HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

29 Sept 2026Reported by arXiv24

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment. It centres on Inference, and also names Reasoning Models. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Models — the section covering deployment inside businesses — platforms, adoption, cost, integration.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

Read original coverage

Companies, models and people in this story

Reported by arXiv

First seen 29 sept 2026

arXivHARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment29 Sept 2026Kenan Alkiek

AI Models24

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models. It centres on AI Safety, and also names Fine-tuning and Inference. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv13 Oct 2026

AI Models24

Latent Reasoning in Continuous Space for Unified Multimodal Models

Latent Reasoning in Continuous Space for Unified Multimodal Models. It centres on Multimodal, and also names Reasoning Models and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.

← All AI stories

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

Companies, models and people in this story

Reported by arXiv

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

Latent Reasoning in Continuous Space for Unified Multimodal Models

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents

Companies, models and people in this story

Reported by arXiv

Related AI coverage

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

Latent Reasoning in Continuous Space for Unified Multimodal Models

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents