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2020 – today
- 2024
[c108]Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky:
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) 2024: 10040-10060- [c107]Jing Nathan Yan, Jiatao Gu, Alexander M. Rush:
Diffusion Models Without Attention. CVPR 2024: 8239-8249 - [c106]Wenting Zhao, Ge Gao, Claire Cardie, Alexander M. Rush:
I Could've Asked That: Reformulating Unanswerable Questions. EMNLP 2024: 4207-4220 - [c105]Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah:
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. EMNLP 2024: 19154-19167 - [c104]Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush:
Guess & Sketch: Language Model Guided Transpilation. ICLR 2024 - [c103]John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush:
Language Model Inversion. ICLR 2024 - [c102]Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li:
Entity Disambiguation via Fusion Entity Decoding. NAACL-HLT 2024: 6524-6536 - [i105]Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush:
MambaByte: Token-free Selective State Space Model. CoRR abs/2401.13660 (2024) - [i104]Junxiong Wang, Ali Mousavi, Omar Attia, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li:
Entity Disambiguation via Fusion Entity Decoding. CoRR abs/2404.01626 (2024) - [i103]Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov:
Simple and Effective Masked Diffusion Language Models. CoRR abs/2406.07524 (2024) - [i102]Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah:
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR abs/2406.16635 (2024) - [i101]Wenting Zhao, Ge Gao, Claire Cardie, Alexander M. Rush:
I Could've Asked That: Reformulating Unanswerable Questions. CoRR abs/2407.17469 (2024) - [i100]Shangyi Geng, Wenting Zhao, Alexander M. Rush:
Great Memory, Shallow Reasoning: Limits of kNN-LMs. CoRR abs/2408.11815 (2024) - [i99]Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao:
The Mamba in the Llama: Distilling and Accelerating Hybrid Models. CoRR abs/2408.15237 (2024) - [i98]Yi Lu, Jing Nathan Yan, Songlin Yang, Justin T. Chiu, Siyu Ren, Fei Yuan, Wenting Zhao, Zhiyong Wu, Alexander M. Rush:
A Controlled Study on Long Context Extension and Generalization in LLMs. CoRR abs/2409.12181 (2024) - [i97]John X. Morris, Alexander M. Rush:
Contextual Document Embeddings. CoRR abs/2410.02525 (2024) - [i96]Junjie Oscar Yin, Alexander M. Rush:
Compute-Constrained Data Selection. CoRR abs/2410.16208 (2024) - [i95]Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush:
Commit0: Library Generation from Scratch. CoRR abs/2412.01769 (2024) - [i94]Wenting Zhao, Alexander M. Rush, Tanya Goyal:
Challenges in Trustworthy Human Evaluation of Chatbots. CoRR abs/2412.04363 (2024) - 2023
- [j10]Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo
, Sergey Ovchinnikov:
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. 39(1) (2023) - [j9]Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits 58(2): 569-581 (2023) - [j8]David Chiang, Alexander M. Rush, Boaz Barak:
Named Tensor Notation. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. 29(1): 1146-1156 (2023) - [c101]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. ACL (1) 2023: 14883-14896 - [c100]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP 2023: 31-55 - [c99]Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush:
Pretraining Without Attention. EMNLP (Findings) 2023: 58-69 - [c98]Alexander M. Rush:
MiniChain: A Small Library for Coding with Large Language Models. EMNLP (Demos) 2023: 311-317 - [c97]Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP 2023: 6253-6267 - [c96]Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried:
Symbolic Planning and Code Generation for Grounded Dialogue. EMNLP 2023: 7426-7436 - [c95]John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush:
Text Embeddings Reveal (Almost) As Much As Text. EMNLP 2023: 12448-12460 - [c94]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision. EMNLP 2023: 16119-16130 - [c93]Yuntian Deng, Noriyuki Kojima, Alexander M. Rush:
Markup-to-Image Diffusion Models with Scheduled Sampling. ICLR 2023 - [c92]Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC 2023: 342-343 - [c91]Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh:
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. NeurIPS 2023 - [c90]Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin A. Raffel:
Scaling Data-Constrained Language Models. NeurIPS 2023 - [c89]Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu:
