Building a Foundational Guardrail for General Agentic Systems via Synthetic Data Paper • 2510.09781 • Published 6 days ago • 25
Health AI Developer Foundations (HAI-DEF) Collection Groups models released for use in health AI by Google. Read more about HAI-DEF at https://developers.google.com/health-ai-developer-foundations • 15 items • Updated Jul 10 • 106
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL Paper • 2503.07536 • Published Mar 10 • 88
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia Paper • 2503.07920 • Published Mar 10 • 101
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Paper • 2502.14296 • Published Feb 20 • 44
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval Paper • 2503.04644 • Published Mar 6 • 21
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Paper • 2503.02846 • Published Mar 4 • 18
MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents Paper • 2503.01935 • Published Mar 3 • 29
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents Paper • 2502.18017 • Published Feb 25 • 21
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering? Paper • 2502.13233 • Published Feb 18 • 15
Language Models' Factuality Depends on the Language of Inquiry Paper • 2502.17955 • Published Feb 25 • 33
SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators Paper • 2502.06394 • Published Feb 10 • 89
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 102
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 418
PaSa: An LLM Agent for Comprehensive Academic Paper Search Paper • 2501.10120 • Published Jan 17 • 51