[2509.09722] Improving MLLM Historical Record Extraction with Test-Time Image
![[2509.09722] Improving MLLM Historical Record Extraction with Test-Time Image [2509.09722] Improving MLLM Historical Record Extraction with Test-Time Image](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
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arXiv:2509.09674v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have recently emerged as a powerful paradigm for robotic manipulation. Despite substantial ...
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A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
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[Submitted on 5 Feb 2025 (v1), last revised 11 Sep 2025 (this version, v2)] View a PDF of the paper ...
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Inversion Learning for Highly Effective NLG Evaluation Prompts
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[Submitted on 29 Apr 2025 (v1), last revised 10 Sep 2025 (this version, v3)] View a PDF of the paper ...
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A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents
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[Submitted on 20 Jun 2024 (v1), last revised 9 Sep 2025 (this version, v3)] Authors:Junjie Wang, Yuxiang Zhang, Minghao Liu, ...
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The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties
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arXiv:2509.07139v1 Announce Type: new Abstract: Recent improvements in multilingual ASR have not been equally distributed across languages and language varieties. ...
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LLMs Can be Good Tutors in English Education
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[Submitted on 8 Feb 2025 (v1), last revised 6 Sep 2025 (this version, v2)] Authors:Jingheng Ye, Shen Wang, Deqing Zou, ...
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A Scalable Approach Guided by Domain Expertise
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[Submitted on 17 Dec 2024 (v1), last revised 8 Sep 2025 (this version, v3)] Authors:Hanyin Wang, Chufan Gao, Qiping Xu, ...
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A High-Quality and Diverse Dataset for Classical Arabic to English Translation
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[Submitted on 29 Jul 2024 (v1), last revised 4 Sep 2025 (this version, v2)] View a PDF of the paper ...
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Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
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[Submitted on 1 Sep 2025 (v1), last revised 4 Sep 2025 (this version, v2)] View a PDF of the paper ...
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