{"url":"/ran/2","feed":"ran","feed_label":"Code that ran","page":2,"n_pages":10,"per_stream_per_page":15,"claim":"Per-sample execution status on synthesized fixtures; 'ran' is not a correctness claim about the paper.","sample_gap":{"source":"syntology-graph","read_at":"2026-09-24T18:15:14+00:00","samples":294260,"samples_ran":127244,"samples_unverified":167016,"papers_harvested":51887,"papers_ran":38943,"papers_harvested_nothing_ran":12944,"sample":"one function or class; identical code under several papers counted once"},"streams":{"post_freeze":{"source":"syntology-graph","read_at":"2026-09-24T18:15:14+00:00","order":"arXiv id descending","dates":"arXiv's metadata (CC0) where held; otherwise month_from_arxiv_id","n_with_arxiv_metadata":5105,"first":16,"last":30,"total":5105,"n_in_feed":150,"excluded":{"no_yymm_arxiv_id":0},"cards":[{"kind":"post","source":"syntology-graph","title":"Hardware-Aware FP4 FlashAttention-4","url":"/paper/arxiv-2609-04105","arxiv_id":"2609.04105","date":"2026-09-03","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/MrHuff/fp4-fa4","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":22,"n_ran":1,"n_unverified":21,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation","url":"/paper/arxiv-2609-03756","arxiv_id":"2609.03756","date":"2026-09-03","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/speridlabs/eneas","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":11,"n_ran":4,"n_unverified":7,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Fill My Mirror: Geometry-Constrained Mirror Inpainting","url":"/paper/arxiv-2609-03740","arxiv_id":"2609.03740","date":"2026-09-03","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/OfekBasson/Fill-My-Mirror","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":6,"n_ran":1,"n_unverified":5,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language","url":"/paper/arxiv-2609-03677","arxiv_id":"2609.03677","date":"2026-09-03","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/KIT-MRT/AD-Diff","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":7,"n_ran":2,"n_unverified":5,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style Updates","url":"/paper/arxiv-2609-02734","arxiv_id":"2609.02734","date":"2026-09-02","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/brain-lab-research/LoRA-TSD","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":10,"n_ran":1,"n_unverified":9,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Learning to Attract and Repel: Dual Quality Margin Learning for Face Recognition (DQM-Face)","url":"/paper/arxiv-2609-02644","arxiv_id":"2609.02644","date":"2026-09-02","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/RAIB-group/DQM-Face","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":11,"n_ran":3,"n_unverified":8,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":11}},{"kind":"post","source":"syntology-graph","title":"Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs","url":"/paper/arxiv-2609-02548","arxiv_id":"2609.02548","date":"2026-09-02","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/hexixiang/MT-SDPO","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":16,"n_ran":5,"n_unverified":11,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Rethinking the Teacher-Student Framework for Test-Time Adaptation","url":"/paper/arxiv-2609-02507","arxiv_id":"2609.02507","date":"2026-09-02","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/dmn-sjk/intransigent_teacher","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":17,"n_ran":5,"n_unverified":12,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":17}},{"kind":"post","source":"syntology-graph","title":"TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval","url":"/paper/arxiv-2609-02204","arxiv_id":"2609.02204","date":"2026-09-02","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/sejong-rcv/TAME","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":"IEEE Access 14 (2026) 