most clinical prediction systems still rely on task-specific fusion… 22 arXiv — NLP / Computation & Language research 1mo ago Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding arXiv:2604.16370v3 Announce Type: replace Abstract: Decoding natural language from non-invasive electroencephalography (EEG) remains constrained by low signal-to-noise ratio and limited information bandwidth. This raises a central question: can sentence-level language be… 29 arXiv — NLP / Computation & Language research 1mo ago Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering arXiv:2604.04593v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) grounds large language models in external medical knowledge, yet standard retrievers frequently surface hard negatives that are semantically close to the query but describe clinically… 36 Hugging Face Daily Papers research 1mo ago Cura 1T: Specialized Model for Agentic Healthcare Abstract Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized LLMs that cover these use cases together remain limited. A healthcare model must handle patient consultation, clinical reasoning over text and images, interactive… 20 Hugging Face Daily Papers research 1mo ago Audio-Visual Flamingo: Open Audio-Visual Intelligence for Long and Complex Videos Abstract We present Audio-Visual Flamingo (AV-Flamingo), a fully open state-of-the-art audio-visual large language model (AV-LLM) for joint understanding and reasoning over audio, images, and long-form videos. Unlike prior AV-LLMs that primarily focus on short clips, AV-Flamingo… 9 Vercel — AI dev-tools 1mo ago Purge your Remote Cache's build and CI artifacts Team Owners can now clear the team's Remote Cache of all artifacts in one click. This is useful when you believe there are poisoned artifacts in your cache. In your team's Build and Deployment settings, visit the Remote Caching section and clear the Remote Cache. Visit the docs… 25 r/LocalLLaMA community 1mo ago i couldnt find anyone making full movies locally on a mac, so heres what that looks like right now i searched around for people making actual finished films on their own hardware. not clips, whole movies with story, narration, music and credits, all local. couldnt really find anyone talking about it, so im posting mine in case someone searches this later and wants to see… 14 r/LocalLLaMA community 1mo ago Tool for reproducible management of agent skills Hi LocalLLaMA! I've been building a small CLI tool for managing agent skills. I wanted a quick way to add and switch between different skill sets without manually copying folders around or losing track of which revision was installed (I tend to try different variations of the… 26 r/MachineLearning community 1mo ago TabFM Studio: point-and-click predictions on spreadsheets with tabular foundation models, fully local [P] I built a small web app that lets you run tabular foundation models (currently just Google's TabFM) on spreadsheets without writing any code. Just drop in a CSV/Excel file, click a column header to mark what to predict, hit predict. Rows where the target cell is filled become… 23 Simon Willison community 1mo ago LLM cliché highlighter Tool: LLM cliché highlighter I got frustrated reading yet another article that was crammed with the clichés of LLM-generated writing - "no fluff, no filler, no jargon" type stuff - so I had Fable 5 vibe code up this app for highlighting ten common patterns that show up in that… 35 arXiv — Machine Learning research 1mo ago A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization arXiv:2607.14190v1 Announce Type: new Abstract: Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use, remains challenging. We developed a time-to-event,… 35 arXiv — Machine Learning research 1mo ago TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories arXiv:2607.14191v1 Announce Type: new Abstract: Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation models remains largely unexplored. Here we present TEDDY (Temporal Event Decoder… 15 arXiv — NLP / Computation & Language research 1mo ago Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks arXiv:2607.14205v1 Announce Type: cross Abstract: Federated learning (FL) enables multi-institutional training on clinical text without sharing raw data, but gradient inversion can reconstruct sensitive information from shared model updates. The extent of this leakage for… 21 arXiv — Machine Learning research 1mo ago Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning arXiv:2607.14367v1 Announce Type: new Abstract: Federated fine-tuning of large pre-trained models increasingly relies on Low-Rank Adaptation (LoRA) to reduce communication and computation, but heterogeneous clients can make adapter aggregation unstable. We identify the… 37 arXiv — Machine Learning research 1mo ago Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis arXiv:2607.14613v1 Announce Type: new Abstract: Long-tailed label distributions reduce the reliability of deep learning for electrocardiogram (ECG) arrhythmia diagnosis, particularly for clinically important but rare abnormalities. Existing rebalancing and logit adjustment… 10 Page 8 of 10 · 500 articles ← Newer Older →
