News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow arXiv — NLP / Computation & Language research 29d ago MedTRACE: Tool-Augmented Multimodal Clinical Reasoning Agents for Evidence-Grounded Decision-Making arXiv:2609.14823v1 Announce Type: new Abstract: Multimodal clinical decision-making requires reliable reasoning over heterogeneous evidence from electronic health records, medical images, and physiological signals. Existing models typically map these inputs directly to diagnoses… 30 arXiv — NLP / Computation & Language research 29d ago Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection arXiv:2609.14825v1 Announce Type: new Abstract: Large language models (LLMs) are often deemed unsafe for clinical question answering because of their tendency to hallucinate. Retrieval augmentation, fine-tuning, and external verifiers require new infrastructure that clinical… 32 arXiv — NLP / Computation & Language research 29d ago EMR: Self-Evolving Medical Multi-Agent System via Experience Mining and Reuse arXiv:2609.15161v1 Announce Type: new Abstract: Large language model (LLM) driven multi-agent systems have shown promise in complex clinical reasoning, yet existing approaches rely on static strategies and lack persistent clinical memory, preventing self-evolving from prior… 27 Vercel — AI dev-tools 1mo ago AI SDK harness layer now supports native subscription authentication The AI SDK harness layer now supports authenticating harnesses through their native subscriptions, where the underlying harness supports them. The harness layer runs different coding agents through the same HarnessAgent interface, so you can switch agents without changing your… 29 r/MachineLearning community 1mo ago MS MARCO click-translation expansion tables ("poor man's" DSSM) [P] TLDR: I made "poor man’s" DSSM (Deep Structured Semantic Model) — the count-based translation table that can enrich the inverted index for full-text search. This trick can improve baseline BM25. So the idea is the following: - You have supervised pairs (query, relevant… 15 r/MachineLearning community 1mo ago [P] Built a 100% Client-Side Vision Pipeline for Real-Time Chessboard & Multi-Board Detection (Chrome/Firefox Extension) [P] Hi everyone, Inspired by tools like Chessvision.ai, I wanted to take a different architectural approach and build a browser extension ( ChessInsights AI ) that performs chessboard detection and piece recognition 100% client-side using local inference—with zero image data ever… 23 arXiv — Machine Learning research 1mo ago Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning arXiv:2609.11937v1 Announce Type: new Abstract: The deployment of Federated Learning (FL) in multi-center clinical networks faces the challenge of "knowledge dominance," where high-volume hubs naturally overwhelm minority community nodes, implicitly treating the distinct… 33 arXiv — Machine Learning research 1mo ago DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning arXiv:2609.11997v1 Announce Type: new Abstract: Learning robust representations for time-series signals under noise and distribution shifts remains challenging, especially in clinical applications such as electroencephalogram (EEG) and electrocardiogram (ECG) analysis. We… 5 arXiv — Machine Learning research 1mo ago Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning arXiv:2609.12014v1 Announce Type: new Abstract: Safe offline reinforcement learning assumes a cost function on every transition. We ask what remains possible when safety can be judged only by comparing short clips and occasionally asking whether an episode exceeded its budget.… 26 arXiv — Machine Learning research 1mo ago Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise arXiv:2609.12119v1 Announce Type: new Abstract: Stochastic gradient descent (SGD) with gradient clipping and additive noise has become a standard technique for training machine learning models, particularly in applications requiring robustness or privacy guarantees. However,… 30 arXiv — Machine Learning research 1mo ago Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models arXiv:2609.12277v1 Announce Type: new Abstract: Electronic health record (EHR) foundation models trained on longitudinal patient trajectories have demonstrated strong performance across diverse clinical prediction tasks. However, their clinical reasoning capabilities remain… 14 arXiv — Machine Learning research 1mo ago LatentVerse: A Framework for Understanding Shared and Modality-Specific Information in Multimodal Latent Representations arXiv:2609.12364v1 Announce Type: new Abstract: Latent embeddings have become a central data abstraction in modern machine learning, especially in biomedicine, where foundation models are increasingly used to encode multimodal data like clinical text, medical images, omics, and… 