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. SIGCOMM 2023: 378-393 - [i93]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision. CoRR abs/2305.14237 (2023) - [i92]Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush:
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. CoRR abs/2305.14618 (2023) - [i91]Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel:
Scaling Data-Constrained Language Models. CoRR abs/2305.16264 (2023) - [i90]Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh:
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. CoRR abs/2306.16527 (2023) - [i89]Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush:
Guess & Sketch: Language Model Guided Transpilation. CoRR abs/2309.14396 (2023) - [i88]John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush:
Text Embeddings Reveal (Almost) As Much As Text. CoRR abs/2310.06816 (2023) - [i87]John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR abs/2310.14034 (2023) - [i86]Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf:
Zephyr: Direct Distillation of LM Alignment. CoRR abs/2310.16944 (2023) - [i85]Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried:
Symbolic Planning and Code Generation for Grounded Dialogue. CoRR abs/2310.17140 (2023) - [i84]Sanchit Gandhi, Patrick von Platen, Alexander M. Rush:
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling. CoRR abs/2311.00430 (2023) - [i83]Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky:
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR abs/2311.08390 (2023) - [i82]John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush:
Language Model Inversion. CoRR abs/2311.13647 (2023) - [i81]Jing Nathan Yan, Jiatao Gu, Alexander M. Rush:
Diffusion Models Without Attention. CoRR abs/2311.18257 (2023) - 2022
- [j6]Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
GenNI: Human-AI Collaboration for Data-Backed Text Generation. IEEE Trans. Vis. Comput. Graph. 28(1): 1106-1116 (2022) - [c88]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c87]Zhiying Xu, Sivaramakrishnan Ramanathan, Alexander M. Rush, Jelena Mirkovic, Minlan Yu:
Xatu: boosting existing DDoS detection systems using auxiliary signals. CoNEXT 2022: 1-17 - [c86]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. EMNLP (Findings) 2022: 4777-4788 - [c85]Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush:
Model Criticism for Long-Form Text Generation. EMNLP 2022: 11887-11912 - [c84]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR 2022 - [i80]Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. CoRR abs/2201.02715 (2022) - [i79]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR abs/2202.01279 (2022) - [i78]Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR abs/2208.07852 (2022) - [i77]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR abs/2210.01848 (2022) - [i76]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR abs/2210.01970 (2022) - [i75]Yuntian Deng, Noriyuki Kojima, Alexander M. Rush:
Markup-to-Image Diffusion Models with Scheduled Sampling. CoRR abs/2210.05147 (2022) - [i74]Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush:
Model Criticism for Long-Form Text Generation. CoRR abs/2210.08444 (2022) - [i73]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. CoRR abs/2210.11528 (2022) - [i72]Sanchit Gandhi, Patrick von Platen, Alexander M. Rush:
ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition. CoRR abs/2210.13352 (2022) - [i71]Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu:
Teal: Learning-Accelerated Optimization of Traffic Engineering. CoRR abs/2210.13763 (2022) - [i70]Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.:
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR abs/2211.05100 (2022) - [i69]Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush:
Pretraining Without Attention. CoRR abs/2212.10544 (2022) - 2021
- [c83]Demi Guo, Alexander M. Rush, Yoon Kim:
Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) 2021: 4884-4896 - [c82]Xinya Du, Alexander M. Rush, Claire Cardie:
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction. EACL 2021: 634-644 - [c81]Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf:
Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) 2021: 175-184 - [c80]Yuntian Deng, Alexander M. Rush:
Sequence-to-Lattice Models for Fast Translation. EMNLP (Findings) 2021: 3765-3772 - [c79]Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush:
