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AntTech

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Latest from AntTech

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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

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

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

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.

CLIPVQAcontrastive learning

0 likes · 7 min read

How Triple Alignment and Rationale Generation Supercharge Knowledge‑Based VQA

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

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+DBMulti-Agent Reinforcement Learningdatabase tuning

0 likes · 9 min read

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

AntTech

Jan 14, 2026 · Artificial Intelligence

Boosting Secure AI: HAWK Accelerator and FHEFusion Compiler Break New Ground

This article highlights two cutting‑edge works from Ant Group’s research team—HAWK, a fixed‑word key decomposition switching accelerator that overcomes hardware challenges for FHE, and FHEFusion, a compiler framework that introduces operator fusion to dramatically speed CKKS‑based DNN inference—showcasing their designs, optimizations, and experimental gains.

DNN inferenceFully Homomorphic EncryptionSecure AI

0 likes · 7 min read

Boosting Secure AI: HAWK Accelerator and FHEFusion Compiler Break New Ground

AntTech

Dec 18, 2025 · Artificial Intelligence

How AEnvironment Powers Scalable Agentic RL with a Unified MCP Protocol

AEnvironment is an open‑source, unified environment platform for Agentic Reinforcement Learning that abstracts all resources as services via the MCP protocol, enabling trillion‑scale model training, rapid app generation, benchmark integration, and seamless deployment through a high‑performance ASandbox runtime.

AEnvironmentAgentic RLEnvironment Platform

0 likes · 11 min read

How AEnvironment Powers Scalable Agentic RL with a Unified MCP Protocol

AntTech

Dec 11, 2025 · Artificial Intelligence

Unlock Scalable RL: AReaL’s Decoupled Agentic Framework & Single‑Controller Design

This article explains how the open‑source AReaL framework boosts large‑scale reinforcement learning by separating agent execution from training logic, introducing a decoupled Agentic RL service and a Single‑Controller architecture that improves data flow, fault tolerance, and GPU utilization.

Agentic AIDistributed TrainingOpen-source

0 likes · 14 min read

Unlock Scalable RL: AReaL’s Decoupled Agentic Framework & Single‑Controller Design

AntTech

Dec 6, 2025 · Artificial Intelligence

FinEval‑KR: Diagnosing Knowledge vs. Reasoning Gaps in Financial Large Language Models

FinEval‑KR, a new EMNLP2025 evaluation framework co‑authored by Shanghai University of Finance and Economics and Ant Group, separates knowledge coverage from logical reasoning to reveal why financial LLMs often hallucinate on calculation tasks, introduces KS, RS, and CS metrics, and ranks 18 state‑of‑the‑art models on a rigorously curated finance dataset.

Finance AIKnowledge vs reasoningLLM evaluation

0 likes · 14 min read

FinEval‑KR: Diagnosing Knowledge vs. Reasoning Gaps in Financial Large Language Models