Luke Zettlemoyer - researchr alias

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2024

Demystifying CLIP DataHu Xu 0001, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang 0001, Russell Howes, Vasu Sharma, Shang-wen Li 0001, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer. iclr 2024: [doi]

Altogether: Image Captioning via Re-aligning Alt-textHu Xu 0001, Po-Yao Huang 0001, Xiaoqing Ellen Tan, Ching-feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li 0001, Saining Xie, Christoph Feichtenhofer. emnlp 2024: 19302-19318 [doi]

Representation Deficiency in Masked Language ModelingYu Meng 0001, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han 0001, Luke Zettlemoyer. iclr 2024: [doi]

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsLucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa. acl 2024: 749-775 [doi]

Breaking the Curse of Multilinguality with Cross-lingual Expert Language ModelsTerra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer. emnlp 2024: 10822-10837 [doi]

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model GenerationTong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi 0001, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh. emnlp 2024: 15134-15158 [doi]

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language ModelsYushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna. nips 2024: [doi]

DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner 0001, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar. nips 2024: [doi]

Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis. iclr 2024: [doi]

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language ModelingTomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer. acl 2024: 15059-15076 [doi]

RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen 0002, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James 0001, Pedro Rodriguez 0001, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih. iclr 2024: [doi]

MoDE: CLIP Data Experts via ClusteringJiawei Ma, Po-Yao Huang 0001, Saining Xie, Shang-wen Li 0001, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu 0001. cvpr 2024: 26344-26353 [doi]

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context LengthXuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang 0108, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou. nips 2024: [doi]

SILO Language Models: Isolating Legal Risk In a Nonparametric DatastoreSewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer. iclr 2024: [doi]

Better Alignment with Instruction Back-and-Forth TranslationThao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li. emnlp 2024: 13289-13308 [doi]

Scaling Retrieval-Based Language Models with a Trillion-Token DatastoreRulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh. nips 2024: [doi]

Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih. naacl 2024: 783-791 [doi]

REPLUG: Retrieval-Augmented Black-Box Language ModelsWeijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James 0001, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih. naacl 2014: 8371-8384 [doi]

Detecting Pretraining Data from Large Language ModelsWeijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen 0001, Luke Zettlemoyer. iclr 2024: [doi]

In-Context Pretraining: Language Modeling Beyond Document BoundariesWeijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis. iclr 2024: [doi]

Evaluating Copyright Takedown Methods for Language ModelsBoyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson 0002. nips 2024: [doi]

2023

CiT: Curation in Training for Effective Vision-Language DataHu Xu 0001, Saining Xie, Po-Yao Huang 0001, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer. iccv 2023: 15134-15143 [doi]

CREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu 0001, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi. acl 2023: 10457-10480 [doi]

Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer. icml 2023: 265-279 [doi]

In-context Examples Selection for Machine TranslationSweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad. acl 2023: 8857-8873 [doi]

Revisiting Machine Translation for Cross-lingual ClassificationMikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer. emnlp 2023: 6489-6499 [doi]

Prompting Language Models for Linguistic StructureTerra Blevins, Hila Gonen, Luke Zettlemoyer. acl 2023: 6649-6663 [doi]

Binding Language Models in Symbolic LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi 0010, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu 0009. iclr 2023: [doi]

LegoNN: Building Modular Encoder-Decoder ModelsSiddharth Dalmia, Dmytro Okhonko, Mike Lewis, Sergey Edunov, Shinji Watanabe 0001, Florian Metze, Luke Zettlemoyer, Abdelrahman Mohamed. taslp, 31:3112-3126, 2023. [doi]

QLoRA: Efficient Finetuning of Quantized LLMsTim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer. nips 2023: [doi]

The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer. icml 2023: 7750-7774 [doi]

InCoder: A Generative Model for Code Infilling and SynthesisDaniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang 0001, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis. iclr 2023: [doi]

ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningOlga Golovneva, Moya Chen, Spencer Poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz. iclr 2023: [doi]

