Open-Weight Language Models

Overview

Open-weight language models make trained model weights available so people can run them locally, adapt them to new tasks or languages, and examine how they behave. Researchers build them with dense or mixture-of-experts architectures, then improve them through instruction tuning, preference training, retrieval, and quantization for efficient deployment. Evaluations cover reasoning, coding, multilingual and domain tasks, as well as bias, safety, reliability, and energy use; capable open models can compete with proprietary systems in some settings, but performance varies across languages, tasks, and hardware. Wider access supports local control and reproducibility, while also making misuse easier and leaving open how to provide robust safeguards, trustworthy evaluations, and model-lineage accountability.

Latest papers

CardsList

54 papers6 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. Padding to k: A Minimum Count in the Schema Makes Open-Weight Models Pad Their Extraction Lists

    Oct 22, 2026Abhishek Barali, Aayush PaudelLLM Information ExtractionText Generation

  2. Wolof-Adapted Industry-Ready Open-Weight Language Models

    Oct 14, 2026Gwénolé Lecorvé, Delphine Charlet, Pierre Adam +15Language ModelingOpen-Weight Language Models

  3. Unconstrained CTI-REALM with Open-Weights

    Oct 9, 2026Sahil Garg, Ruhi Gottumukkala, Vishal Agarwal +1AI Agent EvaluationAI Agent Security Benchmarks

  4. Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model

    Oct 3, 2026Friedrich Puttkammer, Fabian Drexel, Marlene Fritzsche +19Medical Report GenerationRadiology Report Generation

  5. The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs

    Oct 2, 2026Toluwani Aremu, Manit Baser, Mohan Gurusamy +2Adversarial Attacks on LLMsOpen-Weight Language Models

  6. Cheap, open agents make LLM pollution harder to mitigate

    Sep 25, 2026Raluca Rilla, Anne-Marie Nussberger, Rui Mata +1AI-Generated Text DetectionLLM Agent Evaluation

  7. Witness Overlap: Directional Provenance Inside Open-Weight Model Families

    Sep 24, 2026Siyuan Li, Haoxuan Zeng, Xin Luo +6LLM AuditingOpen-Weight Language Models

  8. Evaluating Open-Weight LLMs for Turkish Domain Documents Under Retrieval and Hardware Constraints

    Sep 23, 2026Imtiaz Ul Hassan, Öykü Akbulut, Onur Kaya +4Multilingual Language Model EvaluationLLM Evaluation

  9. Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models

    Sep 21, 2026Star S. D. Liu, Xiyu Ding, Robert B. Barrett +3Cost-Sensitive LearningLLM Interpretability

  10. WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution

    Sep 17, 2026Yi Zhou, Kiamehr Rezaee, Danushka Bollegala +2Open-Weight Language ModelsWord Sense Disambiguation

  11. Linguistic Triggers of Gender and Racial Bias in Open-Weight LLMs Applied to Recruitment

    Sep 16, 2026Kosuke Kitahara, Nobuhiro YamaguchiGender Bias in Language ModelsAI-Assisted Decision Making

  12. AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research

    Sep 15, 2026Bernie Boscoe, Srinath Saikrishnan, Vikram Seenivasan +6AI-Assisted Scientific ResearchOpen-Weight Language Models

  13. List Counting Failures Are Not One Phenomenon

    Sep 3, 2026Iyad Ait Hou, Saad Mankarious, Aya Zirikly +1Numerical Reasoning in Language ModelsOpen-Weight Language Models

  14. Manacá-1B: An Open, Reproducible Brazilian-Portuguese Language Model and a Tokenizer-Aware, Paired Evaluation

    Aug 31, 2026Bruno Leonardo Santos Menezes, Carlos Leonardo Souza Cardoso, Fabio Andre Machado PortoLanguage Model PretrainingPortuguese Language Models

  15. LLMs as Acquisition Policies for Finite-Pool Materials Optimization: A Controlled Study

    Aug 20, 2026Dino-Rober Demir, Florian Le Bronnec, Rio YokotaLarge Language Model-Guided OptimizationActive Learning

  16. Can Open-Weight Models Compete on Financial Text Comprehension?

    Aug 9, 2026Jan SpörerLLM EvaluationFinancial QA

  17. Language Equality has a Price: A Systematic Investigation of Multi-turn LLM Performance for EU-24+

    Aug 2, 2026Sherzod Hakimov, Karl Osswald, Jelle Psurek +3Multilingual Language Model EvaluationLLM Evaluation

  18. Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models

    Jul 29, 2026Parishruthi Ganesh, Gerry Dozier, Cheryl SealsLLM EvaluationZero-Shot Text Classification

  19. Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks

    Jul 23, 2026Mack Nixon, Liam Wright, Yevgeniya Kovalchuk +4AI Agent BenchmarksOpen-Weight Language Models

  20. Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations

    Jul 13, 2026Samer Saab, Chaouki AbdallahOpen-Weight Language ModelsMulti-Agent Systems

  21. Gemma 4 Technical Report

    Jul 2, 2026Gemma Team, Sherif El Abd, Vaibhav Aggarwal +298Efficient Multimodal InferenceUnified Multimodal Models

  22. Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs

    Jun 19, 2026Charbel El Feghali, Arkil Patel, Nicholas Meade +3Open-Weight Language ModelsLLM Security

  23. An Empirical Study of OpenPangu Quantization on Ascend NPUs

    Jun 19, 2026Tong Shi, Jiacheng Wang, Hui Xie +4LLM QuantizationAI Accelerator Inference