16188-16203","syntology":{"n_samples":24,"n_ran":9,"n_unverified":15,"n_ran_honours":2,"n_ran_violates":1,"n_pointer_only_for_licence":24}},{"kind":"post","source":"syntology-graph","title":"Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods","url":"/paper/arxiv-2609-01888","arxiv_id":"2609.01888","date":"2026-09-01","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/mehrdadfazli/AssessHalVLM","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":16,"n_ran":2,"n_unverified":14,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":16}},{"kind":"post","source":"syntology-graph","title":"Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks","url":"/paper/arxiv-2609-01558","arxiv_id":"2609.01558","date":"2026-09-01","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/JingXiao10/GUA","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":9,"n_ran":1,"n_unverified":8,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications","url":"/paper/arxiv-2609-01427","arxiv_id":"2609.01427","date":"2026-09-01","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/BioMedTP/pix2rep-v2","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":6,"n_ran":1,"n_unverified":5,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents","url":"/paper/arxiv-2609-01245","arxiv_id":"2609.01245","date":"2026-09-01","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/AlibabaResearch/SignalCoverageRL","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":16,"n_ran":5,"n_unverified":11,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"post","source":"syntology-graph","title":"Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement","url":"/paper/arxiv-2609-01148","arxiv_id":"2609.01148","date":"2026-09-01","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/DragonisCV/EyeControl","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":19,"n_ran":2,"n_unverified":17,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":19}},{"kind":"post","source":"syntology-graph","title":"Revisiting Face Recognition for Monozygotic Twins: The Celeb Twins Test Set","url":"/paper/arxiv-2609-01141","arxiv_id":"2609.01141","date":"2026-09-01","month_from_arxiv_id":null,"title_date_abstract_source":"arXiv metadata, CC0 1.0","repo_url":"https://github.com/mzang20/CTTS","n_repos":1,"official":false,"framework":null,"tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":13,"n_ran":2,"n_unverified":11,"n_ran_honours":1,"n_ran_violates":0,"n_pointer_only_for_licence":0}}]},"archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","filter":"repository link and at least one Syntology-ran sample","order":"archive date descending; an undated row is placed by its arXiv-id month after that month's dated rows","first":16,"last":30,"total":31700,"n_in_feed":150,"n_placed_by_arxiv_id_month":819,"n_dated_after_snapshot":0,"max_archive_date":"2025-07-17","excluded":{"no_date_no_arxiv_id":1,"code_link_without_paper_row":1},"cards":[{"kind":"archive","source":"pwc-archive","title":"Scaling RL to Long Videos","url":"/paper/scaling-rl-to-long-videos","arxiv_id":"2507.07966","date":"2025-07-10","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/hiyouga/easyr1","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"reinforcement-learning-1","name":"Reinforcement Learning (RL)","url":"/task/reinforcement-learning-1"},{"slug":"spatial-reasoning","name":"Spatial Reasoning","url":"/task/spatial-reasoning"},{"slug":"video-generation","name":"Video Generation","url":"/task/video-generation"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":24,"n_ran":8,"n_unverified":16,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":0}},{"kind":"archive","source":"pwc-archive","title":"Towards Interpretable Time Series Foundation Models","url":"/paper/towards-interpretable-time-series-foundation","arxiv_id":"2507.07439","date":"2025-07-10","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/svitlana-outsampler/ITS_ICML2025","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"time-series-1","name":"Time Series","url":"/task/time-series-1"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":1,"n_ran":1,"n_unverified":0,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"archive","source":"pwc-archive","title":"Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery","url":"/paper/open-source-planning-control-system-with","arxiv_id":"2507.07257","date":"2025-07-09","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/cmbagents/cmbagent","n_repos":1,"official":true,"framework":null,"tasks":[{"slug":"language-modeling","name":"Language Modeling","url":"/task/language-modeling"},{"slug":"language-modelling","name":"Language Modelling","url":"/task/language-modelling"},{"slug":"large-language-model","name":"Large Language Model","url":"/task/large-language-model"},{"slug":"scientific-discovery","name":"scientific