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Conference and Workshop Papers
- 2024
[c27]Wenyan Li, Jiaang Li, Rita Ramos, Raphael Tang, Desmond Elliott:
Understanding Retrieval Robustness for Retrieval-augmented Image Captioning. ACL (1) 2024: 9285-9299- [c26]Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp:
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. NAACL-HLT 2024: 2221-2231 - [c25]Raphael Tang, Xinyu Crystina Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture:
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. NAACL-HLT 2024: 2327-2340 - [c24]Scott Rome
, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture:
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. SIGIR 2024: 2827-2831 - 2023
- [c23]Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin:
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers. ACL (Findings) 2023: 2870-2882 - [c22]Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture:
What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ACL (1) 2023: 5644-5659 - [c21]Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Yiqin Dai, Jimmy Lin:
"Low-Resource" Text Classification: A Parameter-Free Classification Method with Compressors. ACL (Findings) 2023: 6810-6828 - 2022
- [c20]Raphael Tang, Karun Kumar, Gefei Yang, Akshat Pandey, Yajie Mao, Vladislav Belyaev, Madhuri Emmadi, G. Craig Murray, Ferhan Ture, Jimmy Lin:
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. EMNLP (Industry Track) 2022: 285-293 - [c19]Raphael Tang, Karun Kumar, Ji Xin, Piyush Vyas, Wenyan Li, Gefei Yang, Yajie Mao, G. Craig Murray, Jimmy Lin:
Temporal Early Exiting for Streaming Speech Commands Recognition. ICASSP 2022: 7567-7571 - 2021
- [c18]Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin:
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing. ACL/IJCNLP (1) 2021: 1040-1051 - [c17]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. BlackboxNLP@EMNLP 2021: 496-509 - [c16]Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin:
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. EACL 2021: 91-104 - [c15]Raphael Tang, Karun Kumar, Kendra Chalkley, Ji Xin, Liming Zhang, Wenyan Li, Gefei Yang, Yajie Mao, Junho Shin, Geoffrey Craig Murray, Jimmy Lin:
Voice Query Auto Completion. EMNLP (1) 2021: 900-906 - 2020
- [c14]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. ACL 2020: 2246-2251 - [c13]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. ACL 2020: 2766-2772 - [c12]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP 2020: 31-41 - [c11]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottleneck for Attribution in Transformers. EMNLP (Findings) 2020: 3850-3857 - [c10]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin:
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. RepL4NLP@ACL 2020: 72-77 - 2019
- [c9]Raphael Tang, Yao Lu, Jimmy Lin:
Natural Language Generation for Effective Knowledge Distillation. DeepLo@EMNLP-IJCNLP 2019: 202-208 - [c8]Jaejun Lee, Raphael Tang, Jimmy Lin:
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting. EMNLP/IJCNLP (3) 2019: 91-96 - [c7]Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. EMNLP/IJCNLP (1) 2019: 1204-1209 - [c6]Jaejun Lee, Raphael Tang, Jimmy Lin:
Universal voice-enabled user interfaces using JavaScript. IUI Companion 2019: 81-82 - [c5]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
Rethinking Complex Neural Network Architectures for Document Classification. NAACL-HLT (1) 2019: 4046-4051 - [c4]Raphael Tang, Ferhan Türe, Jimmy Lin:
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems. SIGIR 2019: 853-856 - [c3]Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. SIGIR 2019: 1375-1376 - 2018
- [c2]Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin:
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting. ICASSP 2018: 5479-5483 - [c1]Raphael Tang, Jimmy Lin:
Deep Residual Learning for Small-Footprint Keyword Spotting. ICASSP 2018: 5484-5488
Informal and Other Publications
- 2024
- [i29]Scott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture:
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. CoRR abs/2405.00801 (2024) - [i28]Wenyan Li, Jiaang Li, Rita Ramos, Raphael Tang, Desmond Elliott:
Understanding Retrieval Robustness for Retrieval-Augmented Image Captioning. CoRR abs/2406.02265 (2024) - [i27]Raphael Tang, Xinyu Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture:
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation. CoRR abs/2406.08482 (2024) - [i26]Wenyan Li, Xinyu Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott:
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture. CoRR abs/2406.11030 (2024) - 2023
- [i25]Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture:
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. CoRR abs/2310.07712 (2023) - [i24]Raphael Tang, Xinyu Zhang, Jimmy Lin, Ferhan Ture:
What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations. CoRR abs/2311.18812 (2023) - [i23]Xinyu Zhang, Sebastian Hofstätter, Patrick S. H. Lewis, Raphael Tang, Jimmy Lin:
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. CoRR abs/2312.02969 (2023) - 2022
- [i22]Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin:
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers. CoRR abs/2208.00483 (2022) - [i21]Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture:
What the DAAM: Interpreting Stable Diffusion Using Cross Attention. CoRR abs/2210.04885 (2022) - [i20]Raphael Tang, Karun Kumar, Gefei Yang, Akshat Pandey, Yajie Mao, Vladislav Belyaev, Madhuri Emmadi, G. Craig Murray, Ferhan Ture, Jimmy Lin:
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. CoRR abs/2211.11740 (2022) - [i19]Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Jimmy Lin:
Less is More: Parameter-Free Text Classification with Gzip. CoRR abs/2212.09410 (2022) - 2020
- [i18]Raphael Tang, Rodrigo Frassetto Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin:
Rapidly Bootstrapping a Question Answering Dataset for COVID-19. CoRR abs/2004.11339 (2020) - [i17]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. CoRR abs/2004.12993 (2020) - [i16]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. CoRR abs/2004.13705 (2020) - [i15]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR abs/2007.07846 (2020) - [i14]Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin:
Howl: A Deployed, Open-Source Wake Word Detection System. CoRR abs/2008.09606 (2020) - [i13]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottlenecks for Attribution in Transformers. CoRR abs/2012.13838 (2020) - 2019
- [i12]Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin:
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR abs/1903.12136 (2019) - [i11]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
DocBERT: BERT for Document Classification. CoRR abs/1904.08398 (2019) - [i10]Yinan Zhang, Raphael Tang, Jimmy Lin:
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks. CoRR abs/1911.02847 (2019) - [i9]Jaejun Lee, Raphael Tang, Jimmy Lin:
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning. CoRR abs/1911.03090 (2019) - 2018
- [i8]Raphael Tang, Jimmy Lin:
Adaptive Pruning of Neural Language Models for Mobile Devices. CoRR abs/1809.10282 (2018) - [i7]Jaejun Lee, Raphael Tang, Jimmy Lin:
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis. CoRR abs/1810.12859 (2018) - [i6]Raphael Tang, Jimmy Lin:
Progress and Tradeoffs in Neural Language Models. CoRR abs/1811.00942 (2018) - [i5]Raphael Tang, Ashutosh Adhikari, Jimmy Lin:
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks. CoRR abs/1811.03060 (2018) - [i4]Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Türe, Jimmy Lin:
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks. CoRR abs/1812.07754 (2018) - 2017
- [i3]Raphael Tang, Jimmy Lin:
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting. CoRR abs/1710.06554 (2017) - [i2]Raphael Tang, Jimmy Lin:
Deep Residual Learning for Small-Footprint Keyword Spotting. CoRR abs/1710.10361 (2017) - [i1]Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin:
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting. CoRR abs/1711.00333 (2017)
Coauthor Index
aka: Ferhan Türe
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last updated on 2024-09-26 01:00 CEST by the dblp team
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