| AfriHG: News headline generation for African Languages |
28 Dec 2024 |
dadelani/AfriHG/Multi-Lang-Rouge/tokenizers.py cf9ffa02a42184af |
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| MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization |
9 Dec 2024 |
aiming-lab/mmedpo/curation/Sample_Zero-Shot_Grounding_RSNA/models/tokenization_bert.py cf9ffa02a42184af |
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| VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation |
18 Nov 2024 |
JT-Sun/Filtering-WoRA/models/tokenization_bert.py cf9ffa02a42184af |
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| Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack |
4 Nov 2024 |
jiaxiaojunqaq/sa-aet/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution |
18 Sep 2024 |
MindCode-4/code-4/prophetnet/tokenization_prophetnet.py cf9ffa02a42184af |
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| One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models |
8 Jun 2024 |
ffhibnese/cpgc_vlp_universal_attacks/models/tokenization_bert.py cf9ffa02a42184af |
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| Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective |
30 Apr 2024 |
ellezwq/mmcoa/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification |
18 Dec 2023 |
elfenreigen/unichest/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Recursive Visual Programming |
4 Dec 2023 |
para-lost/rvp/base_models/tcl/tcl_tokenization_bert.py cf9ffa02a42184af |
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| Contrastive Grouping with Transformer for Referring Image Segmentation |
2 Sep 2023 |
toneyaya/cgformer/bert/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models |
26 Jul 2023 |
Zoky-2020/Set-level_Guidance_Attack/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks |
7 Jun 2023 |
x-plug/youku-mplug/models/tokenization_mplug.py cf9ffa02a42184af |
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| Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark |
5 Jun 2023 |
Shuyu-XJTU/APTM/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset |
29 May 2023 |
TXH-mercury/VALOR/model/bert_tokenizer.py da7295883cd7da14 |
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MIT (permissive) |
| RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search |
23 May 2023 |
Flame-Chasers/RaSa/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| MEGA: Multilingual Evaluation of Generative AI |
22 Mar 2023 |
microsoft/Multilingual-Evaluation-of-Generative-AI-MEGA/mega/compile_qa_results.py a5f7f44e35526909 |
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MIT (permissive) |
| Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation |
18 Mar 2023 |
mlii0117/dcl/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video |
1 Feb 2023 |
X-PLUG/mPLUG-2/models/tokenization_bert.py cf9ffa02a42184af |
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| Self-supervised vision-language pretraining for Medical visual question answering |
24 Nov 2022 |
pengfeiliheu/m2i2/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study |
19 Oct 2022 |
zjunlp/KnowPrompt/models/bert/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding |
11 Aug 2022 |
dzh19990407/ppmn/models/tokenization.py cf9ffa02a42184af |
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| IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training |
12 Jul 2022 |
xinyu1205/idea-pytorch/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness |
27 May 2022 |
google-research/long-range-arena/lra_benchmarks/matching/build_vocab.py fbeafd410f521a6f |
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| PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models |
23 May 2022 |
thunlp/PEVL/models/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Open Vocabulary Object Detection with Pseudo Bounding-Box Labels |
18 Nov 2021 |
salesforce/pb-ovd/ALBEF/models/tokenization_bert.py cf9ffa02a42184af |
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BSD-3-Clause (permissive) |
| Phrase Retrieval Learns Passage Retrieval, Too |
16 Sep 2021 |
princeton-nlp/DensePhrases/densephrases/utils/data_utils.py cf9ffa02a42184af |
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| WebQA: Multihop and Multimodal QA |
1 Sep 2021 |
shubham-gupta-iitr/mmmlX/pytorch_pretrained_bert/tokenization.py da7295883cd7da14 |
unverified |
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| BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents |
10 Aug 2021 |
clovaai/bros/bros/tokenization_bros.py cf9ffa02a42184af |
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Apache-2.0 (permissive) |
| CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark |
15 Jun 2021 |
cbluebenchmark/cblue/cblue/models/zen/tokenization.py cf9ffa02a42184af |
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| B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval |
20 Apr 2021 |
Albert-Ma/PROP/pytorch_pretrain_bert/tokenization.py cf9ffa02a42184af |
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| Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering |
15 Apr 2021 |
clovaai/minimal-rnr-qa/playground/workspace/minimal_rnr/tfserving/bert_tokenizer/tokenization_bert.py cf9ffa02a42184af |
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| Improving BERT Performance for Aspect-Based Sentiment Analysis |
22 Oct 2020 |
IMPLabUniPr/BERT-for-ABSA/src/tokenization.py cf9ffa02a42184af |
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| Incorporating BERT into Parallel Sequence Decoding with Adapters |
13 Oct 2020 |
lemmonation/abnet/bert/tokenization.py cf9ffa02a42184af |
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MIT (permissive) |
| The Lottery Ticket Hypothesis for Pre-trained BERT Networks |
23 Jul 2020 |
TAMU-VITA/BERT-Tickets/transformers-master/src/transformers/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines |
8 Jun 2020 |
uds-lsv/bert-stable-fine-tuning/src/transformers/tokenization_bert.py cf9ffa02a42184af |
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| Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order |
24 Apr 2020 |
identical code first harvested elsewhere cf9ffa02a42184af |
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| MPNet: Masked and Permuted Pre-training for Language Understanding |
20 Apr 2020 |
michael-wzhu/mpnet_zh/src/tokenization_bert.py cf9ffa02a42184af |
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| The Right Tool for the Job: Matching Model and Instance Complexities |
16 Apr 2020 |
allenai/sledgehammer/allennlp_overrides/pytorch_pretrained_bert/tokenization.py cf9ffa02a42184af |
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| MLQA: Evaluating Cross-lingual Extractive Question Answering |
16 Oct 2019 |
facebookresearch/MLQA/mlqa_evaluation_v1.py a5f7f44e35526909 |
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| ALBERT: A Lite BERT for Self-supervised Learning of Language Representations |
26 Sep 2019 |
Soikonomou/bert_new/src/model/BERT/tokenization_bert.py cf9ffa02a42184af |
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| Open Sesame: Getting Inside BERT's Linguistic Knowledge |
4 Jun 2019 |
yongjie-lin/bert-opensesame/pytorch_pretrained_bert/tokenization.py da7295883cd7da14 |
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| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
11 Oct 2018 |
lonePatient/Bert-Multi-Label-Text-Classification/pybert/model/albert/tokenization_bert.py cf9ffa02a42184af |
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MIT (permissive) |
| Convolutional Neural Networks for Sentence Classification |
25 Aug 2014 |
yschoi-nisp/AI-Grand-Challenge-2020/pytorch_pretrained_bert/tokenization.py da7295883cd7da14 |
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MIT (permissive) |
| arXiv:aaai_32468 |
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airsplay/LXMERT/src/lxrt/tokenization.py cf9ffa02a42184af |
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| arXiv:aaai_27969 |
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TianyuGoGO/XPNG/models/tokenization.py cf9ffa02a42184af |
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| arXiv:2023.emnlp-main.803 |
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yisunlp/Anti-CF/utils/mlqa_evaluate.py a5f7f44e35526909 |
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MIT (permissive) |
| arXiv:2021.findings-acl.216 |
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destwang/DCN/transformers/tokenization_dcn.py cf9ffa02a42184af |
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| arXiv:2021.emnlp-main.518 |
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hyounghk/NDH-FULL/tasks/NDH_full/tokenization.py cf9ffa02a42184af |
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MIT (permissive) |
| arXiv:2021.acl-long.48 |
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PluviophileYU/COSY/XQA/src/mlqa_evaluation_v1.py a5f7f44e35526909 |
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MIT (permissive) |