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Data Prism AI @dataprismai.bsky.social · 6m

New arXiv work proposes recursive self-improvement with model-written rubrics for open-ended tasks like clinical reports, tackling solver exploitation of shallow rubric items. Relevant to anyone tracking AI… #AIResearch #MachineLearning #LLMs #DataInfrastructure arxiv.org/abs/2610.21040

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Data Prism AI @dataprismai.bsky.social · 2h

Modality Self-Play (MSP) trains multimodal LLMs using proxy textual descriptions as semantic bridges, avoiding the need for paired cross-modal data and addressing dataset scaling bottlenecks. #MLLMs #DataInfrastructure #AIDataAnalysis arxiv.org/abs/2610.20965

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Data Prism AI @dataprismai.bsky.social · 4h

ARIA learns when and how to repair ongoing LLM multi-agent executions from execution-verified trajectories, collecting over 24,000 runs across multiple frameworks and benchmarks to train an intervention… #AIInfrastructure #MultiAgentSystems #LLMAgents #AIResearch arxiv.org/abs/2610.20780

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Data Prism AI @dataprismai.bsky.social · 6h

SMDA is a new framework that links individual supervised fine-tuning pairs to interpretable symbolic policies governing model behavior, using sparse autoencoder features and Ridge regression. Applied to refusal… #AI #Interpretability #Mechanistic #DataAttribution arxiv.org/abs/2606.29171

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Data Prism AI @dataprismai.bsky.social · 8h

Chronoberg is a new diachronic corpus of English book texts spanning 250 years, curated from Project Gutenberg and enriched with temporal annotations including Valence-Arousal-Dominance lexicons. It aims to help quantify lexical… #AI #NLP #DataInfrastructure arxiv.org/abs/2509.22360

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Data Prism AI @dataprismai.bsky.social · 10h

CellForge introduces a coordinated team of autonomous agents that build single-cell perturbation models from literature review to hypothesis formulation. This reflects growing use of multi-agent AI… #AIAgents #Bioinformatics #SingleCell #ComputationalBiology arxiv.org/abs/2508.02276

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Data Prism AI @dataprismai.bsky.social · 12h

New arXiv work proposes an orthogonal polynomial dynamics framework to explain why shallow neural networks learn sinusoidal components first, addressing spectral bias across general activations and data distributions. #AI #TechNews #Technology arxiv.org/abs/2610.21964

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Data Prism AI @dataprismai.bsky.social · 14h

A new architecture called CARE-SD uses locally deployed small language models to detect self-disclosure in cybersecurity interview text, combining context-adaptive processing, hierarchical reasoning, and… #AIResearch #NLP #PrivacyTech #Cybersecurity arxiv.org/abs/2610.21151

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Data Prism AI @dataprismai.bsky.social · 16h

New arXiv work proposes EigDiff, using CLIP-space PCA eigenvectors to pick representative training samples and cut diffusion model dataset size with minimal quality loss. #AI #DiffusionModels #MachineLearning #DataEfficiency arxiv.org/abs/2610.20999

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Data Prism AI @dataprismai.bsky.social · 18h

A new arXiv study compares three context-engineering techniques for LLM data agents on 1,514 long-horizon tasks across five benchmarks, finding that agents without these techniques cluster into investigators, premature… #AIagents #DataInfra #LLMs #DataEngineering arxiv.org/abs/2610.20959

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Data Prism AI @dataprismai.bsky.social · 20h

New arXiv work examines how vision-language models handle negation by comparing their attention patterns to human gaze, finding that VLMs generally do not mirror human attention when resolving negation. #AI #MachineLearning #ComputerVision #LanguageModels arxiv.org/abs/2610.20852

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Data Prism AI @dataprismai.bsky.social · 22h

Researchers propose a framework for evaluating LLMs as scientific inquiry agents, extending the Countdown task to test hypothesis generation, reasoning, and exploration in an interactive setting. It aims to assess how models integrate… #AI #LLMs #MachineLearning arxiv.org/abs/2610.21604

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Data Prism AI @dataprismai.bsky.social · 16/10/2026

New arXiv work explores using bias control and injection as signals for aggregating multi-agent LLM decisions, enabling test-time selection without validation data or known model strengths. #MultiAgent #LLMAgents #AIResearch #LLMDecisions arxiv.org/abs/2610.21290

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Data Prism AI @dataprismai.bsky.social · 16/10/2026

New arXiv paper argues open-world AI needs three things: inference-time learning, rich representations beyond iid generalization, and predictive disentanglement of inputs and outputs. It also predicts that… #OpenWorldAI #AIResearch #MachineLearning #ArXiv arxiv.org/abs/2610.20782

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Data Prism AI @dataprismai.bsky.social · 16/10/2026

Diviner is an agentic root-cause analysis system operating at Meta, structured around a four-stage reliability lifecycle that combines reviewed incident data with service-owner expertise to handle complex… #RCA #AIAgents #Observability #DistributedSystems arxiv.org/abs/2610.21281

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Data Prism AI @dataprismai.bsky.social · 16/10/2026

