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Qwen3-Coder-Next Technical Report research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Foundation models · Feb 28, 2026 · 95 citations · 66 upvotes · unverified

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What it shows

Qwen3-Coder-Next is an 80-billion-parameter language model that activates only 3 billion parameters during inference, achieving strong coding capabilities through agentic training with verifiable task synthesis and reinforcement learning.

By Ruisheng Cao, Mouxiang Chen, Jiawei Chen and 17 more · arXiv 2603.00729 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

More from Alibaba (Qwen)

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Agents and evaluationUnverifiedOct 26, 2026Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic ModelsCo-Design Bench evaluates how effectively coding agents update software applications based on user requests with text, images, and other media.Alibaba (Qwen)23 upvotesRead →Multimodal and roboticsUnverifiedOct 24, 2026Qwen-Image-PE: Learning Visual Design for Text-to-Image Prompt EnhancementQwen-Image-PE improves text-to-image prompts via two-stage training with caption-based reverse distillation and groupwise design rewards, scaling across data, model size, and information density.Alibaba (Qwen)23 upvotesRead →Multimodal and roboticsUnverifiedOct 23, 2026World-in-Context: Interactive Video World Modeling with In-Context ConditioningWorld-in-Context unifies view, action, and camera controls via explicit tokens and interaction-aware positional encoding to improve interactive video generation and navigation.Alibaba (Qwen)22 upvotesRead →Multimodal and roboticsUnverifiedOct 22, 2026Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research ReportsThis benchmark evaluates how well AI agents can research and synthesize information from videos to produce interactive reports.Alibaba (Qwen)19 upvotesRead →Agents and evaluationUnverifiedOct 22, 2026UserArena: Benchmarking Interactive User Simulation for Long-Horizon Shopping AgentsUserArena introduces a real-world interactive benchmark with long-horizon shopping trajectories and an evaluation framework, alongside On-Policy Trajectory Distillation to improve simulator fidelity for agentic recommendations.Alibaba (Qwen)55 upvotesRead →Inference and efficiencyUnverifiedOct 19, 2026SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolationThis training method uses a smaller, frozen model to guide the training of a larger diffusion model, improving quality without increasing inference costs.Alibaba (Qwen)30 upvotesRead →Multimodal and roboticsUnverifiedOct 14, 2026BlenderWorld: Benchmarking Visual Agents for 3D Creation from Real-World ReferencesThis benchmark evaluates how well AI models can perform complex 3D creation and editing tasks within the Blender software.Alibaba (Qwen)23 upvotesRead →Applied AIUnverifiedOct 14, 2026CommerceGen-Studio: An End-to-End Framework for Commercial-Grade Main-Image GenerationThis paper presents an end-to-end framework for generating commercial-grade e-commerce product images by combining metadata extraction, layout planning, and multi-condition generation.Alibaba (Qwen)25 upvotesRead →

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About this paper
Venue
arXiv.org
Citations
95, 9 influential · Semantic Scholar
Upvotes
66 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

CitationsNov 9, 2026Citations rose from 92 to 95.
CitationsNov 2, 2026Influential citations rose from 5 to 9.
CitationsNov 2, 2026Citations rose from 80 to 92.
CitationsOct 12, 2026Citations rose from 76 to 80.
CitationsOct 5, 2026Citations rose from 72 to 76.
CitationsSep 25, 2026A first count of 5 influential citations.
CitationsSep 25, 2026A first count of 72 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.