Raphael Tang
Orcid: 0009-0007-2873-892X
According to our database1,
Raphael Tang
authored at least 51 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language.
CoRR, 2024
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture.
CoRR, 2024
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.
CoRR, 2023
What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations.
CoRR, 2023
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models.
CoRR, 2023
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
"Low-Resource" Text Classification: A Parameter-Free Classification Method with Compressors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers.
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.
Proceedings of the First Workshop on Scholarly Document Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks.
CoRR, 2019
Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019
2018
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks.
CoRR, 2018
CoRR, 2018
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis.
CoRR, 2018
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting.
CoRR, 2017