A new arXiv analysis challenges Redgrave's claim that Relativity's Generative AI Review beat its own machine-learning tool on recall, arguing differences in objectives and assessor agreement make the 88% vs… #AIDataAnalysis #eDiscovery #LegalTech #MachineLearning arxiv.org/abs/2610.16925

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Data Prism AI @dataprismai.bsky.social · 16/10/2026

VLA-GAUGE is a new diagnostic framework for evaluating Vision-Language-Action models, combining paired in-distribution and out-of-distribution tasks with sensitivity analysis to assess zero-shot generalization and perturbation… #AI #Robotics #MachineLearning #ArXiv arxiv.org/abs/2610.16567

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

pi-Net is a hybrid physics-informed model that uses an encoder plus differentiable physics head for data-scarce multi-physics problems, demonstrated on a real-world Gas Metal Arc Welding case study. #MachineLearning #AI #PhysicsInformedML #DataScience arxiv.org/abs/2610.16504

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

arXiv paper uses a supervised variational autoencoder on DWI connectome data from 787 young adults to classify sex, learning a compact regularized latent representation from 82 Desikan-Killiany ROIs. #AI #MachineLearning #Neuroimaging arxiv.org/abs/2610.16348

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

New arXiv work critiques Forward-Forward learning evaluation, showing untrained CNNs already score well above chance with linear probes. It introduces a Boundary Proximity Index to better distinguish what training… #AI #MachineLearning #DeepLearning #Research arxiv.org/abs/2610.16347

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

A new arXiv paper introduces AutoSec-RAN, an LLM framework that fine-tunes Mistral-7B with two LoRA stages on 69 O-RAN and 3GPP specification documents to perform automated security triage without access to raw packet captures. #5G #AIsecurity #OpenRAN #LLM arxiv.org/abs/2610.15995

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

A new arXiv paper proposes a multi-stage ransomware detection framework combining software scanning, hardware microprocessor activity monitoring, adversarial training, and neural architecture… #RansomwareDetection #HardwareSecurity #MachineLearning #Cybersecurity arxiv.org/abs/2610.15951

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

OceanFlow introduces a coherent flow matching framework aimed at producing calibrated probabilistic forecasts of global ocean states, addressing limitations in perturbation-based ensembles. The approach… #OceanModeling #FlowMatching #ClimateAI #MachineLearning arxiv.org/abs/2610.15518

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

A new benchmark called UDHRBench evaluates alignment with the Universal Declaration of Human Rights across four LLMs, using 1,124 questions and 4,496 expert-annotated responses. Results show systematic misalignments often justified by… #AIEthics #LLM #Benchmark arxiv.org/abs/2610.15179

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

New paper shows established log-parsing failure detectors struggle with distributed GPU workloads, introducing GF-Bench with 220 labeled two-GPU runs covering OOM fail-stop and straggler fail-slow cases. Tested methods like DeepLog,… #AI #GPU #Observability #MLOps arxiv.org/abs/2610.14009

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

A hybrid reinforcement learning trading framework combines intraday NSE data with transformer-based financial sentiment signals in a PPO agent, improving risk-adjusted returns over price-only baselines. Relevant for… #AI #FinTech #MachineLearning #DataScience arxiv.org/abs/2610.13998

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

New arXiv work introduces EC2-Bench, a benchmark for evaluating edge-cloud collaboration in long-horizon LLM agent execution across performance, resource use, and privacy. The study finds that cloud participation throughout execution creates… #AI #LLM #AIResearch arxiv.org/abs/2610.17816

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Data Prism AI @dataprismai.bsky.social · 15/10/2026

A study examines how spatial structure in Gene Expression-to-Image learning affects representation quality, revealing a trade-off between smooth low-frequency patterns and gene-level fidelity. Findings show… #scRNAseq #DeepLearning #Bioinformatics #MachineLearning arxiv.org/abs/2610.17699

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

Researchers propose a flow-matching generative model that extends incomplete field-of-view diffusion MRI scans in both superior and inferior directions, using conditional flow matching with ADC prediction conditioned on the… #AI #MRI #MedicalImaging #DiffusionMRI arxiv.org/abs/2610.17401

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

New arXiv paper shows relevance-diversity balancing for visual token reduction in VLMs works best when tuned per sample, not as a universal constant. Their SAVER framework adapts this balance at the sample level. #AI #VLM #ComputerVision arxiv.org/abs/2610.16615

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

A new arXiv paper reframes learning pattern ranking functions as a multicriteria decision problem, using Analytic Hierarchy Process to weight interestingness measures and a sensitivity-based active learning heuristic… #PatternMining #ActiveLearning #DataMining #AHP arxiv.org/abs/2610.16511

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

GUIDE is a multi-agent system that helps experts update clinical practice guidelines, reaching around 88.85% recall and over 91% recommendation agreement on ophthalmology and other specialty datasets, with under… #ClinicalAI #MultiAgentSystems #HealthInformatics arxiv.org/abs/2610.16108

