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Fix ImportError: from allennlp.modules.conditional_random_field import allowed_transitions ImportError: cannot import name 'allowed_transitions' from 'allennlp.modules.conditional_random_field' Fixes #5695. Changes proposed in this pull request: - Fix ImportError of allowed_transitions ## Before submitting -...

Is this template suitable for current PhD thesis of Сравнительно-историческое, типологическое и сопоставительное языкознание (филол. науки)?

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Thank you so much for providing such a good template! Is this template suitable for current PhD thesis of Сравнительно-историческое, типологическое и сопоставительное языкознание (филол. науки)? I saw the Стандарт:...

"SPARQL request failed" when running "wdtaxonomy Q35120"

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I want to get the whole taxonomy of wikidata. Is there any other method I can use to achieve that goal?

Unable to reproduce the best result (F1: 0.58) on Weibo datasets?

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Hi, thank you so much for you elegant reproduction of batched version of Lattice LSTM. But I can't get the same results on Weibo Datasets, using the same emb\params\data. I...

Thank you for publicizing such impressive work! And can you public the **LWM-1K/8K** version of LWM, too?

Hi Muhao, I am very interested in your work "Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment". I see your code about the GRU part(learner_gru.py, gru_encoder.py),...

[Request]Consider integrating MMT-Bench and CONTEXTUAL?

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MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI https://arxiv.org/pdf/2404.16006 CONTEXTUAL: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models https://arxiv.org/pdf/2401.13311

Request for the implementation of "Autoregressive Image Generation without Vector Quantization"

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Just finished reading your new paper **Autoregressive Image Generation without Vector Quantization**, which is very INSPIRING!! Would you consider publicizing the code?

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models https://arxiv.org/pdf/2502.13059