Rationales for Sequential Predictions. EMNLP (1) 2021: 10314-10332 - [c78]François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush:
Block Pruning For Faster Transformers. EMNLP (1) 2021: 10619-10629 - [c77]Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium - August 22-24, 2021. HCS 2021: 1-13 - [c76]Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush:
Learning from others' mistakes: Avoiding dataset biases without modeling them. ICLR 2021 - [c75]Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET. ISSCC 2021: 158-160 - [c74]Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. MICCAI (8) 2021: 363-372 - [c73]Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO 2021: 830-844 - [c72]Xinya Du, Alexander M. Rush, Claire Cardie:
Template Filling with Generative Transformers. NAACL-HLT 2021: 909-914 - [c71]Victor Sanh, Alexander M. Rush:
Low-Complexity Probing via Finding Subnetworks. NAACL-HLT 2021: 960-966 - [c70]Teven Le Scao, Alexander M. Rush:
How many data points is a prompt worth? NAACL-HLT 2021: 2627-2636 - [c69]Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS 2021: 2887-2898 - [i68]David Chiang, Alexander M. Rush, Boaz Barak:
Named Tensor Notation. CoRR abs/2102.13196 (2021) - [i67]Teven Le Scao, Alexander M. Rush:
How Many Data Points is a Prompt Worth? CoRR abs/2103.08493 (2021) - [i66]Steven Cao, Victor Sanh, Alexander M. Rush:
Low-Complexity Probing via Finding Subnetworks. CoRR abs/2104.03514 (2021) - [i65]Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. CoRR abs/2107.06360 (2021) - [i64]Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf:
Datasets: A Community Library for Natural Language Processing. CoRR abs/2109.02846 (2021) - [i63]François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush:
Block Pruning For Faster Transformers. CoRR abs/2109.04838 (2021) - [i62]Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush:
Rationales for Sequential Predictions. CoRR abs/2109.06387 (2021) - [i61]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR abs/2110.08207 (2021) - [i60]Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
GenNI: Human-AI Collaboration for Data-Backed Text Generation. CoRR abs/2110.10185 (2021) - 2020
- [j5]Georgios A. Tritsaris, Yiqi Xie, Alexander M. Rush, Stephen Carr, Marios Mattheakis, Efthimios Kaxiras:
LAN: A Materials Notation for Two-Dimensional Layered Assemblies. J. Chem. Inf. Model. 60(7): 3457-3462 (2020) - [j4]Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush:
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. IEEE Trans. Vis. Comput. Graph. 26(1): 884-894 (2020) - [c68]Alexander M. Rush:
Torch-Struct: Deep Structured Prediction Library. ACL (demo) 2020: 335-342 - [c67]Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi:
What is Learned in Visually Grounded Neural Syntax Acquisition. ACL 2020: 2615-2635 - [c66]Xiang Lisa Li, Alexander M. Rush:
Posterior Control of Blackbox Generation. ACL 2020: 2731-2743 - [c65]Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC 2020: 1-6 - [c64]Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, Alexander M. Rush:
Transformers: State-of-the-Art Natural Language Processing. EMNLP (Demos) 2020: 38-45 - [c63]Justin T. Chiu, Alexander M. Rush:
Scaling Hidden Markov Language Models. EMNLP (1) 2020: 1341-1349 - [c62]Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie:
Improving Event Duration Prediction via Time-aware Pre-training. EMNLP (Findings) 2020: 3370-3378 - [c61]Congzheng Song, Alexander M. Rush, Vitaly Shmatikov:
Adversarial Semantic Collisions. EMNLP (1) 2020: 4198-4210 - [c60]Demi Guo, Yoon Kim, Alexander M. Rush:
Sequence-Level Mixed Sample Data Augmentation. EMNLP (1) 2020: 5547-5552 - [c59]Yuntian Deng, Alexander M. Rush:
Cascaded Text Generation with Markov Transformers. NeurIPS 2020 - [c58]Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush:
Latent Template Induction with Gumbel-CRFs. NeurIPS 2020 - [c57]Victor Sanh, Thomas Wolf, Alexander M. Rush:
Movement Pruning: Adaptive Sparsity by Fine-Tuning. NeurIPS 2020 - [i59]Alexander M. Rush:
Torch-Struct: Deep Structured Prediction Library. CoRR abs/2002.00876 (2020) - [i58]Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu:
Automating Botnet Detection with Graph Neural Networks. CoRR abs/2003.06344 (2020) - [i57]Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi:
What is Learned in Visually Grounded Neural Syntax Acquisition. CoRR abs/2005.01678 (2020) - [i56]Xiang Lisa Li, Alexander M. Rush:
Posterior Control of Blackbox Generation. CoRR abs/2005.04560 (2020) - [i55]