{"list":"other","total":53,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"1910.13461","title":"BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension","created":"2019-10-29","cited_by_count":5893},{"id":"1901.08746","title":"BioBERT: a pre-trained biomedical language representation model for biomedical text mining","created":"2019-01-25","cited_by_count":1947},{"id":"2004.10964","title":"Don't Stop Pretraining: Adapt Language Models to Domains and Tasks","created":"2020-04-23","cited_by_count":1565},{"id":"1903.10676","title":"SciBERT: A Pretrained Language Model for Scientific Text","created":"2019-03-26","cited_by_count":1414},{"id":"1704.04368","title":"Get To The Point: Summarization with Pointer-Generator Networks","created":"2017-04-14","cited_by_count":1292},{"id":"1904.03323","title":"Publicly Available Clinical BERT Embeddings","created":"2019-04-06","cited_by_count":1002},{"id":"1905.03197","title":"Unified Language Model Pre-training for Natural Language Understanding and Generation","created":"2019-05-08","cited_by_count":670},{"id":"1905.12616","title":"Defending Against Neural Fake News","created":"2019-05-29","cited_by_count":559},{"id":"2210.10341","title":"BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining","created":"2022-10-19","cited_by_count":538},{"id":"1910.09700","title":"Quantifying the Carbon Emissions of Machine Learning","created":"2019-10-21","cited_by_count":521},{"id":"1904.05342","title":"ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission","created":"2019-04-10","cited_by_count":493},{"id":"2010.12421","title":"TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification","created":"2020-10-23","cited_by_count":417},{"id":"2005.10200","title":"BERTweet: A pre-trained language model for English Tweets","created":"2020-05-20","cited_by_count":346},{"id":"2010.09885","title":"ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction","created":"2020-10-19","cited_by_count":337},{"id":"2010.12472","title":"HateBERT: Retraining BERT for Abusive Language Detection in English","created":"2020-10-23","cited_by_count":207},{"id":"2002.12804","title":"UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training","created":"2020-02-28","cited_by_count":204},{"id":"1907.12461","title":"Leveraging Pre-trained Checkpoints for Sequence Generation Tasks","created":"2019-07-29","cited_by_count":182},{"id":"1704.06879","title":"Deep Keyphrase Generation","created":"2017-04-23","cited_by_count":102},{"id":"2108.12724","title":"DEGREE: A Data-Efficient Generation-Based Event Extraction Model","created":"2021-08-29","cited_by_count":83},{"id":"2109.15290","title":"MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction","created":"2021-09-30","cited_by_count":83},{"id":"2010.06060","title":"BioMegatron: Larger Biomedical Domain Language Model","created":"2020-10-12","cited_by_count":76},{"id":"1801.04470","title":"Simple Unsupervised Keyphrase Extraction using Sentence Embeddings","created":"2018-01-13","cited_by_count":62},{"id":"1810.05241","title":"One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases","created":"2018-10-11","cited_by_count":52},{"id":"1803.08721","title":"Unsupervised Keyphrase Extraction with Multipartite Graphs","created":"2018-03-23","cited_by_count":50},{"id":"1808.07185","title":"Keyphrase Generation with Correlation Constraints","created":"2018-08-22","cited_by_count":45},{"id":"1906.04106","title":"Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards","created":"2019-06-10","cited_by_count":41},{"id":"2105.11134","title":"One2Set: Generating Diverse Keyphrases as a Set","created":"2021-05-24","cited_by_count":41},{"id":"2004.08511","title":"Exclusive Hierarchical Decoding for Deep Keyphrase Generation","created":"2020-04-18","cited_by_count":38},{"id":"1808.06773","title":"Semi-Supervised Learning for Neural Keyphrase Generation","created":"2018-08-21","cited_by_count":36},{"id":"1808.08575","title":"Title-Guided Encoding for Keyphrase Generation","created":"2018-08-26","cited_by_count":36},{"id":"2102.08220","title":"Non-Autoregressive Text Generation with Pre-trained Language Models","created":"2021-02-16","cited_by_count":36},{"id":"2112.08547","title":"Learning Rich Representation of Keyphrases from Text","created":"2021-12-16","cited_by_count":36},{"id":"1904.03454","title":"An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction","created":"2019-04-06","cited_by_count":28},{"id":"2009.10229","title":"An Empirical Study on Neural Keyphrase Generation","created":"2020-09-22","cited_by_count":25},{"id":"1708.06075","title":"Scientific Information Extraction with Semi-supervised Neural Tagging","created":"2017-08-21","cited_by_count":24},{"id":"2008.01739","title":"Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention","created":"2020-08-04","cited_by_count":24},{"id":"2106.14726","title":"Keyphrase Generation for Scientific Document Retrieval","created":"2021-06-28","cited_by_count":23},{"id":"2004.11131","title":"Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies","created":"2020-04-23","cited_by_count":22},{"id":"2109.07293","title":"Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context","created":"2021-09-15","cited_by_count":17},{"id":"2110.09749","title":"Importance Estimation from Multiple Perspectives for Keyphrase Extraction","created":"2021-10-19","cited_by_count":16},{"id":"2205.10471","title":"Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training","created":"2022-05-21","cited_by_count":16},{"id":"2106.04847","title":"UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction","created":"2021-06-09","cited_by_count":15},{"id":"1910.08840","title":"Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings","created":"2019-10-19","cited_by_count":14},{"id":"2203.08118","title":"Representation Learning for Resource-Constrained Keyphrase Generation","created":"2022-03-15","cited_by_count":14},{"id":"2004.10462","title":"Keyphrase Prediction With Pre-trained Language Model","created":"2020-04-22","cited_by_count":13},{"id":"2104.08799","title":"Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning","created":"2021-04-18","cited_by_count":13},{"id":"2103.12440","title":"Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness","created":"2021-03-23","cited_by_count":11},{"id":"2310.06374","title":"Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models","created":"2023-10-10","cited_by_count":8},{"id":"2208.09606","title":"General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation","created":"2022-08-20","cited_by_count":5}],"next_cursor":null}