News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow arXiv — Machine Learning research 21d ago One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification arXiv:2607.20641v1 Announce Type: new Abstract: Federated learning (FL) enables multiple clinical institutions to collaboratively train a shared disease classifier without centralizing patient data. In practice, however, each institution annotates only the pathologies within its… 33 arXiv — Machine Learning research 21d ago Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion arXiv:2607.20742v1 Announce Type: new Abstract: Multimodal learning is a robust approach to improve predictive performance in applications such as medical prognosis. However, the clinical applicability of models that use multimodal learning is hampered by their poor performance… 22 arXiv — Machine Learning research 21d ago HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology arXiv:2607.20896v1 Announce Type: new Abstract: Spatial transcriptomics assays remain costly and technically demanding, restricting transcriptome-wide profiling to specialist settings and preventing routine clinical deployment. Predicting spatially resolved gene expression from… 17 arXiv — Machine Learning research 21d ago Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning arXiv:2607.20914v1 Announce Type: new Abstract: Federated parameter-efficient fine-tuning (PEFT) enables communication-efficient adaptation of large pretrained models on decentralized edge data, but it remains fragile under non-IID client heterogeneity. In low-rank adaptation… 4 arXiv — Machine Learning research 21d ago Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference arXiv:2607.21162v1 Announce Type: new Abstract: Outsourced Transformer inference exposes clients to model substitution and incomplete execution, while direct replay removes the computational benefit of delegation. We present GKR-HND, a registered-model protocol for verifying the… 37 arXiv — Machine Learning research 21d ago M$^3$-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data arXiv:2607.21343v1 Announce Type: new Abstract: Integrating heterogeneous biomedical data, including clinical metadata, histopathology images, and molecular profiles, is crucial for comprehensive disease understanding. However, gene expression data acquisition remains… 16 arXiv — NLP / Computation & Language research 21d ago Human-in-the-Loop Large Language Model Framework for Identification of Cutaneous Immune-Related Adverse Events arXiv:2607.20428v1 Announce Type: new Abstract: This study evaluated a retrieval-augmented, multi-agent large language model (LLM)-driven, human-in-the-loop framework for detecting cutaneous immune-related adverse events (cirAEs) from clinical notes. Compared with unassisted… 28 arXiv — NLP / Computation & Language research 21d ago A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction arXiv:2607.20453v1 Announce Type: new Abstract: Large language models show promise for clinical prediction, but zero-shot performance on specialized tasks is limited by incomplete domain knowledge, especially for smaller locally deployable models. We present a lightweight… 27 arXiv — NLP / Computation & Language research 21d ago MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education arXiv:2607.21570v1 Announce Type: new Abstract: Large Language Models (LLMs) show promise for medical education, but most existing systems focus on localized interactions such as question answering or single-turn feedback, rather than organizing an entire clinical case into a… 17 Hugging Face Daily Papers research 21d 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 21d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 22d 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 23d 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 23d 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 23d 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 23d 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 23d 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 23d 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 23d 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 23d 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 23d 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 24d 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 24d 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 24d 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 24d 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 24d 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 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 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 24d 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 24d 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 25d 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 25d 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 25d 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 25d 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 25d 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 25d 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 25d 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 25d 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 Page 5 of 10 · 500 articles ← Newer Older →
