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Kuaishou Large Model

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Latest from Kuaishou Large Model

54 recent articles
Kuaishou Large Model
Kuaishou Large Model
Oct 31, 2025 · Artificial Intelligence

EMER: End-to-End Multi-Objective Ranking That Transforms Short-Video Recommendations

EMER, Kuaishou’s end‑to‑end multi‑objective ensemble ranking framework, replaces handcrafted scoring formulas with a transformer‑based model that learns comparative preferences, integrates normalized rank features, optimizes relative satisfaction and multi‑dimensional proxy metrics, and dynamically balances objectives via a self‑evolving advantage evaluator, delivering significant online gains.

Recommendation SystemsTransformermachine learning
0 likes · 17 min read
EMER: End-to-End Multi-Objective Ranking That Transforms Short-Video Recommendations
Kuaishou Large Model
Kuaishou Large Model
Oct 11, 2025 · Artificial Intelligence

How Large-Scale Reinforcement Learning Boosted KAT-Dev-72B-Exp to 74.6% on SWE‑Bench

The KwaiPilot team introduced KAT-Dev-72B-Exp, an open‑source LLM trained with large‑scale reinforcement learning that achieved a record‑breaking 74.6% score on SWE‑Bench Verified, thanks to innovations like Trie Packing, entropy‑aware advantage scaling, and a decoupled data‑environment architecture.

KAT-Dev-72B-ExpTrie Packingentropy scaling
0 likes · 6 min read
How Large-Scale Reinforcement Learning Boosted KAT-Dev-72B-Exp to 74.6% on SWE‑Bench
Kuaishou Large Model
Kuaishou Large Model
Sep 24, 2025 · Artificial Intelligence

How Generative Reinforcement Learning is Revolutionizing Real-Time Bidding

The article explains the core challenges of real‑time bidding, reviews Kuaishou's evolution from PID to MPC to reinforcement learning, and introduces generative reinforcement‑learning methods (GAVE and CBD) that combine decision transformers or diffusion models with value‑guided exploration and score‑based RTG, achieving significant offline and online performance gains.

Diffusion Modelsadvertising algorithmsgenerative reinforcement learning
0 likes · 15 min read
How Generative Reinforcement Learning is Revolutionizing Real-Time Bidding
Kuaishou Large Model
Kuaishou Large Model
Sep 8, 2025 · Artificial Intelligence

Keye-VL-1.5-8B: The New Multimodal LLM That Beats GPT-4o on Vision Benchmarks

Kwai's newly released Keye-VL-1.5-8B multimodal large language model dramatically improves visual, reasoning, and temporal understanding, achieving top scores on public video benchmarks and surpassing closed‑source models like GPT‑4o, while offering an open‑source release and detailed technical documentation.

Vision-Languagebenchmark performancemultimodal LLM
0 likes · 11 min read
Keye-VL-1.5-8B: The New Multimodal LLM That Beats GPT-4o on Vision Benchmarks
Kuaishou Large Model
Kuaishou Large Model
Aug 19, 2025 · Artificial Intelligence

How Klear-Reasoner Achieves SOTA Math & Code Reasoning with GPPO

Klear-Reasoner, built on Qwen3‑8B‑Base, introduces the Gradient‑Preserving Clipping Policy Optimization (GPPO) algorithm to overcome traditional clip limitations, achieving state‑of‑the‑art performance on AIME2024/2025 and LiveCodeBench while providing detailed experimental analysis and data‑quality insights.

GPPOcode reasoninggradient clipping
0 likes · 11 min read
How Klear-Reasoner Achieves SOTA Math & Code Reasoning with GPPO
Kuaishou Large Model
Kuaishou Large Model
Jul 11, 2025 · Artificial Intelligence

How MODA’s Modular Duplex Attention Boosts Multimodal Emotion Understanding

The paper introduces MODA, a new multimodal model that tackles attention imbalance across modalities with a modular duplex attention mechanism, achieving significant performance gains on perception, cognition, and emotion tasks across 21 benchmarks and demonstrating strong potential for human‑machine interaction.

Attention MechanismsMODA modeldeep learning
0 likes · 13 min read
How MODA’s Modular Duplex Attention Boosts Multimodal Emotion Understanding
Kuaishou Large Model
Kuaishou Large Model
Jul 3, 2025 · Artificial Intelligence

How EvoSearch Boosts Image & Video Generation with Test‑Time Evolutionary Search

The EvoSearch method introduced by HKUST and Kuaishou’s KuaLing team leverages test‑time scaling to dramatically improve diffusion‑based image and video generation without training, using evolutionary search along the denoising trajectory, achieving state‑of‑the‑art results on SD2.1, Flux‑1‑dev and other models.

Diffusion ModelsImage GenerationVideo Generation
0 likes · 8 min read
How EvoSearch Boosts Image & Video Generation with Test‑Time Evolutionary Search
Kuaishou Large Model
Kuaishou Large Model
Jun 20, 2025 · Artificial Intelligence

How OneRec Revolutionizes Short-Video Recommendations with End-to-End Generative AI

OneRec, an end-to-end generative recommendation system from Kuaishou, uses an encoder-decoder architecture, reward-based preference alignment, and reinforcement learning to dramatically improve video recommendation efficiency, boosting user engagement and reducing operational costs while achieving scaling-law performance comparable to large language models.

Generative AIKuaishouefficiency
0 likes · 18 min read
How OneRec Revolutionizes Short-Video Recommendations with End-to-End Generative AI
Kuaishou Large Model
Kuaishou Large Model
Jun 11, 2025 · Artificial Intelligence

12 Kuaishou Breakthrough Papers at CVPR 2025: Video Generation, Diffusion & Multimodal AI

CVPR 2025 in Nashville will feature 12 Kuaishou papers spanning large‑scale video datasets, quality assessment, 3D/4D reconstruction, controllable generation, diffusion scaling laws, multimodal simulation, and novel benchmarks, highlighting the company's cutting‑edge contributions to video AI research.

Diffusion Modelslarge-scale datasets
0 likes · 21 min read
12 Kuaishou Breakthrough Papers at CVPR 2025: Video Generation, Diffusion & Multimodal AI
Kuaishou Large Model
Kuaishou Large Model
Jun 5, 2025 · Artificial Intelligence

7 Kuaishou Papers Accepted at ACL 2025 Reveal Cutting‑Edge AI Advances

Kuaishou's foundational large‑model team secured seven papers at the prestigious ACL 2025 conference, covering alignment bias during model training, safety in inference, decoding strategies, fine‑grained video‑temporal understanding, and new evaluation benchmarks that push the frontier of multimodal large language models.

ACL 2025benchmarklarge language models
0 likes · 16 min read
7 Kuaishou Papers Accepted at ACL 2025 Reveal Cutting‑Edge AI Advances