1BOneBench

Search OneBench

Search signals, briefings, benchmarks and glossary terms.

Friday, 31 July 2026180 qualifying developments across 2 sourcesLast ingest 31 Jul, 20:36 UK
Clear all
Investigate12 results
Research radar

Latest research worth inspecting

Preprints and research are separated from the executive feed. Publication here is not validation; open the paper and inspect its evidence.

Showing 12 of 180 · latest first
DateSourceDevelopmentPostureHorizonTopics
31 Jul 2026arXiv cs.LG — Machine LearningTransporting Task Vectors across Different Architectures without TrainingInvestigateNext 12 monthsmodel adaptation, fine tuning, model optimization
31 Jul 2026arXiv cs.LG — Machine LearningSTEREODISCO: Discovering Stereotypicality in LLMsInvestigateNext 12 monthsmodel bias, responsible ai, model evaluation
31 Jul 2026arXiv cs.LG — Machine LearningDoubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular HistoriesInvestigateNext 12 monthscausal inference, longitudinal studies, irregular time series
31 Jul 2026arXiv cs.LG — Machine LearningUncertainty quantification for trustworthy deep learning: Methods and measuresInvestigateNext 12 monthsuncertainty quantification, model risk, explainability
31 Jul 2026arXiv cs.LG — Machine LearningEchoverse: Deep, Evolving Environments for Training Computer-Use Agents at ScaleInvestigateNext 12 monthsagentic ai, synthetic data, model training
31 Jul 2026arXiv cs.LG — Machine LearningBeyond the Bidirectional Promise: Re-evaluating the Robustness of Diffusion Language ModelsInvestigateNext 12 monthsmodel evaluation, llm security, model robustness
29 Jul 2026arXiv cs.CL — Computation and LanguageMinimizing Targeted Activations: Input-Only Suppression of Evaluation-Awareness Latents in Large Language ModelsInvestigateNext 12 monthsllm security, model evaluation, safety alignment
29 Jul 2026arXiv cs.CL — Computation and LanguageVisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented GenerationInvestigateNext 12 monthsmultimodal reasoning, rag, visual llm
29 Jul 2026arXiv cs.CL — Computation and LanguageBeyond Factual Accuracy: Evaluating Global Reasoning Integrity in RAG Systems with LogicScoreInvestigateNext 12 monthsrag, model evaluation, explainability
29 Jul 2026arXiv cs.CL — Computation and LanguageKletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportInvestigateNext 12 monthspretraining data, german language models, corpus development
29 Jul 2026arXiv cs.CL — Computation and LanguageRanked by Position: Order Sensitivity as an Exploitable Attack Surface in LLM Listwise RecommendersInvestigateNext 12 monthsllm security, model risk, recommendation systems
29 Jul 2026arXiv cs.CL — Computation and LanguageMeasuring and Improving Behavioral Consistency in Large Language Models through Fact-Heuristic-Emotion State EnforcementInvestigateNext 12 monthsmodel evaluation, model risk, explainability
What this board does—and does not—say

The default view excludes research papers, removes low-confidence items, sorts by publication date and caps each publisher at four displayed items. Research has its own view, capped at six papers per research feed. Every headline opens the underlying source.

One development is evidence, not momentum. The board does not label a topic “rising” from a single article, and the narrative implications are explicitly marked as interpretive assessments. Use repeated, independent sources over time before treating a topic as a trend.

Start with the decision-ready evidence

Receive eight source-linked developments at 06:30 UK, with factual summary kept separate from interpretive assessment.