Researchers propose Temporal Tree of Thought (T^3), a training-free framework that improves long-video understanding in Multimodal Large Language Models by constructing a hierarchical temporal tree an…
Researchers propose Answer-Level Trust Selection (ATS), a post-hoc framework that accepts or rejects individual vision-language model (VLM) predictions for physical quantity estimation without fine-tu…
Alibaba's Qwen team unveiled Qwen3.8-Max, a 2.4-trillion-parameter language model with 95 billion active parameters, designed to autonomously complete complex tasks over extended periods. In testing, …
A new classification-guided large vision-language model (LVLM) framework for visual information extraction (VIE) from documents achieves 86.43% F1-score in zero-shot inference on a real-world bidding …
Researchers introduce SLAPBench, the first benchmark for evaluating multimodal large language models (MLLMs) on four-finger SLAP fingerprint verification, built from NIST SD302b with 7,832 pairs. Unde…
Researchers introduce SD-MAR, a framework using synthetic data and reinforcement learning to train vision-language models on multi-image analytical reasoning tasks such as change detection and visual …
Unitree Robotics received regulatory approval on July 3 for a $619 million IPO on Shanghai's STAR Market, becoming the first humanoid robot company to go public on China's domestic A-share market. The…
Researchers introduced DMV-Bench, the first interactive benchmark for multimodal-agent visual memory, testing agents' ability to recall visual cues from product images in a simulated e-commerce enviro…
Researchers introduced GRIP, a feedback-guided retrieval framework for multimodal in-context learning that selects examples based on their actual impact on model predictions rather than visual similar…
Anyscale released agent skills for debugging Ray workloads, including /anyscale-platform-fix and /anyscale-platform-inspect, which automate troubleshooting of failing pipelines. A user demonstrated fi…