Noticias
PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
arXiv:2511.14130v1 Announce Type: cross Abstract: With the rapid progress of large language models (LLMs), financial...
Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
arXiv:2505.08971v1 Announce Type: cross Abstract: In standard large vision-language models (LVLMs) pre-training, the model typically...
Prior Labs Releases TabPFN-2.5: The Latest Version of TabPFN that Unlocks Scale and Speed for Tabular Foundation Models
Tabular data is still where many important models run in production. Finance, healthcare, energy and...
Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
Prime Intellect launched verifiers 0.2.0. It previews a rewritten core, shipped under the new verifiers.v1...
Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads
Prime Intellect has released prime-rl version 0.6.0. The framework targets reinforcement learning on trillion-parameter Mixture-of-Experts...
Pretrain a BERT Model from Scratch
This article is divided into three parts; they are: • Creating a BERT Model the...
Preparing Data for BERT Training
This article is divided into four parts; they are: • Preparing Documents • Creating Sentence...
Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT)
Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement...
Predicting the Performance of Black-box LLMs through Self-Queries
arXiv:2501.01558v3 Announce Type: replace-cross Abstract: As large language models (LLMs) are increasingly relied on in...
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
arXiv:2510.12121v1 Announce Type: cross Abstract: Precise attribute intensity control–generating Large Language Model (LLM) outputs with...
Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study
arXiv:2111.05671v2 Announce Type: replace Abstract: Question answering(QA) is one of the most challenging yet widely...
Pragmatic Reasoning improves LLM Code Generation
arXiv:2502.15835v3 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive potential in translating...
