#AI research

Articles (9)

• 🇺🇸 Epistemic Filtering and Collective Hallucination: A Jury Theorem for Confidence-Calibrated Agents — 27/02/2026 [USA]

  arXiv:2602.22413v1 Announce Type: new Abstract: We investigate the collective accuracy of heterogeneous agents who learn to estimate their own reliability over time and selectively abstain from votin...

  Related: #Collective intelligence, #Epistemic filtering
• 🇺🇸 What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis — 16/02/2026 [USA]

  arXiv:2602.12395v1 Announce Type: cross Abstract: Reinforcement learning (RL) with verifiable rewards has become a standard post-training stage for boosting visual reasoning in vision-language models...

  Related: #Machine learning, #Visual reasoning
• 🇺🇸 Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI — 16/02/2026 [USA]

  arXiv:2412.16543v4 Announce Type: replace Abstract: This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research, highlighting the transfo...

  Related: #Mathematical applications, #Technological innovation
• 🇺🇸 SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation — 16/02/2026 [USA]

  arXiv:2505.14381v3 Announce Type: replace Abstract: With the increasing adoption of Large Language Models (LLMs) and Vision-Language Models (VLMs), rich document analysis technologies for application...

  Related: #Document analysis, #Retrieval-Augmented Generation
• 🇺🇸 How to Train Your LLM Web Agent: A Statistical Diagnosis — 16/02/2026 [USA]

  arXiv:2507.04103v4 Announce Type: replace Abstract: LLM-based web agents have recently made significant progress, but much of it has occurred in closed-source systems, widening the gap with open-sour...

  Related: #Open-source development, #Web agents
• 🇺🇸 RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models — 16/02/2026 [USA]

  arXiv:2510.19698v2 Announce Type: replace Abstract: Large Language Models (LLMs) can propose rules in natural language, sidestepping the need for a predefined predicate space in traditional rule lear...

  Related: #Machine learning, #Rule-based systems
• 🇺🇸 Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study — 16/02/2026 [USA]

  arXiv:2510.22747v2 Announce Type: replace-cross Abstract: Despite the widespread adoption of large language models (LLMs), their strongest capabilities remain largely confined to a small number of hi...

  Related: #linguistic diversity, #machine learning, #language technology
• 🇺🇸 The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models — 29/01/2026 [USA]

  arXiv:2601.19926v1 Announce Type: cross Abstract: We present a systematic review of 337 articles evaluating the syntactic abilities of Transformer-based language models, reporting on 1,015 model resu...

  Related: #Technology, #Linguistics
• 🇺🇸 Measuring AI’s capability to accelerate biological research — 16/12/2025 [USA]

  OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both th...

  Related: #Scientific innovation, #Laboratory technology