Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
Researchers posted arXiv paper 2611.05731v1 introducing Pro-Memory, a memory framework for LLM agents that separates storing future-directed intentions from deciding when to act on them. Pro-Memory links pending objectiv…
A new arXiv paper (2611.05827v1) introduces TandemBench, a benchmark of 1,200 questions in multi-agent cooking scenarios that tests how well decision models choose optimal team plans. The best of 40 native decision model…
A study posted to arXiv (2611.05877v1) finds that better confidence estimates in LLM-built knowledge graphs can yield little audit improvement, because an error-rate × fan-out queue leaves 3.98–4.74 percentage points mor…
A challenge-aware adaptive recruitment method that uses an external CHALLENGER to inspect an evolving reasoning trace and trigger targeted knowledge retrieval or mid-discussion specialist recruitment improved accuracy on…
A benchmark study posted to arXiv (2611.05459v1) tested six AI tools across four literature-review stages against a published review of the Spanish plume weather pattern and its 102-article corpus, finding no single tool…
A new benchmark called SlackBench, introduced in arXiv paper 2611.05512v1, evaluates AI agents on realistic research and engineering workflows that require joint reasoning over workplace communication and evolving code r…
A new arXiv paper (2611.05524v1) introduces MA-SafeDiffuser, a multi-agent extension of SafeDiffuser that gives diffusion-based trajectory planners finite-time diffusion invariance guarantees for joint-agent safety speci…
A study of 49 writer-grader model pairs across seven models from Anthropic, OpenAI, Google, DeepSeek and Z.AI found average scores on end-to-end data science projects rose from 59 per cent to 76 per cent after three roun…
VirtualTrialHarness (VTHarness), an agent framework that coordinates virtual-trial operationalization by selecting reusable procedural skills for each workflow stage and enforcing explicit contracts across stages, produc…
Researchers posted arXiv:2611.05556v1, introducing AGORA (Aggregation Of Reliability-weighted Assessments), an item-response-theory aggregator for combining multiple LLM judges that learns each judge's reliability from a…
A new forecasting framework called Context as Covariates (CoCo) improves mean absolute error by up to 12% over state-of-the-art time series foundation models and LLM forecasters including GPT-4o, according to the arXiv p…
A new arXiv paper (2611.05557v1) proves that the dual objectives of support vector classification and support vector regression are exact, constrained Kullback-Leibler divergence minimisation tasks between two Gaussian m…
A new arXiv paper (2611.05594v1) shows that Layer-wise Relevance Propagation (LRP) is not a heuristic but the solution of a single variational problem: the divergence-free flow on the active computational graph of zero r…
A new arXiv paper (2611.05591v1) proposes CGRPO, a method that replaces the fixed rollout budget of Group Relative Policy Optimization with calibrated conformal thresholds over task-specific nonconformity scores. Across …
A single RIDGE agent trained with state-conditioned reward blending acquired both branches of Crafter's wood-tier crafting/combat split, a joint outcome no fixed-persona baseline achieved, according to an arXiv paper (26…
A new arXiv paper (2611.05655v1) introduces a framework for determining when two sparse autoencoder (SAE) latents represent the same feature, using an energy-weighted optimal-transport plan under a specified similarity g…
Researchers at Ghent University's CVAMO group released SO3brep, an SO(3)-equivariant graph neural network that operates on CAD boundary-representation face-adjacency graphs, detailed in arXiv paper 2611.05449v1. SO3brep …
Researchers introduced PEEK, a training-free deterministic sampler plugin that corrects exposure bias in diffusion image generators by performing a provisional one-step update, evaluating the denoiser at the look-ahead s…
A new arXiv paper (2611.05408v1) proposes Augmentation with Reinforcement Transformation (ART), a method that treats image transformations as arms in a multi-armed bandit problem to adaptively build reward-guided view ba…
A new arXiv paper (2611.05451v1) introduces FlowShift, a parameter-efficient post-training framework that converts pre-trained discrete Unified Multimodal Models into continuous rectified-flow generators by replacing dis…