Actualités
RAG-based Architectures for Drug Side Effect Retrieval in LLMs
arXiv:2507.13822v1 Announce Type: cross Abstract: Drug side effects are a major global health concern, necessitating...
RAG Without Vectors: How PageIndex Retrieves by Reasoning
Retrieval is where most RAG systems quietly break. Traditional pipelines rely on vector similarity—embedding queries...
RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt
Large context windows have dramatically increased how much information modern language models can process in...
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
arXiv:2311.18681v3 Announce Type: replace-cross Abstract: Conversational AI tools that can generate and discuss clinically correct...
RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs
TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL...
R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch
Large Language Models (LLMs) have revolutionized fields from natural language understanding to reasoning and code...
QwenLong-L1 solves long-context reasoning challenge that stumps current LLMs
Alibaba’s QwenLong-L1 helps LLMs deeply understand long documents, unlocking advanced reasoning for practical enterprise applications.Read...
Qwen3-ASR-Toolkit: An Advanced Open Source Python Command-Line Toolkit for Using the Qwen-ASR API Beyond the 3 Minutes/10 MB Limit
Qwen has released Qwen3-ASR-Toolkit, an MIT-licensed Python CLI that programmatically bypasses the Qwen3-ASR-Flash API’s 3-minute/10...
Qwen Researchers Release Qwen3-TTS: an Open Multilingual TTS Suite with Real-Time Latency and Fine-Grained Voice Control
Alibaba Cloud’s Qwen team has open-sourced Qwen3-TTS, a family of multilingual text-to-speech models that target...
Quiet Feature Learning in Algorithmic Tasks
arXiv:2505.03997v1 Announce Type: cross Abstract: We train Transformer-based language models on ten foundational algorithmic tasks...
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
arXiv:2503.22879v3 Announce Type: replace-cross Abstract: State Space Models (SSMs) are emerging as a compelling alternative...
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis
arXiv:2603.07766v1 Announce Type: new Abstract: We present our system for SemEval-2026 Task 3 on dimensional...