discovery","url":"/task/scientific-discovery"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":2,"n_ran":1,"n_unverified":1,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"archive","source":"pwc-archive","title":"Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts","url":"/paper/addressing-imbalanced-domain-incremental","arxiv_id":"2507.07100","date":"2025-07-09","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/lain810/dce","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"continual-learning","name":"Continual Learning","url":"/task/continual-learning"},{"slug":"incremental-learning","name":"Incremental Learning","url":"/task/incremental-learning"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":11,"n_ran":4,"n_unverified":7,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":11}},{"kind":"archive","source":"pwc-archive","title":"SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers","url":"/paper/spindlekv-a-novel-kv-cache-reduction-method","arxiv_id":"2507.06517","date":"2025-07-09","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/tyxqc/spindlekv","n_repos":1,"official":true,"framework":"pytorch","tasks":[],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":9,"n_ran":7,"n_unverified":2,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"archive","source":"pwc-archive","title":"Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving","url":"/paper/agent-kb-leveraging-cross-domain-experience","arxiv_id":"2507.06229","date":"2025-07-08","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/oppo-personalai/agent-kb","n_repos":1,"official":true,"framework":null,"tasks":[{"slug":"code-repair","name":"Code Repair","url":"/task/code-repair"},{"slug":"transfer-learning","name":"Transfer Learning","url":"/task/transfer-learning"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":1,"n_ran":1,"n_unverified":0,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"archive","source":"pwc-archive","title":"Differential Mamba","url":"/paper/differential-mamba","arxiv_id":"2507.06204","date":"2025-07-08","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/nadavsc/diff-mamba","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"language-modeling","name":"Language Modeling","url":"/task/language-modeling"},{"slug":"language-modelling","name":"Language Modelling","url":"/task/language-modelling"},{"slug":"mamba","name":"Mamba","url":"/task/mamba"},{"slug":"retrieval","name":"Retrieval","url":"/task/retrieval"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":2,"n_ran":2,"n_unverified":0,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":0}},{"kind":"archive","source":"pwc-archive","title":"Skywork-R1V3 Technical Report","url":"/paper/skywork-r1v3-technical-report","arxiv_id":"2507.06167","date":"2025-07-08","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/SkyworkAI/Skywork-R1V","n_repos":2,"official":true,"framework":"pytorch","tasks":[{"slug":"mathematical-reasoning","name":"Mathematical Reasoning","url":"/task/mathematical-reasoning"},{"slug":"multimodal-reasoning","name":"Multimodal Reasoning","url":"/task/multimodal-reasoning"},{"slug":"visual-reasoning","name":"Visual Reasoning","url":"/task/visual-reasoning"},{"slug":"cross-modal-alignment","name":"cross-modal alignment","url":"/task/cross-modal-alignment"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":12,"n_ran":3,"n_unverified":9,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":12}},{"kind":"archive","source":"pwc-archive","title":"Omni-Video: Democratizing Unified Video Understanding and Generation","url":"/paper/omni-video-democratizing-unified-video","arxiv_id":"2507.06119","date":"2025-07-08","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/sais-fuxi/omni-video","n_repos":1,"official":true,"framework":null,"tasks":[{"slug":"video-generation","name":"Video Generation","url":"/task/video-generation"},{"slug":"video-understanding","name":"Video Understanding","url":"/task/video-understanding"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":18,"n_ran":3,"n_unverified":15,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":18}},{"kind":"archive","source":"pwc-archive","title":"GTA1: GUI Test-time Scaling Agent","url":"/paper/gta1-gui-test-time-scaling-agent","arxiv_id":"2507.05791","date":"2025-07-08","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/yan98/gta1","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"reinforcement-learning-1","name":"Reinforcement Learning (RL)","url":"/task/reinforcement-learning-1"},{"slug":"task-planning","name":"Task Planning","url":"/task/task-planning"},{"slug":"visual-grounding","name":"Visual