News
Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors
arXiv:2507.05939v1 Announce Type: new Abstract: Nowadays, misinformation articles, especially multimodal ones, are widely spread on...
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
arXiv:2505.05084v2 Announce Type: replace Abstract: The rapid advancement of large language models has raised significant...
Release Note May 16, 2025
Added new features to the FORM page Updated pricing information on the pricing page Improved...
Release Note May 16, 2025
– Added new features to the FORM page – Updated pricing information on the pricing...
Reinforcement Learning Teachers of Test Time Scaling
arXiv:2506.08388v2 Announce Type: replace-cross Abstract: Training reasoning language models (LMs) with reinforcement learning (RL) for...
Recognizing Limits: Investigating Infeasibility in Large Language Models
arXiv:2408.05873v3 Announce Type: replace Abstract: Large language models (LLMs) have shown remarkable performance in various...
READoc: A Unified Benchmark for Realistic Document Structured Extraction
arXiv:2409.05137v3 Announce Type: replace Abstract: Document Structured Extraction (DSE) aims to extract structured content from...
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...
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...
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...
Quiet Feature Learning in Algorithmic Tasks
arXiv:2505.03997v1 Announce Type: cross Abstract: We train Transformer-based language models on ten foundational algorithmic tasks...