19 arXiv — Machine Learning research 1mo ago Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective arXiv:2609.12752v1 Announce Type: new Abstract: Objective Prediction models are commonly trained using objectives such as Bernoulli negative log-likelihood (NLL), although downstream clinical decisions may depend on specific risk thresholds. We introduce Smooth Net Benefit… 12 arXiv — Machine Learning research 1mo ago Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning arXiv:2609.12903v1 Announce Type: new Abstract: Federated learning over IEEE~802.11 shares the wireless channel among clients that send model updates. We use ns-3 to measure the frame-delivery ratio and saturation throughput for different client densities and offered loads. A… 9 arXiv — Machine Learning research 1mo ago DynSHAP: Towards Explainable Dynamic Survival Analysis arXiv:2609.13042v1 Announce Type: new Abstract: Deep learning models for dynamic survival analysis (DSA) achieve strong predictive performance by incorporating longitudinal patient data, but their black box nature limits clinical trust and adoption. Existing explainability… 15 arXiv — NLP / Computation & Language research 1mo ago Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework arXiv:2609.12254v1 Announce Type: new Abstract: The climate literature has grown faster than review teams can read it. That gap matters most for a concept like the environmental social tipping point, the threshold at which a small change triggers rapid, self-reinforcing change… 16 arXiv — NLP / Computation & Language research 1mo ago Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification arXiv:2609.12544v1 Announce Type: new Abstract: Clinical de-identification relies on accurately identifying personally identifiable information (PII). However, manually annotated datasets are costly to construct, while existing synthetic alternatives often provide limited… 29 arXiv — NLP / Computation & Language research 1mo ago MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification arXiv:2609.12884v1 Announce Type: new Abstract: A medical claim's correctness often depends not on the claim alone, but on the clinical structure around it. A claim may require a lab reference range, a causal or conditional link, or patient-specific details to be judged… 14 arXiv — NLP / Computation & Language research 1mo ago False positive bias in AI-powered speech-based cognitive screening for multilingual English speakers in the UK arXiv:2602.13047v3 Announce Type: replace Abstract: Conversational speech reveals early signs of cognitive decline, including dementia and mild cognitive impairment (MCI). AI models show promise for speech-based screening, yet most research focuses on monolingual groups. In the… 28 arXiv — NLP / Computation & Language research 1mo ago From Bench-to-Bedside: A Review of Clinical Trials in Drug Discovery and Development arXiv:2412.09378v4 Announce Type: replace-cross Abstract: Clinical trials bridge basic research and clinical application, serving as essential steps in drug development. This review examines clinical trial phases (Phase I [safety assessment], Phase II [efficacy evaluation],… 38 r/MachineLearning community 1mo ago Got scipy's KD-tree to handle inserts and deletes without rebuilding. Three things I learned [P] I built a small library called whitetree for exact Mahalanobis nearest-neighbour search on low-dimensional sensor data that keeps arriving. The idea is old. Whiten with the Cholesky factor of the covariance so Mahalanobis becomes Euclidean, then keep several scipy cKDTrees… 34 llama.cpp releases dev-tools 1mo ago b10944 sycl : Fix get mem error ( #28227 ) fix for unsupport zes API optimize the code adjust the log level rm unused head files Update docs/backend/SYCL.md Co-authored-by: Titaniumtown titaniumtown@proton.me fix the error to detect level zero SDK/dev package, stop build after detect… 29 Hacker News — AI on Front Page community 1mo ago Linux Zoom client proactively reading everything written to X11 clipboard Article URL: https://hachyderm.io/@simontatham/117201594980991062 Comments URL: https://news.ycombinator.com/item?id=49675902 Points: 208 # Comments: 63 12 TechCrunch — AI news-outlet 1mo ago Kimi-maker Moonshot AI targets $2 billion in annual revenue While K3's usage figures have declined slightly in recent months, OpenRouter data currently shows as many as 300 billion tokens being generated each day by K3 models on the system. 23 arXiv — Machine Learning research 1mo ago DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction arXiv:2609.10796v1 Announce Type: new Abstract: Pretrained diabetic retinopathy (DR) prediction models differ in their input fields, serialization formats, preprocessing requirements, and output semantics. Making these models accessible through a common clinical interface… 11 arXiv — Machine Learning research 1mo ago Musec: MomentUm SpEctral Clipping for Stable Muon-type Training arXiv:2609.11655v1 Announce Type: new Abstract: Muon has emerged as a highly effective optimizer for large language model training, often achieving superior convergence and performance compared with the widely adopted Adam and AdamW optimizers. Nevertheless, Muon is prone to… 8 arXiv — NLP / Computation & Language research 1mo ago Cross-Lingual Clinical Annotation Projection as Constrained Text Generation: A Six-Language Study arXiv:2609.11450v1 Announce Type: new Abstract: Background: To determine whether cross-lingual clinical annotation projection can be formulated as a text-preserving, document-level generative task that produces verifiable character-level annotations for multilingual clinical… 8 arXiv — NLP / Computation & Language research 1mo ago Component-Aware Differential Privacy for Federated Multilingual Speech-LLMs arXiv:2609.11762v1 Announce Type: new Abstract: Per-layer differential privacy (DP) clipping improves gradient fidelity in federated learning by allocating per-matrix clipping budgets proportional to parameter count. We show that this recipe breaks for speech large language… 13 arXiv — NLP / Computation & Language research 1mo ago The widening evaluation gap in medical large language model research 2023 to 2026 arXiv:2609.11770v1 Announce Type: new Abstract: Large language models are superseded every few quarters; clinical evidence takes years. We asked whether medical research is keeping pace with the systems it evaluates. PubMed returned 11,628 records for January 2023 to June 2026… 13 arXiv — NLP / Computation & Language research 1mo ago Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation arXiv:2601.15645v2 Announce Type: replace Abstract: Large-scale language models (LLMs) often offer clinical judgments based on incomplete information, increasing the risk of misdiagnosis. Existing studies have primarily evaluated confidence in single-turn, static settings,… 28 Vercel — AI dev-tools 1mo ago How Featured's users make 100K media pitches per month on Vercel Featured on Vercel 3 engineers supporting 3 brands and 100,000+ users on Vercel Migrated 374 Sanity sites from AWS Elastic Beanstalk to Vercel AI SDK and AI Gateway power Featured's chat bot across 17 models Workflow SDK replaced custom long-running job infrastructure Featured… 38 llama.cpp releases dev-tools 1mo ago b10897 ci : Update WoA CUDA 13.4 release to use 13.4.1 GA redistributables ( #28687 ) Move Windows ARM64 CUDA 13.4 builds from the Developer Preview archives to the 13.4.1 GA redistributables Website: https://llama.app Attestations:… 17 Vercel — AI dev-tools 1mo ago GitHub Copilot is now available in the AI SDK harness layer The AI SDK harness layer now supports GitHub Copilot through the official @ai-sdk/harness-github-copilot adapter. The harness layer lets your application run different coding agents through the same HarnessAgent interface, so you can switch agents without changing your… 28 r/LocalLLaMA community 1mo ago LoudKit: local TTS with voice cloning, 10 languages, and SDKs for Python, Swift, Go, Rust and TypeScript hey guys, I've been working on a reading app for several months now and had problems with getting good quality TTS, the options were kokoro, kitten, pocket but all of them even though they were sounding natural had some problems when listening longer. Last month I took upon… 14 r/LocalLLaMA community 1mo ago Closed AI doesn't like biological research, user turns to open weight models OpenAI has decided to fully shut down a protein design project I'm working on for a client. Needless to say, open weight models are the only way forward.   submitted by   /u/Terminator857 [link]   [comments] 24 OpenAI official-blog 1mo ago Introducing ChatGPT for Financial Services Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials. 15 arXiv — Machine Learning research 1mo ago CALM: Class-wise Agreement and Label-gated Disagreement Modulation for Decentralized Federated Learning arXiv:2609.05884v1 Announce Type: new Abstract: Conventional federated learning relies on parameter averaging, which forces clients to be doubly homogeneous: all must run an identical architecture, and accuracy degrades when local data are non-IID. Decentralized federated… 38 arXiv — Machine Learning research 1mo ago Machine Learning for Pre-Culture ESBL Risk Stratification to Guide Empiric Antibiotic Selection: A 12-Hospital Study of Enterobacteriaceae Cultures arXiv:2609.05970v1 Announce Type: new Abstract: Empiric antibiotic therapy for suspected ESBL-producing Enterobacteriaceae must be selected 48-72 hours before culture results, forcing clinicians to choose between undertreating resistant infections and overusing carbapenems