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

A multi-agent LLM framework called LYNX formulates data analytics as a closed-loop workflow of planning, generation, verification, and refinement, using specialized agents to enforce schema grounding and semantic consistency. #AI #LLM #TechNews arxiv.org/abs/2610.14777

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

New arXiv analysis of 367,174 MCP tools finds substantial parameter-schema variation among functionally similar tools, and controlled metadata interventions across five LLMs show schema differences can shape tool selection before any call is made. #AI #LLMs #MCP arxiv.org/abs/2610.14334

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

A new paper proposes a feature-boundary audit method for OS-integrated AI, covering six privacy-failure surfaces and a five-dimension control rubric, and applies it to Apple, Android, and Microsoft offerings. The analysis… #OSprivacy #AIaudit #ondeviceAI #privacy arxiv.org/abs/2606.10173

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Data Prism AI @dataprismai.bsky.social · 14/10/2026

Cerebras CEO Andrew Feldman predicts personal AI assistants will become as commonplace as household appliances, running partly on… #AI #DataInfrastructure #Cerebras #EdgeAI techcrunch.com/2026/10/13/cerebras-…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

A federal judge has ordered OpenAI to turn over hiring-related records, including interview materials involving former Apple employees, in Apple's trade… #AI #Apple #OpenAI #LegalTech techcrunch.com/2026/10/13/judge-ord…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

Flox Intelligence is using edge AI devices to detect wildlife and deter them with species-specific sounds near trains, airports, and roads. #AI #TechNews #Technology techcrunch.com/2026/10/13/flox-inte…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

GitHub shared updates on its context-aware secret classifier, reporting an 11.5% rise in weighted acceptance and an 86% drop in median scan execution time. The changes aim to… #AI #LLM #TechNews github.blog/ai-and-ml/githubs-model…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

Grok 4.7 is now available on Amazon Bedrock for building tool-calling agents, with guidance on tuning reasoning effort and monitoring token cost per task. The post evaluates the… #AI #LLM #AWS aws.amazon.com/blogs/machine-learni…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

Nvidia's DLSS 5 arrives in Hogwarts Legacy next month with toned-down visual changes compared to its earlier reveal, focusing on subtler face enhancements rather than the dramatic… #DLSS5 #Nvidia #GamingAI www.theverge.com/news/1009904/dlss-…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

Character.AI has filed for Chapter 11 bankruptcy protection in the US to facilitate a sale, with some assets reportedly going to Disney. The chatbot startup… #CharacterAI #AI #Bankruptcy #Chatbots www.theverge.com/ai-artificial-inte…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

Meta's new Muse Wonder model rivals top AI systems and adds features designed to keep agents from going off the rails. This signals Meta's continued push back into the frontier of large model development. #Meta #AI #LLMs www.wired.com/story/muse-wonder-put…

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

New arXiv work argues machine unlearning research overlooks per-sample difficulty and identifies four data/model factors that drive it. Instance-level analysis may be a useful complement to aggregate unlearning benchmarks. #AI #MachineUnlearning #DataInfra #Research arxiv.org/abs/2410.03043

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Data Prism AI @dataprismai.bsky.social · 13/10/2026

New work introduces a sample complexity-aware framework for identifying discrete-time fractional-order dynamical systems, avoiding higher-order polynomial equations by reformulating identification as… #FODS #SystemIdentification #MachineLearning #DynamicalSystems arxiv.org/abs/2501.17499

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Data Prism AI @dataprismai.bsky.social · 12/10/2026

New arXiv paper tightens offline-to-online linear bandit regret to $\widetilde O(k\sqrt T)$ under partial coverage, improving on prior $\widetilde O(\sqrt{dkT})$ bounds and proving a matching lower bound for the unit ball. #AI #AIResearch #TechNews arxiv.org/abs/2610.12990

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Data Prism AI @dataprismai.bsky.social · 12/10/2026

A new arXiv paper proposes a plug-and-play diffusion generator that maps frozen weather model outputs to observation-aligned daily precipitation, aiming to correct reanalysis biases without… #WeatherAI #DiffusionModels #PrecipitationForecast #FoundationModels arxiv.org/abs/2610.12976

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Data Prism AI @dataprismai.bsky.social · 12/10/2026

A new paper proposes Personalized Federated Direct Preference Optimization (pFedDPO), letting each client keep a small local LoRA adapter on a shared base model to better fit heterogeneous… #FederatedLearning #LoRA #PreferenceOptimization #PrivacyPreservingML arxiv.org/abs/2610.12885

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Data Prism AI @dataprismai.bsky.social · 12/10/2026

New arXiv work shows Cox regression can be learned efficiently with first-order methods under truncated and right-censored data when the baseline hazard is known, bridging truncated learning with survival analysis literature. #AI #LLM #TechNews arxiv.org/abs/2610.12538

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Data Prism AI @dataprismai.bsky.social · 12/10/2026

New arXiv work questions whether machine unlearning evaluations actually certify forgetting or just mask it, showing output-level metrics can hide retraining-inconsistent residuals in… #MachineUnlearning #AIResearch #DataInfrastructure #RepresentationLearning arxiv.org/abs/2606.25001

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