Grounding","url":"/task/visual-grounding"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":3,"n_ran":3,"n_unverified":0,"n_ran_honours":3,"n_ran_violates":0,"n_pointer_only_for_licence":3}},{"kind":"archive","source":"pwc-archive","title":"pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models","url":"/paper/pfedmma-personalized-federated-fine-tuning","arxiv_id":"2507.05394","date":"2025-07-07","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/sajjad-ucsb/pfedmma","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"federated-learning","name":"Federated Learning","url":"/task/federated-learning"},{"slug":"personalized-federated-learning","name":"Personalized Federated Learning","url":"/task/personalized-federated-learning"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":11,"n_ran":1,"n_unverified":10,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":11}},{"kind":"archive","source":"pwc-archive","title":"Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration","url":"/paper/reviving-cultural-heritage-a-novel-approach","arxiv_id":"2507.05108","date":"2025-07-07","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/yeungchenwa/hdr","n_repos":1,"official":false,"framework":"pytorch","tasks":[{"slug":"optical-character-recognition","name":"Optical Character Recognition (OCR)","url":"/task/optical-character-recognition"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":17,"n_ran":3,"n_unverified":14,"n_ran_honours":1,"n_ran_violates":0,"n_pointer_only_for_licence":17}},{"kind":"archive","source":"pwc-archive","title":"any4: Learned 4-bit Numeric Representation for LLMs","url":"/paper/any4-learned-4-bit-numeric-representation-for","arxiv_id":"2507.04610","date":"2025-07-07","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/facebookresearch/any4","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"gsm8k","name":"GSM8K","url":"/task/gsm8k"},{"slug":"humaneval","name":"HumanEval","url":"/task/humaneval"},{"slug":"mmlu","name":"MMLU","url":"/task/mmlu"},{"slug":"quantization","name":"Quantization","url":"/task/quantization"}],"n_task_tags_without_task_page":2,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":2,"n_ran":2,"n_unverified":0,"n_ran_honours":1,"n_ran_violates":0,"n_pointer_only_for_licence":2}},{"kind":"archive","source":"pwc-archive","title":"FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection","url":"/paper/fa-forced-prompt-learning-of-vision-language","arxiv_id":"2507.04511","date":"2025-07-06","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/0xfafa/fa","n_repos":1,"official":true,"framework":"pytorch","tasks":[{"slug":"ood-detection","name":"Out of Distribution (OOD) Detection","url":"/task/ood-detection"},{"slug":"out-of-distribution-detection","name":"Out-of-Distribution Detection","url":"/task/out-of-distribution-detection"},{"slug":"prompt-learning","name":"Prompt Learning","url":"/task/prompt-learning"},{"slug":"semantic-similarity","name":"Semantic Similarity","url":"/task/semantic-similarity"},{"slug":"semantic-textual-similarity","name":"Semantic Textual Similarity","url":"/task/semantic-textual-similarity"}],"n_task_tags_without_task_page":0,"ranked_on":[],"n_ranked_on":0,"venue":null,"syntology":{"n_samples":9,"n_ran":3,"n_unverified":6,"n_ran_honours":0,"n_ran_violates":0,"n_pointer_only_for_licence":9}},{"kind":"archive","source":"pwc-archive","title":"DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge","url":"/paper/dreamvla-a-vision-language-action-model-1","arxiv_id":"2507.04447","date":"2025-07-06","month_from_arxiv_id":null,"title_date_abstract_source":null,"repo_url":"https://github.com/Zhangwenyao1/DreamVLA","n_repos":1,"official":true,"framework":null,"tasks":[{"slug":"image-generation","name":"Image Generation","url":"/task/image-generation"},{"slug":"multimodal-reasoning","name":"Multimodal Reasoning","url":"/task/multimodal-reasoning"},{"slug":"robot-manipulation","name":"Robot Manipulation","url":"/task/robot-manipulation"},{"slug":"vision-language-action","name":"Vision-Language-Action","url":"/task/vision-language-action"},{"slug":"world-knowledge","name":"World Knowledge","url":"/task/world-knowledge"}],"n_task_tags_without_task_page":0,"ranked_on":[{"leaderboard":"/sota/robot-manipulation-on-calvin","task":"Robot Manipulation","dataset":"CALVIN"}],"n_ranked_on":1,"venue":null,"syntology":{"n_samples":3,"n_ran":2,"n_unverified":1,"n_ran_honours":0,"n_ran_violates":1,"n_pointer_only_for_licence":3}}]}}}