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Kuaishou Tech
Kuaishou Tech
Jun 18, 2026 · Artificial Intelligence

Kuaishou Tech Team Highlights Multiple ICML 2026 Papers Across AI Domains

The Kuaishou technology team reports that several of its papers were accepted at the prestigious ICML 2026 conference—including a spotlight paper on metaphor video understanding, works on causal discovery for irregular time series, image super‑resolution, large‑scale notification dispatch, full‑order ranking, phase‑aware MoE for RL, end‑to‑end e‑commerce search, spatial‑reasoning rewards, a unified SWE benchmark, video temporal grounding, and interpretable transformers—while also inviting attendees to visit their booth B101 in Seoul.

Agentic AIComputer VisionICML 2026
0 likes · 18 min read
Kuaishou Tech Team Highlights Multiple ICML 2026 Papers Across AI Domains
Kuaishou Tech
Kuaishou Tech
Jun 16, 2026 · Artificial Intelligence

Generative Recommendation at Kuaishou: Systematic Evolution and Salon Highlights

The article recaps Kuaishou's June 13 technical salon, detailing the systematic evolution of generative recommendation—from scaling models to reasoning enhancements—through core projects OneReason, Pool‑Rec, OneSearch V2, and GR4AD, and announces the industry‑wide LLM‑Rec challenge for students.

GR4ADGenerative RecommendationKuaishou
0 likes · 10 min read
Generative Recommendation at Kuaishou: Systematic Evolution and Salon Highlights
Kuaishou Tech
Kuaishou Tech
Jun 11, 2026 · Artificial Intelligence

Keye-VL-2.0 Brings DeepSeek Sparse Attention to Multimodal AI – Report Released

Keye‑VL‑2.0, an open‑source MoE multimodal foundation model, tackles hour‑level video understanding and agentic intelligence by embedding DeepSeek Sparse Attention into a GQA‑based architecture, enabling near‑lossless 256 K token context, four‑stage pre‑training, diverse RL distillation techniques, and achieving state‑of‑the‑art results on long‑video benchmarks, with weights publicly released.

MoEPretrainingRL distillation
0 likes · 8 min read
Keye-VL-2.0 Brings DeepSeek Sparse Attention to Multimodal AI – Report Released
Kuaishou Tech
Kuaishou Tech
Jun 10, 2026 · Mobile Development

How Kuaishou Scaled HarmonyOS: Technical Practices Unveiled at HDC 2026

The article outlines Kuaishou's seven technical sessions at HDC 2026, detailing solutions for HarmonyOS large‑scale deployment such as startup performance, HD streaming, memory‑leak mitigation, cross‑platform framework adaptation, KMP integration, ArkUI optimization, and AI‑native enhancements.

AI integrationArkUICross-Platform Development
0 likes · 9 min read
How Kuaishou Scaled HarmonyOS: Technical Practices Unveiled at HDC 2026
Kuaishou Tech
Kuaishou Tech
Jun 8, 2026 · Artificial Intelligence

CVPR NTIRE 2026 UGC Short Video Restoration Challenge: Winning Solutions Revealed

The CVPR NTIRE 2026 challenge introduced the KwaiVIR benchmark for real‑world UGC short‑video degradation and hosted two tracks—subjective and objective—where 12 teams submitted results, with RedMediaTech achieving top scores across fidelity, perceptual quality, and temporal consistency, followed by detailed analyses of the leading methods.

KwaiVIR datasetNTIRE 2026UGC video restoration
0 likes · 10 min read
CVPR NTIRE 2026 UGC Short Video Restoration Challenge: Winning Solutions Revealed
Kuaishou Tech
Kuaishou Tech
May 18, 2026 · Artificial Intelligence

How ALM‑MTA Improves Multi‑Touch Attribution with Front‑Door Identification and Adversarial Modeling

The ALM‑MTA method combines front‑door causal adjustment with an adversarial proxy for the unobserved mediator, eliminating hidden confounding in multi‑touch attribution and delivering more reliable uplift estimates that boosted Kuaishou's DAU by 0.6% and AUC by 11% over SOTA baselines, as reported in an ICLR 2026 paper.

AI researchadversarial learningcausal attribution
0 likes · 13 min read
How ALM‑MTA Improves Multi‑Touch Attribution with Front‑Door Identification and Adversarial Modeling
Kuaishou Tech
Kuaishou Tech
Apr 29, 2026 · Operations

Boosting Oncall Interception from 15% to 55%: KOncall’s AI‑Driven Evolution at Kuaishou

Kuaishou’s R&D efficiency team built the KOncall intelligent on‑call platform, integrating LLM‑based retrieval‑augmented generation, Redis Pub/Sub streaming, OCR multimodal parsing, FAQ knowledge ops, and custom reranking, which raised automated query interception from 15% to 55% and processed over 116 000 requests, turning on‑call from a bottleneck into a capability starter.

AI OperationsKnowledge ManagementLLM
0 likes · 26 min read
Boosting Oncall Interception from 15% to 55%: KOncall’s AI‑Driven Evolution at Kuaishou
Kuaishou Tech
Kuaishou Tech
Apr 24, 2026 · Artificial Intelligence

ICLR 2026: Kuaishou Tech Team’s Cutting‑Edge AI Research Highlights

This article reviews eight Kuaishou‑authored papers accepted at ICLR 2026, summarizing their problem statements, novel methods such as front‑door causal attribution, visual table retrieval, denoising rerankers, difficulty‑adaptive reasoning, diffusion code infilling, generative ordinal regression, multimodal video retrieval, e‑commerce dialogue benchmarks, and a new LLM creativity evaluator, together with reported experimental gains.

Artificial IntelligenceICLR 2026Kuaishou
0 likes · 19 min read
ICLR 2026: Kuaishou Tech Team’s Cutting‑Edge AI Research Highlights