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Qwen3-VL Technical Report research paper by Alibaba (Qwen), 2025

Alibaba (Qwen) · Foundation models · Nov 26, 2025 · 3,178 citations · 164 upvotes · unverified

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What it shows

Qwen3-VL, a vision-language model, excels in text and multimodal understanding through advanced architectures and larger contexts, achieving superior performance across benchmarks.

By Shuai Bai, Yuxuan Cai, Ruizhe Chen and 61 more · arXiv 2511.21631 · PDF · Code

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

More from Alibaba (Qwen)

All 78
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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Foundation modelsOct 11, 2018BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingPre-training a Transformer to fill in masked words, then fine-tuning it, beat task-specific models across language understanding tests.Google125k citations33 upvotesRead →Foundation modelsMay 28, 2020Language Models are Few-Shot LearnersGPT-3, a 175B-parameter model, does new tasks from a few examples in the prompt, with no fine-tuning.OpenAI66.4k citations21 upvotesRead →Foundation modelsMar 15, 2023GPT-4 Technical ReportA multimodal model that passes a simulated bar exam with a score around the top 10% of test takers.OpenAI28.4k citations7 upvotesRead →Foundation modelsFeb 27, 2023LLaMA: Open and Efficient Foundation Language ModelsOpen models from 7B to 65B trained only on public data; the 13B model beats GPT-3 on most benchmarks.Meta22.6k citations25 upvotesRead →Foundation modelsJul 31, 2024The Llama 3 Herd of ModelsOpen models up to 405B parameters that match leading closed models on many tasks.Meta20.8k citations119 upvotesRead →Foundation modelsMar 8, 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextRecalls details across millions of tokens of text, hours of video and days of audio.Google DeepMind4,190 citations65 upvotesRead →
About this paper
Venue
arXiv.org
Citations
3,178, 659 influential · Semantic Scholar
Upvotes
164 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

CitationsNov 9, 2026Influential citations rose from 632 to 659.
CitationsNov 9, 2026Citations rose from 3,066 to 3,178.
CitationsNov 2, 2026Influential citations rose from 558 to 632.
CitationsNov 2, 2026Citations rose from 2,685 to 3,066.
CitationsOct 12, 2026Influential citations rose from 518 to 558.
CitationsOct 12, 2026Citations rose from 2,537 to 2,685.
CitationsOct 5, 2026Influential citations rose from 473 to 518.
CitationsOct 5, 2026Citations rose from 2,321 to 2,537.
CitationsSep 28, 2026Influential citations rose from 470 to 473.
CitationsSep 28, 2026Citations rose from 2,299 to 2,321.
CitationsSep 25, 2026A first count of 470 influential citations.
CitationsSep 25, 2026A first count of 2,299 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.