that… 12 arXiv — Machine Learning research 1mo ago Granular-Ball Quantum Clustering for Resource-Efficient and Robust Learning arXiv:2609.06016v1 Announce Type: new Abstract: Quantum clustering aims to exploit quantum feature representations to uncover complex data structures beyond conventional Euclidean geometry. Yet this sample-level kernel construction requires O(n^2) quantum circuit executions for… 20 arXiv — Machine Learning research 1mo ago FedSubMuon: Communication-Efficient Federated LLM Fine-Tuning via Structured Subspace Muon arXiv:2609.06073v1 Announce Type: new Abstract: Federated fine-tuning adapts large language models (LLMs) to decentralized client data, but its scalability in cross-device training is often limited by the high communication cost. Muon is an optimizer that improves optimization… 18 arXiv — Machine Learning research 1mo ago PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us arXiv:2609.06080v1 Announce Type: new Abstract: Deeply phenotyped cohorts combine clinical, imaging, molecular, and wearable observations across timescales from seconds to years. This breadth can reveal which measurements inform which health-related questions, but heterogeneous… 25 arXiv — Machine Learning research 1mo ago Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation arXiv:2609.06154v1 Announce Type: new Abstract: One-shot federated graph learning generally aims to train Graph Neural Networks (GNNs) across clients with disconnected subgraphs in a single communication round. Existing methods predominantly design advanced optimization… 8 arXiv — Machine Learning research 1mo ago Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering arXiv:2609.06384v1 Announce Type: new Abstract: Motivated by the growing importance of fairness in machine learning, fair $k$-center clustering has attracted considerable research attention as a fundamental problem. In this problem, a dataset is partitioned into $m$ disjoint… 8 arXiv — Machine Learning research 1mo ago Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning arXiv:2609.06499v1 Announce Type: new Abstract: One-shot federated graph learning (FGL) requires the server to estimate client contributions from highly compressed information, yet conventional volume-based weighting captures the amount of client data while overlooking how its… 5 arXiv — Machine Learning research 1mo ago DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing arXiv:2609.06779v1 Announce Type: new Abstract: Drug repurposing aims to identify new therapeutic uses for existing compounds and, compared with de novo drug discovery, offers a faster and more cost-effective path to clinical translation. However, the space of candidate… 18 arXiv — NLP / Computation & Language research 1mo ago SymbolicLight V2: Hybrid Neuromorphic Architecture and Sparse Execution for Low-Energy Language Inference arXiv:2609.09772v1 Announce Type: new Abstract: SymbolicLight V2 combines sparse event computation with continuous-state processing in a hybrid neuromorphic language architecture. Extending V1's spike-gated dual paths, it adds graded signed events at further projections and… 10 arXiv — NLP / Computation & Language research 1mo ago MedDeID enables locally governed clinical-text de-identification from real or synthetic training data arXiv:2609.10049v1 Announce Type: new Abstract: Clinical notes contain personally identifiable information (PII), restricting reuse for research and medical AI, especially when data cannot leave an institution. We developed MedDeID, an on-premises framework combining in-house… 36 arXiv — NLP / Computation & Language research 1mo ago AgenticGen: Reward-Guided Agentic Video Generation for Advertising arXiv:2609.09187v1 Announce Type: cross Abstract: Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose success is measured by online business metrics. Recent video foundation models can generate realistic clips… 23 arXiv — NLP / Computation & Language research 1mo ago An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems arXiv:2609.09551v1 Announce Type: cross Abstract: Recommender systems have become core infrastructure for modern online platforms, personalizing content at scale and strongly influencing what users see, click on, and purchase. However, this dependence on user interaction also… 19 r/MachineLearning community 1mo ago I tried to make a real fly connectome learn to play Pong. It didn't — and auditing why turned out to be way more interesting than if it had worked [p] You've probably seen the fly-brain-plays-Doom / Minecraft / Beat Saber clips going around this week, from the new MaleCNS v1.0 connectome release (166k neurons, real EM reconstruction, not a toy model). Cool clips. Nobody seemed to be checking whether any of it works though,… 30 Page 6 of 10 · 500 articles ← Newer Older →
