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110010.art(ificial intelligence)
AI products, research, and launches — clustered and ranked, not just re-blogged.
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Research

Sep 7
8d ago A removal based approach to improve LLM faithfulness at test time arXiv cs.AI → story
8d ago A repeated-measurement study assesses five large language models as zero-shot annotators of four social constructs in English song lyrics. arXiv cs.LG → story
8d ago ASR hallucinations arise from grounding failure in Conformer-Large recognizers under degradation and speaker-background shift arXiv cs.CL → story
8d ago Auditing identity handoffs in grounded language-model pipelines: does the selected object reach the reader? arXiv cs.AI → story
8d ago BER-PEF: Unified human mobility predictability evaluation via Bayes error rate estimation arXiv cs.LG → story
8d ago Better model capability can worsen system risk in financial markets, study finds with LLM agents showing correlated actions arXiv cs.AI → story
8d ago BioSync: Transformer-based cross-modal fusion for a multimodal physiological digital biomarker arXiv cs.AI → story
8d ago Calibrated reflection approach improves confidence estimation in LLMs. arXiv cs.CL → story
8d ago CLM: Transforming tacit and fragmented enterprise knowledge into a sovereign, auditable, executable corporate intelligence layer arXiv cs.AI → story
8d ago Conformity breaks conformal prediction in multi-agent LLMs, due to score-mechanism shift that changes the model’s score when peers unanimously assert a wrong answer. arXiv cs.LG → story
8d ago Cultural misalignment in large language models: evaluation across 63 personas using Wasserstein distance; Qwen3-4B worst on its own population across three countries arXiv cs.CL → story
8d ago Data fusion framework grounds aerospace surrogate model with experimental wind-tunnel observations arXiv cs.LG → story
8d ago Data-driven discovery of composition-dependent constitutive models for hyperelasticity and viscoelasticity of digital materials arXiv cs.AI → story
8d ago Data-driven learning of unknown nonlinear differential equations from a single state trajectory using functional analysis arXiv cs.LG → story
8d ago Data-Optimized Contingency Screening: a machine learning approach to power system security arXiv cs.AI → story
8d ago Demand-conditioned model selection across demand patterns and horizons; study gauges whether the selector should be context-dependent across 24 models and nine datasets arXiv cs.LG → story
8d ago Disentangling attention in deep operator learning: a controlled study comparing data-driven and physics-informed architectures arXiv cs.LG → story
8d ago Distilled continuous diffusion language models can write code in few steps—or one. arXiv cs.LG → story
8d ago Energy-based conservative-dissipative latent neural evolution operator for micromagnetic magnetization dynamics developed with a convolutional autoencoder and a structured latent ODE arXiv cs.LG → story
8d ago Evaluating large language models for forced outage risk prediction; benefits and comparison to machine learning arXiv cs.LG → story
8d ago Evaluation of phonetic encoding algorithms on transcription datasets arXiv cs.CL → story
8d ago Evidence Integration in Large Language Models arXiv cs.CL → story
8d ago EXAONE Forecast for Finance: a financial time series foundation model tailored to financial forecasting arXiv cs.AI → story
8d ago Extremely sparse supervision incentivizes reasoning ability arXiv cs.AI → story
8d ago Fast surrogate modeling of FitzHugh-Nagumo dynamics with parametric neural operators arXiv cs.LG → story
8d ago From answers to interpretations: rethinking ambiguity-induced aleatoric uncertainty estimation in LLMs arXiv cs.AI → story
8d ago From Matching Models to Recruiting Agents: a systematized narrative review of AI recruitment systems, evaluation, and governance arXiv cs.AI → story
8d ago GRACE framework grounds LLM responses by decomposing into atomic claims and tracking cross-document evidence relationships arXiv cs.CL → story
8d ago Hakken: predicting future discoveries to fill gaps in today’s knowledge arXiv cs.LG → story
8d ago Harbor Adapters and Harbor-Index provide a unified evaluation infrastructure and curated meta-dataset for large-scale agentic evaluation arXiv cs.AI → story
8d ago HarvestBench measures whether LLM agents will pay to avoid killing animals in a farm-harvest RL gridworld arXiv cs.AI → story
8d ago How much does corpus choice change dependency-distance estimates? arXiv cs.CL → story
8d ago Indirect prompt injection framed as a test-time search problem arXiv cs.AI → story
8d ago IPGeoAI: Transformer-based geolocation with LLM semantic fusion arXiv cs.AI → story
8d ago Iris: climbing to the search frontier arXiv cs.AI → story
8d ago La Agente Optima: Towards agentic self-driving laboratories arXiv cs.AI → story
Sep 5
10d ago MasterControl Seventeen Every Time; arXiv study presents a governed enterprise analytics approach with a language model interpreting questions and a deterministic policy selecting analytical programs to return results and evidence arXiv cs.AI → story
10d ago PPO-STGNN: a proximal policy optimization approach with spatio-temporal graph neural networks for DAG task scheduling in cloud-edge-end computing. arXiv cs.AI → story
10d ago Prompt-engineering framework enables scalable, real-time micro-level personalization in a general-purpose AI teaching assistant (LLM/RAG-based Jill Watson) arXiv cs.AI → story
10d ago Speculative Macro Commit adds a two-tier agent system with a faster speculative drafter predicting tool use to speed up decisions. arXiv cs.AI → story

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