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Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories57m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response7h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making7h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents7h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD7h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value7h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models7h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations7h◆When Synthetic Speech Is All You Have: Better Call GRPO7h◆Reducing belief in conspiracy theories as they unfold using large language models7h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors7h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization7h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning7h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding7h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment7h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions7h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents7h◆Secure Agentic Coding through Counterexample-Grounded Feedback7h◆Policy Search in Code Space for Multi-Agent Pathfinding7h◆TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling7h◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories57m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response7h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making7h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents7h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD7h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value7h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models7h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations7h◆When Synthetic Speech Is All You Have: Better Call GRPO7h◆Reducing belief in conspiracy theories as they unfold using large language models7h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors7h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization7h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning7h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding7h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment7h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions7h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents7h◆Secure Agentic Coding through Counterexample-Grounded Feedback7h◆Policy Search in Code Space for Multi-Agent Pathfinding7h◆TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling7h◆

News/model/Mistral-Small-3.1-24B-Instruct-2503

Mistral-Small-3.1-24B-Instruct-2503 news

14 articles mentioning Mistral-Small-3.1-24B-Instruct-2503

techcrunchOct 6

Mistral’s new 1T model aims to leapfrog closed and open rivals

French AI lab Mistral AI has released Mistral Large 4, a new large multimodal model aiming to leapfrog both American and Chinese rivals.

techcrunchSep 8

Mistral raises €3B as sovereign AI becomes big business

The French AI lab has raised €3 billion at a €21 billion valuation in a Series D round led by Samsung, Scaleup Europe, and PSG Equity.

techcrunch

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Home Models News

Jun 12

Mistral is rumored to be raising €3B at €20B valuation

The funding round would value the company at around €20 billion (about $23.15 billion), nearly double its Series C valuation of €11.7 billion.

arxivMay 7

Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification

arXiv:2511.05080v4 Announce Type: replace Abstract: The growing public demand for accessible biomedical information calls for scalable text simplification. While large language models (LLMs) offer solutions, they too struggle with balancing improved readability against preservation of meaning. This

arxivApr 17

Benchmarking Linguistic Adaptation in Comparable-Sized LLMs: A Study of Llama-3.1-8B, Mistral-7B-v0.1, and Qwen3-8B on Romanized Nepali

arXiv:2604.14171v1 Announce Type: new Abstract: Romanized Nepali, the Nepali language written in the Latin alphabet, is the dominant medium for informal digital communication in Nepal, yet it remains critically underresourced in the landscape of Large Language Models (LLMs). This study presents a sy

techcrunchMar 30

Mistral AI raises $830M in debt to set up a data center near Paris

Mistral aims to start operating the data center by the second quarter of 2026.

techcrunchMar 26

Mistral releases a new open source model for speech generation

The model, which lets enterprises build voice agents for sales and customer engagement, puts Mistral in direct competition with the likes of ElevenLabs, Deepgram, and OpenAI.

huggingfaceJul 22

WWDC 24: Running Mistral 7B with Core ML

huggingfaceNov 7

Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora

arxivJul 21bullish

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

arXiv:2607.16204v1 Announce Type: new Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties become ineffective signals as model performance improves, and sparse rewa

#reinforcement-learning #world-models #autoregressive-models

arxivJun 24bullish

Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs

arXiv:2603.15510v2 Announce Type: replace Abstract: The synthesis of inductive loop invariants remains a critical bottleneck in automated program verification. While Large Language Models (LLMs) show promise in mitigating this issue, they often fail on complex programs, producing invariants that are

#program-verification #large-language-models #fine-tuning

arxivJun 12bearish

Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science

arXiv:2606.12426v1 Announce Type: cross Abstract: LLM annotators are increasingly used in computational social science (CSS), but it is unclear whether their alignment-shaped errors preserve the empirical conclusions a researcher would report. We audit three open-source 7B instruction-tuned models (

#bias #computational social science #language models

arxivMay 22

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval

arXiv:2605.20815v1 Announce Type: cross Abstract: Graph-based Retrieval Augmented Generation (GraphRAG) extends retrieval-augmented generation to support structured reasoning over complex corpora, but its reliability under resource-constrained, privacy-sensitive deployments remains unclear. In healt

#healthcare #retrieval #generation

arxivMay 15bullish

A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes

arXiv:2506.11067v3 Announce Type: replace Abstract: Objective: Develop a cost-effective, large language model (LLM)-based pipeline for automatically extracting Review of Systems (ROS) entities from clinical notes. Materials and Methods: The pipeline extracts ROS section from the clinical note using

#healthcare #language-models #open-source