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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

Jul 24
Jul 24, 2026 Automating nuclear plant operations through collaboration and stakeholder relationships, says Lauren Fortier MIT News (AI) → story
Jul 24, 2026 Benchmarking the personalization capabilities of large language models arXiv cs.AI → story
Jul 24, 2026 Beyond SBDD: geometric deep learning in polypharmacology and multi-target drug design arXiv cs.LG → story
Jul 24, 2026 ClickGuard: Detecting and spoiling clickbait news with informativeness measures and large language models arXiv cs.AI → story
Jul 24, 2026 CLOE: Christoffel Loss Autoencoder for anomaly detection arXiv cs.LG → story
Jul 24, 2026 Codec-Gauge learns equalization transforms for transformer KV-cache compression to improve fidelity arXiv cs.LG → story
Jul 24, 2026 Conflict resolution under degraded surveillance in air corridors using multi-agent reinforcement learning arXiv cs.LG → story
Jul 24, 2026 DataPrep-Bench benchmarks LLMs as training data preparators; evaluates data construction and data quality evaluation end to end arXiv cs.LG → story
Jul 24, 2026 DC-Leap: training-free acceleration of dLLMs via draft-guided contiguous leaping decoding arXiv cs.AI → story
Jul 24, 2026 Decision-aware machine learning framework proposed to improve allocation of essential medicines; arXiv paper introduces multi-task approach arXiv cs.LG → story
Jul 24, 2026 DecodeShare identifies a shared low-dimensional subspace in decode-time hidden states and tests its causal role by removing it during decoding arXiv cs.AI → story
Jul 24, 2026 Directional hallucinations: ideological drift in news-grounded LLM question answering arXiv cs.AI → story
Jul 24, 2026 Enabling scalable topology inference in distribution systems via constrained multi-source inference arXiv cs.AI → story
Jul 24, 2026 Expectation alignment of language models for real-world user expectations arXiv cs.AI → story
Jul 24, 2026 Generative Bayesian filtering for state estimation arXiv cs.LG → story
Jul 24, 2026 Graph neural network approach to zero-shot digital twins arXiv cs.LG → story
Jul 24, 2026 Grounding investor views: neural predicates in the Black-Litterman model arXiv cs.LG → story
Jul 24, 2026 HypNO: a graph-based neural operator for scalar hyperbolic conservation laws uses physics-informed message passing on a space-time graph of finite-volume cells arXiv cs.LG → story
Jul 24, 2026 Incomplete prompt jailbreaks in large language models reveal vulnerabilities to harmful continuations in open-weight models arXiv cs.AI → story
Jul 24, 2026 InferenceBench: a benchmark for open-ended LLM inference optimization by AI agents arXiv cs.AI → story
Jul 24, 2026 JAXBench: Benchmarking autonomous TPU kernel optimization arXiv cs.AI → story
Jul 24, 2026 Leveraging biokinetic knowledge priors for data-scarce bioprocess modeling arXiv cs.LG → story
Jul 24, 2026 Lie typology, depth, and sparsity affect deception detection in LLM outputs arXiv cs.AI → story
Jul 24, 2026 Marking the wrong symptoms: evaluating LLM watermarks in medical texts arXiv cs.AI → story
Jul 24, 2026 Multimodal CoLRAG-TF uses four-axis fusion—dense text embeddings, BM25, knowledge-graph triple filtering, and image similarity—to enable robust retrieval over complex PDFs. arXiv cs.LG → story
Jul 24, 2026 Muon optimizer reaches grokking threshold on modular arithmetic faster than AdamW; ablation shows speedup from Newton-Schulz orthogonalization arXiv cs.LG → story
Jul 24, 2026 Optimal noise allocation for diffusion training in the convex regime arXiv cs.LG → story
Jul 24, 2026 OPTScientist: multi-agent discovery of typed optimizer programs for transformer pretraining arXiv cs.AI → story
Jul 24, 2026 PersonaTrail benchmarks personalized web agents through browsing histories to evaluate how agents infer context from user browsing data arXiv cs.AI → story
Jul 24, 2026 PhantomFill: when the form demands an answer, language models invent one arXiv cs.LG → story
Jul 24, 2026 PlanE: Meta planning of data, tuning, and inference for extractive-based LLMs arXiv cs.AI → story
Jul 24, 2026 Proactive test-driven AI development is proposed to replace reactive patching of models based on user feedback. arXiv cs.LG → story
Jul 24, 2026 ReliableTableQA evaluates the amount of supervision needed for reliability annotation of tabular QA results arXiv cs.LG → story
Jul 24, 2026 Routing Without Training: Controllable-Ratio LLM Offloading via Reliability Gating arXiv cs.AI → story
Jul 24, 2026 Scaling closed-loop feature channel configuration with LLMs arXiv cs.LG → story
Jul 24, 2026 Semi-supervised text-attributed graph distillation arXiv cs.AI → story
Jul 24, 2026 SenCos-GEM: SENet-Calibrated and Law-of-Cosines-Constrained geometry-enhanced molecular representation for property prediction arXiv cs.LG → story
Jul 24, 2026 SevDiff: Severity-conditioned diffusion for long-tail conflict trajectory generation arXiv cs.LG → story
Jul 24, 2026 SOAP, Muon, and beyond: pushing LLM pretraining scales arXiv cs.LG → story
Jul 24, 2026 SonicSampler: unified tile-aware kernels for LLM sampling and speculative verification arXiv cs.AI → story