Raphael Tang

Orcid: 0009-0007-2873-892X

According to our database1, Raphael Tang authored at least 51 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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

"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time.
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

Understanding Retrieval Robustness for Retrieval-augmented Image Captioning.
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

What the DAAM: Interpreting Stable Diffusion Using Cross Attention.
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
Less is More: Parameter-Free Text Classification with Gzip.
CoRR, 2022

What the DAAM: Interpreting Stable Diffusion Using Cross Attention.
CoRR, 2022

Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers.
CoRR, 2022

Temporal Early Exiting for Streaming Speech Commands Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021
Voice Query Auto Completion.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks.
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
Inserting Information Bottlenecks for Attribution in Transformers.
CoRR, 2020

Howl: A Deployed, Open-Source Wake Word Detection System.
CoRR, 2020

Rapidly Bootstrapping a Question Answering Dataset for COVID-19.
CoRR, 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

Inserting Information Bottleneck for Attribution in Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Showing Your Work Doesn't Always Work.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning.
CoRR, 2019

Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks.
CoRR, 2019

DocBERT: BERT for Document Classification.
CoRR, 2019

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks.
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

Rethinking Complex Neural Network Architectures for Document Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Universal voice-enabled user interfaces using JavaScript.
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

Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Natural Language Generation for Effective Knowledge Distillation.
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

FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks.
CoRR, 2018

Progress and Tradeoffs in Neural Language Models.
CoRR, 2018

JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis.
CoRR, 2018

Adaptive Pruning of Neural Language Models for Mobile Devices.
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

Deep Residual Learning for Small-Footprint Keyword Spotting.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting.
CoRR, 2017


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