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27 results for “Grounded”
Recipes for Steering and Scaling LLMs via Sampling
A new arXiv preprint introduces a theoretically grounded sampling framework for steering and scaling LLMs—using Sequential Monte Carlo and Replica Exchange—to improve generation quality without external supervision or reward models.
Aug 28, 2026
Cloudflare OS: Cloudflare's Open-Source Corporate AI Platform Built on a Capability-Based Model
Cloudflare has open-sourced 'Cloudflare OS', a corporate AI platform designed for enterprises to build secure, knowledge-grounded, token-efficient AI-augmented workflows and customizable work software.
Aug 24, 2026
Time-Series Retrieval for Grounding Multimodal Language Models in Remaining Useful Life
A research paper proposes using time-series retrieval to ground multimodal LLMs for remaining useful life (RUL) estimation in aircraft engine prognostics, showing improved prediction accuracy and stability over non-retrieval baselines on the FD001 C-MAPSS benchmark.
Aug 21, 2026
When Irrelevant Text Matters: Affine Margin Shifts in Multimodal Large Language Models
A new arXiv preprint identifies a consistent, mathematically characterizable bias in multimodal large language models (MLLMs) caused by task-irrelevant text — revealing that such context induces predictable affine distortions in decision margins rather than random noise.
Aug 21, 2026
Detroit startup Grounded raises $5M to customize electric and gas-powered vans
Detroit-based startup Grounded raised $5M to pivot from consumer van-life conversions to B2B vehicle customization for small businesses amid shifting US EV market conditions.
Aug 18, 2026
Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
DoorDash is replacing its legacy recommendation system with an agentic, context-aware AI architecture to improve relevance and conversion, using techniques like language-native consumer memory and RQ-VAE semantic IDs.
Aug 15, 2026
SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents
SBCO is a new self-supervised, verifier-grounded optimization method for planning agents that improves performance without self-reference or human labels, using significantly less compute than self-modifying baselines.
Aug 12, 2026
Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation
Researchers introduced PoVisLE, a Polish-specific vision-language benchmark with 1,117 images and 2,366 VQA pairs, designed to evaluate culturally grounded multimodal understanding beyond surface-level recognition.
Aug 11, 2026
Can someone explain to me the psychological mechanic between half the people feeling ai is supper dumb and the other half thinking its modern miracle?
A Reddit user expresses bafflement at the polarized public perception of AI — some viewing it as a 'modern miracle' while others deem it 'pretty stupid' — and seeks psychological explanation for this cognitive divide.
Aug 10, 2026
A Crossover That Was Never Meant to Exist
A Reddit user shared a detailed prompt for generating a photorealistic AI image that fuses two film universes into a single, coherent, lived-in reality — not as fan art or battle scene, but as an everyday incident revealing functional coexistence.
Aug 7, 2026
Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents
Instacart launched Blueberry, an internal AI assistant designed to accelerate incident investigation for on-call engineers by generating root cause hypotheses in Slack using AI agents, operational data, and historical incident knowledge.
Aug 7, 2026
Introducing OfficeQA Pro V2: A New Benchmark for Enterprise Grounded-Reasoning
Databricks has released OfficeQA Pro V2, a proprietary benchmark for evaluating enterprise AI systems' grounded reasoning capabilities using synthetic office-document workflows.
Aug 7, 2026
Reconstructing Persistent Worlds from Narratives for Narrative-Grounded Interactive Experiences
Researchers propose a new computational approach to reconstruct persistent, structured world models from narrative text to support coherent interactive experiences like games and simulations.
Aug 6, 2026
SafeCommit: Certifying When Memory-Grounded Agents May Safely Act
SafeCommit is a new formal framework and risk-controlled layer designed to prevent AI agents from taking unsafe actions due to uncertain or flawed memory grounding by certifying commitment only when safety is guaranteed across a calibrated set of plausible latent worlds.
Aug 6, 2026
Review: Spider-Man: Brand New Day reminds us that superhero movies can be good
A film review of 'Spider-Man: Brand New Day' praises its character-driven storytelling and emotional resonance as a rare, high-quality entry in the superhero genre.
Aug 6, 2026
Learning a Vector-Symbolic Model for Socio-Cultural Tasks
Researchers propose a vector-symbolic autoencoder integrated into the ACT-R cognitive architecture to model how sociocultural structures influence decision-making via multi-level semantic representations and differentiated memory encoding.
Aug 5, 2026
ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding
ViSAGE is a new multimodal agentic memory framework designed to reduce entity confusion and hallucination in long-form video understanding by introducing cross-modal identity anchoring, bidirectional memory refinement, and multi-agent cross-verification.
Aug 3, 2026
GPU Management: Why Idle GPUs Are the New Grounded Aircraft
Hugging Face announced a new GPU resource management tool called 'GPU Scheduler' to reduce idle compute time in AI development workflows, framing underutilized GPUs as an operational inefficiency analogous to grounded aircraft.
Jul 30, 2026
Large-Scale ChatBot Validation Through Customer Digital Twin Simulations
Researchers introduced a synthetic customer agent (SCA) methodology and validation framework for LLM-based chatbots in banking, using real transactional and conversational data to simulate diverse customer behaviors and support regulatory compliance.
Jul 30, 2026
ADAGE: A Language-Agnostic Pipeline for Analogical Reasoning Evaluation
Researchers introduced ADAGE, a language-agnostic pipeline for building culturally grounded, translation-free analogical reasoning benchmarks in Arabic, Amharic, and Japanese, revealing significant performance drops (12–52 pp) for open-weight LLMs on non-English tasks compared to English proverb reasoning.
Jul 28, 2026
On Improving Faithfulness of Podcasts from Documents
Researchers introduced a new evaluation framework and mitigation method called 'catch-n-repair' to improve the factual faithfulness of LLM-generated podcasts grounded in source documents, revealing widespread ungrounded content even in top models like GPT-4o.
Jul 27, 2026
EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections
EpiNarrate is a new agentic AI framework designed to generate factually grounded, policy-relevant public health narratives from complex epidemiological projection data, addressing LLM limitations in consistency and quantitative fidelity.
Jul 20, 2026
Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective
Researchers introduce Ladderpath, a compression-based method rooted in Algorithmic Information Theory to measure text distance via nested hierarchical repetitions, showing improved performance over gzip-NCD and BERT in out-of-distribution and few-shot text classification.
Jul 9, 2026
MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
Researchers introduced MultAttnAttrib, a training-free method for attributing AI-generated answers to multimodal evidence in long documents, alongside MultAttrEval — the first benchmark dataset for fine-grained multimodal attribution — to address trust and safety gaps in grounded QA systems.
Published Jul 3, 2026 · Analyzed Jul 6, 2026