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AntTech

Jul 18, 2025 · Artificial Intelligence

Explore the 2025 CCF‑Ant Research Fund: 50 Cutting‑Edge Projects in AI, Security & Computing

The CCF‑Ant Research Fund 2025, now open for its first batch, invites global university and institute researchers to apply by August 25 2025 for up to 50 projects spanning data security, hardware‑software co‑design, supercomputing, and artificial intelligence, with detailed topics, eligibility rules, and submission channels provided.

Data SecurityHardware‑software co‑designResearch Funding

0 likes · 11 min read

Explore the 2025 CCF‑Ant Research Fund: 50 Cutting‑Edge Projects in AI, Security & Computing

AntTech

Jul 17, 2025 · Artificial Intelligence

How M2-Reasoning-7B Achieves State‑of‑the‑Art Spatial Reasoning in Multimodal AI

M2-Reasoning-7B, an open‑source 7B multimodal model from Ant Group, combines a high‑quality data pipeline with dynamic multi‑task training and a novel reward function to deliver state‑of‑the‑art performance on both general and spatial reasoning benchmarks, surpassing many larger competitors.

M2-Reasoningbenchmarklarge language model

0 likes · 9 min read

How M2-Reasoning-7B Achieves State‑of‑the‑Art Spatial Reasoning in Multimodal AI

AntTech

Jul 16, 2025 · Artificial Intelligence

Can AI Auditors Match Human Experts? Inside RepoAudit’s LLM‑Powered Code Review

The EXPRESS Workshop at ISSTA 2025, hosted by Ant Group, featured a keynote by Purdue’s Prof. Zhang on an LLM‑driven “Human‑like AI Auditor” called RepoAudit, which demonstrated high‑accuracy automated code review, uncovering dozens of real bugs and hundreds of zero‑day vulnerabilities across major open‑source projects.

AILLMRepoAudit

0 likes · 6 min read

Can AI Auditors Match Human Experts? Inside RepoAudit’s LLM‑Powered Code Review

AntTech

Jul 14, 2025 · Artificial Intelligence

How Can We Build Trustworthy AI with Systemic Multi‑Agent Governance?

The article reviews Yang Xiaofang’s presentation on trustworthy AI, emphasizing the need for systematic support, inclusive design, and participatory governance, and outlines the evolution, capabilities, risks, and multi‑layered solutions for multi‑agent AI systems.

AI securityGovernanceMulti-Agent Systems

0 likes · 9 min read

How Can We Build Trustworthy AI with Systemic Multi‑Agent Governance?

AntTech

Jul 14, 2025 · Artificial Intelligence

What Is the New AI Agent Safety Testing Standard and Why It Matters

The World Digital Academy unveiled the AI STR series' first global AI Agent Operation Safety Testing Standard, detailing a full‑link risk analysis framework, novel testing methods, and its role in addressing rising safety concerns as AI agents become mainstream in 2025.

AI governanceAI safetyArtificial Intelligence

0 likes · 5 min read

What Is the New AI Agent Safety Testing Standard and Why It Matters

AntTech

Jul 9, 2025 · Artificial Intelligence

How KAG-Thinker Boosts Structured Reasoning in Large Language Models

The KAG-Thinker model, a collaborative effort by Ant Group, Zhejiang University, and Tongji University, introduces a hierarchical "breadth splitting + depth solving" framework that enhances logical stability, knowledge utilization, and retrieval robustness for complex multi‑hop reasoning tasks across general and specialized domains.

AIKAG-ThinkerKnowledge Retrieval

0 likes · 10 min read

How KAG-Thinker Boosts Structured Reasoning in Large Language Models

AntTech

Jul 8, 2025 · Artificial Intelligence

Four AI Papers at ACL 2025: Graph QA, Unsupervised Tokenizer, LLM Offsite Tuning

At ACL 2025 in Vienna, a live paper showcase will dissect four cutting‑edge AI studies: the M3GQA benchmark for multi‑entity graph question answering, an unsupervised morphological tree tokenizer, the GradOT method for training‑free, gradient‑preserving offsite LLM tuning, and a large‑language‑model approach to historical analogy.

ACL 2025Graph QAHistorical analogy

0 likes · 8 min read

Four AI Papers at ACL 2025: Graph QA, Unsupervised Tokenizer, LLM Offsite Tuning

AntTech

Jul 3, 2025 · Artificial Intelligence

How Ant Group’s AI Multimodal Evaluation Transforms Image, Speech, and Video Quality Testing

In a QECon 2025 talk, Ant Group’s AI team detailed a comprehensive multimodal evaluation framework that leverages large‑model metrics, custom pipelines, and benchmark datasets to assess image generation, speech recognition, and video quality, while also contributing to industry standards and academic research.

AI evaluationimage assessmentlarge-models

0 likes · 16 min read

How Ant Group’s AI Multimodal Evaluation Transforms Image, Speech, and Video Quality Testing

AntTech

Jul 2, 2025 · Artificial Intelligence

How Multimodal Large Models Revolutionize UI Automation Testing

This article details how Alibaba's Ant Group leverages multimodal large‑language models and multi‑agent architectures to create a low‑code, AI‑driven UI automation testing framework that improves test coverage, reduces manual effort, and scales across diverse mobile mini‑program scenarios.

AI testingMultimodal LLMUI automation

0 likes · 9 min read

How Multimodal Large Models Revolutionize UI Automation Testing

AntTech

Jun 25, 2025 · Artificial Intelligence

CVPR 2025: Semi-Body Digital Humans, Video Upscaling, Mobile Super‑Res

In this CVPR 2025 showcase, Ant Group presents three cutting‑edge papers—EchoMimicV2 introducing an open‑source semi‑body digital human generation framework, RivuletMLP offering an efficient MLP‑based architecture for compressed video quality enhancement, and a quantized super‑resolution model that achieves real‑time 3× upscaling on mobile NPUs.

AICVPRcomputer vision

0 likes · 6 min read

CVPR 2025: Semi-Body Digital Humans, Video Upscaling, Mobile Super‑Res