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AntTech

Technology is the core driver of Ant's future creation.

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Latest from AntTech

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AntTech
AntTech
Apr 7, 2026 · Information Security

How YASA Enables Scalable Multi‑Language Taint Analysis with a Unified AST

The article introduces YASA, a unified multi‑language static taint analysis framework built on a novel Unified Abstract Syntax Tree (UAST), explains its design, core components, open‑source releases, and benchmark results that demonstrate superior coverage, precision, and performance over existing single‑ and multi‑language tools.

Multi-languageOpen SourceSoftware Security
0 likes · 9 min read
How YASA Enables Scalable Multi‑Language Taint Analysis with a Unified AST
AntTech
AntTech
Apr 2, 2026 · Information Security

How ClawAegis Secures OpenClaw AI Agents with a Native Immunity System

Ant Group’s AI Security Lab and Tsinghua University have open‑sourced ClawAegis, a native security‑immune framework for OpenClaw agents that protects the entire lifecycle—from initialization to execution—by detecting malicious skill injections, memory poisoning, permission abuse, and providing dynamic auditing, configurable policies, and resource‑level safeguards.

AI securityAgent safetyOpenClaw
0 likes · 5 min read
How ClawAegis Secures OpenClaw AI Agents with a Native Immunity System
AntTech
AntTech
Mar 4, 2026 · Artificial Intelligence

Zooming Without Zooming: One‑Pass Fine‑Grained Vision for Multimodal LLMs

A new Region‑to‑Image Distillation (R2I) approach lets multimodal large language models perceive tiny visual details in a single forward pass, eliminating costly tool calls while achieving state‑of‑the‑art accuracy on the ZoomBench fine‑grained benchmark.

ZoomBenchfine-grained perceptionlarge language models
0 likes · 11 min read
Zooming Without Zooming: One‑Pass Fine‑Grained Vision for Multimodal LLMs
AntTech
AntTech
Feb 16, 2026 · Artificial Intelligence

Ling‑2.5‑1T: Open‑Source 1‑Trillion‑Parameter Instant LLM with 1M‑Token Context

Ling‑2.5‑1T is an open‑source instant large language model with 1 trillion total parameters, 63 B active weights, and a 1 M token context window, featuring mixed‑linear attention, a composite correctness‑plus‑process reward for token efficiency, fine‑grained alignment, and leading benchmark performance across reasoning, instruction‑following, and agentic tasks.

Large Language Modelagentic interactionbenchmark
0 likes · 13 min read
Ling‑2.5‑1T: Open‑Source 1‑Trillion‑Parameter Instant LLM with 1M‑Token Context
AntTech
AntTech
Feb 10, 2026 · Artificial Intelligence

How Split4D Reconstructs 4D Dynamic Scenes Without Video Segmentation

Split4D introduces a novel paradigm for 4D scene reconstruction that eliminates the need for video segmentation by leveraging single‑frame 2D masks, a freetime feature learning strategy, streaming sampling, and 3D tracking regularization, achieving high‑quality, object‑level decoupled representations across complex dynamic scenarios.

4D reconstructionAI graphicsGaussian splatting
0 likes · 8 min read
How Split4D Reconstructs 4D Dynamic Scenes Without Video Segmentation
AntTech
AntTech
Feb 5, 2026 · Mobile Development

How Alipay Rebuilt Its ‘My Tab’ Using KMP for Seamless Three‑Platform Code

Alipay’s terminal team refactored the high‑traffic ‘My Tab’ feature into a single Kotlin Multiplatform codebase, tackling challenges like MVC‑to‑MVVM migration, frame‑rate drops, and cross‑platform stability, and sharing detailed design patterns, performance optimizations, and solutions for Android, iOS, and HarmonyOS.

Compose UICross‑platform developmentKotlin Multiplatform
0 likes · 13 min read
How Alipay Rebuilt Its ‘My Tab’ Using KMP for Seamless Three‑Platform Code
AntTech
AntTech
Feb 5, 2026 · Artificial Intelligence

How Triple Alignment and Rationale Generation Supercharge Knowledge‑Based VQA

This paper presents a lightweight, high‑efficiency framework called Triple Alignment with Rationale Generation (TAG) that transforms knowledge‑based visual question answering into a contrastive learning task, dramatically reducing trainable parameters while achieving state‑of‑the‑art performance on major KVQA benchmarks.

CLIPMultimodalVQA
0 likes · 7 min read
How Triple Alignment and Rationale Generation Supercharge Knowledge‑Based VQA
AntTech
AntTech
Jan 30, 2026 · Databases

Award-Winning Papers Reveal Databases, AI Typography, and Financial Benchmarks

Three award‑winning papers—OceanBase’s unitized database architecture for billion‑scale map services, a video‑diffusion‑based dynamic typography system that animates text semantically, and the FinBench LDBC financial graph benchmark—are examined, highlighting their design, experimental results, and impact on industry applications.

AIDistributed SystemsGraph Benchmark
0 likes · 6 min read
Award-Winning Papers Reveal Databases, AI Typography, and Financial Benchmarks
AntTech
AntTech
Jan 16, 2026 · Databases

Can Multi‑Agent Collaboration Automatically Tune Database Parameters with High Efficiency?

The paper presents CMA+DB, a hierarchical multi‑agent framework that automatically tunes database parameters across diverse workloads by combining classification‑based collaboration, layered training, and joint action selection, achieving superior performance, faster convergence, and strong generalization compared with existing tuning methods.

CMA+DBDatabase TuningPerformance Evaluation
0 likes · 9 min read
Can Multi‑Agent Collaboration Automatically Tune Database Parameters with High Efficiency?