MMSearch-R1: End-to-End Reinforcement Learning for Active Image Search in LMMs
Large Multimodal Models (LMMs) have demonstrated remarkable capabilities when trained on extensive...
Scalable and Principled Reward Modeling for LLMs: Enhancing Generalist Reward Models RMs with SPCT...
Reinforcement Learning RL has become a widely used post-training method for LLMs,...
Transformer Meets Diffusion: How the Transfusion Architecture Empowers GPT-4o’s Creativity
OpenAI’s GPT-4o represents a new milestone in multimodal AI: a single model...
This AI Paper from Anthropic Introduces Attribution Graphs: A New Interpretability Method to Trace...
While the outputs of large language models (LLMs) appear coherent and useful,...
Anthropic’s Evaluation of Chain-of-Thought Faithfulness: Investigating Hidden Reasoning, Reward Hacks, and the Limitations of...
A key advancement in AI capabilities is the development and use of...
Reducto AI Released RolmOCR: A SoTA OCR Model Built on Qwen 2.5 VL, Fully...
Optical Character Recognition (OCR) has long been a cornerstone of document digitization,...
Meta AI Just Released Llama 4 Scout and Llama 4 Maverick: The First Set...
Today, Meta AI announced the release of its latest generation multimodal models,...
Scalable Reinforcement Learning with Verifiable Rewards: Generative Reward Modeling for Unstructured, Multi-Domain Tasks
Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing LLMs’...
NVIDIA AI Released AgentIQ: An Open-Source Library for Efficiently Connecting and Optimizing Teams of...
Enterprises increasingly adopt agentic frameworks to build intelligent systems capable of performing...
Meet GenSpark Super Agent: The All-in-One AI Agent that Autonomously Think, Plan, Act, and...
GenSpark Super Agent (often just called GenSpark) is a new general-purpose AI...
