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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 25
Jul 25, 2026 A three-stage neural-symbolic pipeline using an ensemble of DeBERTa-v3-base and XLM-RoBERTa-base with a Linguistically-Informed Mediator for gaming toxicity detection. arXiv cs.CL → story
Jul 25, 2026 Answer-then-Edit: Reasoning skeleton editing for anti-distillation with preserved utility arXiv cs.CL → story
Jul 25, 2026 AsymVerify achieves 2nd place on SemEval-2026 Task 6 with a confidence-gated verification approach for political evasion detection arXiv cs.CL → story
Jul 25, 2026 Belief propagation in LLM world models: measuring strategic information bias with prediction markets arXiv cs.CL → story
Jul 25, 2026 Break Through the Compression Bottleneck: From Theory to Practice arXiv cs.CL → story
Jul 25, 2026 Confidently deceptive: how confidence amplifies the risk of LLM deception arXiv cs.CL → story
Jul 25, 2026 Distinguishing artificial from authentic: evaluating LLMs for detecting LLM-generated content arXiv cs.CL → story
Jul 25, 2026 GLAN-QnA-KR: a 303,581-row Korean instruction-QA corpus produced by seedless taxonomy-driven GLAN synthesis using Microsoft Phi-3.5-MoE-instruct; open and redistributable under OpenRAIL arXiv cs.CL → story
Jul 25, 2026 Human-in-the-loop LLM framework improves detection of cutaneous immune-related adverse events in clinical notes; study reports higher accuracy and agreement vs manual review arXiv cs.CL → story
Jul 25, 2026 Knowledge injection exists in MoE; exploring expert-aware contrast decoding in MoE for mitigating LLMs' hallucinations arXiv cs.CL → story
Jul 25, 2026 LLM-INSTRUCT wins UZH Shared Task 2026 on paragraph-level argument mining with constraint-aware retrieval and selective debate arXiv cs.CL → story
Jul 25, 2026 MoE routing follows a Huffman code pattern, as the Frequency-Diversity Law shows that state-of-the-art models act as information-theoretic engines. arXiv cs.CL → story
Jul 25, 2026 Moir: Let the model direct its own story for robust cross-domain knowledge editing arXiv cs.CL → story
Jul 25, 2026 More Is Not More: what matters for diversity in LLM opinions? arXiv cs.CL → story
Jul 24
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
Jul 24, 2026 Stochastic sampling is epistemically shallow; the dimensionality gap between temperature variation and model diversity in LLMs arXiv cs.AI → story
Jul 24, 2026 The Devil is in the spectrum: mitigating representation collapse in LLMs via topologically regularized side-path arXiv cs.AI → story
Jul 24, 2026 Tractable hierarchical control of autoregressive language models arXiv cs.AI → story
Jul 24, 2026 Uncertainty-aware trust estimation for multi-LLM systems via structured expert judgement arXiv cs.LG → story
Jul 24, 2026 When RLVR shrinks the reasoning boundary: diagnosing pass@k inversion arXiv cs.LG → story