Author

Xiaohongshu Tech REDtech

Official account of the Xiaohongshu tech team, sharing tech innovations and problem insights, advancing together.

119

Articles

Likes

409

Views

Comments

Latest from Xiaohongshu Tech REDtech

100 recent articles max

Xiaohongshu Tech REDtech

May 22, 2025 · Artificial Intelligence

Scalable Overload-Aware Graph-Based Index Construction for 10‑Billion‑Scale Vector Similarity Search (SOGAIC)

The paper introduces SOGAIC, a scalable overload‑aware graph‑based index construction system for billion‑scale vector similarity search that uses adaptive overlapping partitioning and load‑balanced distributed scheduling to cut construction time by 47.3% while maintaining high recall.

ANNDistributed Schedulinggraph index

0 likes · 13 min read

Scalable Overload-Aware Graph-Based Index Construction for 10‑Billion‑Scale Vector Similarity Search (SOGAIC)

Xiaohongshu Tech REDtech

May 19, 2025 · Industry Insights

How Xiaohongshu Built a Minute‑Level Near‑Real‑Time Data Warehouse with Incremental Computing

Facing billions of daily logs and the need for minute‑level experiment metrics, Xiaohongshu partnered with Yunqi Tech to design a generic incremental‑compute solution that delivers near‑real‑time data warehousing with lower cost, higher accuracy, simplified pipelines, and improved query performance.

Big DataFlinkIceberg

0 likes · 24 min read

How Xiaohongshu Built a Minute‑Level Near‑Real‑Time Data Warehouse with Incremental Computing

Xiaohongshu Tech REDtech

Mar 13, 2025 · Artificial Intelligence

UniCBE: A Unified Multi‑Objective Optimization Framework for Contrastive Based Evaluation

UniCBE introduces a unified multi‑objective optimization framework for contrastive‑based evaluation that mitigates sampling bias, unbalanced uncertainty reduction, and inefficient resource allocation by combining three decoupled probability matrices through a greedy and Hadamard‑product strategy, achieving Pearson correlations above 0.995 with only 83 % of the annotation budget and cutting evaluation costs by more than 50 % across diverse LLM evaluators.

Contrastive EvaluationEfficiencySampling Bias

0 likes · 10 min read

UniCBE: A Unified Multi‑Objective Optimization Framework for Contrastive Based Evaluation

Xiaohongshu Tech REDtech

Mar 6, 2025 · Backend Development

ROFF: A High‑Performance Seven‑Layer Rust‑Based Gateway with TLS Offload, QUIC/HTTP3, and Dynamic Module System

ROFF is a Rust‑implemented, seven‑layer gateway that delivers high‑throughput load balancing with memory‑safe performance, TLS hardware offload, native QUIC/HTTP3 support, a hot‑reload/upgrade mechanism, and an extensible module system allowing over thirty built‑in filters and custom Rust macros.

HTTP/3QUICRust

0 likes · 28 min read

ROFF: A High‑Performance Seven‑Layer Rust‑Based Gateway with TLS Offload, QUIC/HTTP3, and Dynamic Module System

Xiaohongshu Tech REDtech

Feb 27, 2025 · Artificial Intelligence

SAFE: A Lightweight General AI Image Detection Method Achieving 96.7% Accuracy Across 33 Test Subsets

SAFE is a lightweight AI‑image detection framework using only 1.44 M parameters and 2.30 B FLOPs that preserves fine‑grained artifacts through crop‑based preprocessing, invariant augmentations, and high‑frequency wavelet features, achieving an average 96.7 % accuracy across 33 test subsets and strong generalization to unseen GAN and diffusion generators.

AI image detectionGenerative Modelscomputer vision

0 likes · 11 min read

SAFE: A Lightweight General AI Image Detection Method Achieving 96.7% Accuracy Across 33 Test Subsets

Xiaohongshu Tech REDtech

Feb 24, 2025 · Artificial Intelligence

AIDE: Hybrid Feature Detector for AI‑Generated Image Detection and the Chameleon Benchmark

The paper introduces AIDE, a hybrid AI‑generated image detector that fuses low‑level pixel statistics with high‑level semantic embeddings, and the manually curated Chameleon benchmark of ~26 000 diverse, high‑realism images, showing AIDE surpasses nine state‑of‑the‑art methods by up to 4.6 % while highlighting remaining challenges on this tougher dataset.

AI-generated image detectionbenchmark datasetcomputer vision

0 likes · 14 min read

AIDE: Hybrid Feature Detector for AI‑Generated Image Detection and the Chameleon Benchmark

Xiaohongshu Tech REDtech

Feb 20, 2025 · Big Data

How Xiaohongshu Accelerated Data Warehouse Queries with Logical Datasets & Materialized Views

Xiaohongshu tackled low reuse of APP tables, limited scalability of single-table BI datasets, and poor dashboard query performance by introducing logical datasets and materialized views, which enable query pruning, reduce data redundancy, and accelerate BI queries, achieving up to 80% latency reduction and higher hit rates.

BIBig DataData Warehouse

0 likes · 25 min read

How Xiaohongshu Accelerated Data Warehouse Queries with Logical Datasets & Materialized Views

Xiaohongshu Tech REDtech

Feb 17, 2025 · Artificial Intelligence

WorldSense: A New Benchmark for Evaluating Multimodal Large Models in Real‑World Scenarios

WorldSense, a new benchmark of 1,662 real‑world video‑audio clips and 3,172 QA pairs across 26 cognitive tasks, reveals that current multimodal large models achieve only 25%–48% accuracy, highlighting the crucial role of combined visual‑audio input and the difficulty of audio‑ and emotion‑related reasoning.

Large Modelsbenchmark datasetmodel analysis

0 likes · 12 min read

WorldSense: A New Benchmark for Evaluating Multimodal Large Models in Real‑World Scenarios

Xiaohongshu Tech REDtech

Jan 16, 2025 · Cloud Native

Xiaohongshu Large-Scale Cloud-Native Mixed Deployment and Elasticity Practices

Xiaohongshu’s cloud‑native team transformed its over‑90% containerized services by introducing resource‑pooled mixed deployment, fine‑grained unified scheduling, and an elastic container pool with global HPA and cluster autoscaling—driving 35% of resources to mixed use, tens of millions of daily core‑hours, and roughly 30% cost savings while preparing for hybrid‑cloud expansion and FinOps.

Containerizationcloud-nativeelasticity

0 likes · 7 min read

Xiaohongshu Large-Scale Cloud-Native Mixed Deployment and Elasticity Practices

Xiaohongshu Tech REDtech

Jan 16, 2025 · Artificial Intelligence

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

The authors present a semantic‑graph‑enhanced uncertainty modeling framework that captures token, sentence, and paragraph dependencies, propagates uncertainty through entity relations and contradiction probabilities, and achieves roughly a 20 % gain in paragraph‑level hallucination detection on WikiBio and NoteSum compared with existing uncertainty‑based baselines.

Semantic GraphSentence-level ModelingToken-level Modeling

0 likes · 13 min read

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection