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Amap Tech

Oct 2, 2025 · Artificial Intelligence

How FantasyWorld Unifies Video Generation and 3D Geometry for Consistent Virtual Worlds

FantasyWorld introduces a geometry‑enhanced framework that augments a frozen video diffusion model with a trainable geometry branch, enabling simultaneous video representation and implicit 3D field generation, achieving spatially consistent, high‑quality virtual worlds and outperforming recent baselines in multi‑view coherence and geometric fidelity.

3D modelingComputer Visiondiffusion models

0 likes · 11 min read

How FantasyWorld Unifies Video Generation and 3D Geometry for Consistent Virtual Worlds

Amap Tech

Sep 29, 2025 · Artificial Intelligence

How Gaode’s AI‑Powered Route Planner Saves Money and Time During Holiday Travel

Gaode Map introduces three AI‑driven routing features—toll‑free exit recommendation, global faster‑route optimization, and high‑frequency rapid‑route detection—that combine massive traffic data, multi‑objective algorithms, and real‑time prediction to help users save both toll costs and travel time during the National Day travel peak.

AIBig DataNavigation

0 likes · 8 min read

How Gaode’s AI‑Powered Route Planner Saves Money and Time During Holiday Travel

Amap Tech

Sep 25, 2025 · Artificial Intelligence

How Amap Engineers Precise, Real‑Time Intersection Data with AI and Optimization

This article explains how Amap tackles the complex challenge of guiding users safely through diverse intersections by simplifying intersection models, automating topology generation, applying multimodal AI for data updates, and building an AI‑driven navigation agent that delivers accurate, real‑time routing.

AI navigationOptimizationReal-time Updates

0 likes · 8 min read

How Amap Engineers Precise, Real‑Time Intersection Data with AI and Optimization

Amap Tech

Sep 19, 2025 · Artificial Intelligence

How FSDrive Uses Spatio‑Temporal CoT to Revolutionize Autonomous Driving

FSDrive introduces a spatio‑temporal chain‑of‑thought approach that enables visual language models to generate future driving scenes as images, improving trajectory planning accuracy and safety by eliminating cross‑modal gaps and enforcing physical constraints in autonomous driving.

AI researchAutonomous Drivingspatio-temporal CoT

0 likes · 10 min read

How FSDrive Uses Spatio‑Temporal CoT to Revolutionize Autonomous Driving

Amap Tech

Sep 4, 2025 · Artificial Intelligence

How Hierarchical Sampling Boosts Self‑Taught Reasoning in LLMs

HS‑STAR introduces a three‑stage hierarchical sampling framework that identifies high‑utility boundary problems, reallocates computation budget to them, and fine‑tunes large language models, achieving significant accuracy gains on math reasoning benchmarks without extra sampling cost.

HS-STARHierarchical Samplingdifficulty estimation

0 likes · 10 min read

How Hierarchical Sampling Boosts Self‑Taught Reasoning in LLMs

Amap Tech

Sep 2, 2025 · Artificial Intelligence

How Pos2Distill Eliminates Positional Bias in Large Language Models

This article introduces Pos2Distill, a novel knowledge‑distillation framework that transfers capabilities from advantageous to disadvantaged positions in large language models, effectively mitigating positional bias and improving performance on long‑text retrieval and in‑context reasoning tasks.

Knowledge Distillationin-context reasoninglarge language models

0 likes · 10 min read

How Pos2Distill Eliminates Positional Bias in Large Language Models

Amap Tech

Aug 28, 2025 · Artificial Intelligence

How AI Powers Real‑Time Bus and Subway Predictions in Smart Cities

This article explores how Gaode leverages AI and large‑scale spatio‑temporal pre‑training to transform uncertain urban transit into reliable, real‑time bus and subway predictions, detailing technical challenges, model architectures, and user‑focused features that enhance daily commuting.

Gaodepredictionpublic transportation

0 likes · 7 min read

How AI Powers Real‑Time Bus and Subway Predictions in Smart Cities

Amap Tech

Aug 18, 2025 · Artificial Intelligence

How Omni-Effects Enables Spatially Controllable Multi‑VFX Generation with LoRA‑MoE

Omni-Effects introduces a unified framework that combines LoRA‑based expert mixture models and spatially aware prompts to generate multiple, precisely placed visual effects in video, supported by the new Omni‑VFX dataset and evaluation suite, demonstrating superior spatial control and diversity over prior single‑effect methods.

AILoRAcomputer graphics

0 likes · 8 min read

How Omni-Effects Enables Spatially Controllable Multi‑VFX Generation with LoRA‑MoE

Amap Tech

Aug 7, 2025 · Artificial Intelligence

Boosting Codebase Upgrades with Code RAG and Agent‑Driven Fine‑Tuning

This article describes how the Gaode terminal team tackled large‑scale repository upgrades by building a code‑RAG and code‑Agent tool, addressing recall and stability issues, then fine‑tuning a small LLM (Qwen3‑4B) with LoRA and custom datasets to achieve reliable, low‑cost, on‑device code‑query performance.

Code AgentKnowledge GraphLLM

0 likes · 11 min read

Boosting Codebase Upgrades with Code RAG and Agent‑Driven Fine‑Tuning

Amap Tech

Jul 24, 2025 · Artificial Intelligence

FingER: Fine-Grained Evaluation and Reasoning for AI-Generated Videos

The paper introduces FingER, an entity-level evaluation framework and the FingER-Instruct-60k dataset for assessing AI-generated video quality with fine-grained reasoning, and demonstrates state-of-the-art zero-shot performance on multiple benchmarks using novel training strategies.

AI-generated videoMultimodal LLMdataset

0 likes · 9 min read

FingER: Fine-Grained Evaluation and Reasoning for AI-Generated Videos