Demystifying Prompts in Language Models via Perplexity EstimationHila Gonen, Srini Iyer 0001, Terra Blevins, Noah A. Smith, Luke Zettlemoyer. emnlp 2023: 10136-10148 [doi]

DS-1000: A Natural and Reliable Benchmark for Data Science Code GenerationYuhang Lai, Chengxi Li 0011, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu. icml 2023: 18319-18345 [doi]

Contrastive Decoding: Open-ended Text Generation as OptimizationXiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis. acl 2023: 12286-12312 [doi]

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsDavis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa. emnlp 2023: 13142-13152 [doi]

Z-ICL: Zero-Shot In-Context Learning with Pseudo-DemonstrationsXinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi. acl 2023: 2304-2317 [doi]

Mega: Moving Average Equipped Gated AttentionXuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer. iclr 2023: [doi]

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi. emnlp 2023: 12076-12100 [doi]

Nonparametric Masked Language ModelingSewon Min, Weijia Shi, Mike Lewis, Xilun Chen 0002, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer. acl 2023: 2097-2118 [doi]

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 LanguagesBenjamin Muller, Belen Alastruey, Prangthip Hansanti, Elahe Kalbassi, Christophe Ropers, Eric Smith, Adina Williams, Luke Zettlemoyer, Pierre Andrews, Marta R. Costa-Jussà. wmt 2023: 536-550 [doi]

AGRO: Adversarial discovery of error-prone Groups for Robust OptimizationBhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi. iclr 2023: [doi]

Questions Are All You Need to Train a Dense Passage RetrieverDevendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer. tacl, 11:600-616, 2023. [doi]

Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom. nips 2023: [doi]

Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer. emnlp 2023: 10994-11005 [doi]

Getting MoRE out of Mixture of Language Model Reasoning ExpertsChenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber. emnlp 2023: 8234-8249 [doi]

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLISuzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias. AAAI 2023: 9837-9845 [doi]

One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu 0009. acl 2023: 1102-1121 [doi]

Selective Annotation Makes Language Models Better Few-Shot LearnersHongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang 0037, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu 0009. iclr 2023: [doi]

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng 0001, Jiaming Shen, You Wu 0001, Luke Zettlemoyer, Huan Sun 0001. acl 2023: 2717-2739 [doi]

Stable and low-precision training for large-scale vision-language modelsMitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt. nips 2023: [doi]

Training Trajectories of Language Models Across ScalesMengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov. acl 2023: 13711-13738 [doi]

Retrieval-Augmented Multimodal Language ModelingMichihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James 0001, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih. icml 2023: 39755-39769 [doi]

MEGABYTE: Predicting Million-byte Sequences with Multiscale TransformersLili Yu, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis. nips 2023: [doi]

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question AnsweringVictor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer. emnlp 2023: 7055-7067 [doi]

LIMA: Less Is More for AlignmentChunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer 0001, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy. nips 2023: [doi]

2022

HTLM: Hyper-Text Pre-Training and Prompting of Language ModelsArmen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu 0001, Gargi Ghosh, Luke Zettlemoyer. iclr 2022: [doi]

On the Role of Bidirectionality in Language Model Pre-TrainingMikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov. emnlp 2022: 3973-3985 [doi]

Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained ModelsTerra Blevins, Luke Zettlemoyer. emnlp 2022: 3563-3574 [doi]

Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language ModelsTerra Blevins, Hila Gonen, Luke Zettlemoyer. emnlp 2022: 3575-3590 [doi]

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine TranslationEleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad. naacl 2022: 1469-1485 [doi]

Multilingual Autoregressive Entity LinkingNicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel 0001, Fabio Petroni. tacl, 10:274-290, 2022. [doi]

8-bit Optimizers via Block-wise QuantizationTim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer. iclr 2022: [doi]

GPT3.int8(): 8-bit Matrix Multiplication for Transformers at ScaleTim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer. nips 2022: [doi]

CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationTanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer. emnlp 2022: 2964-2984 [doi]

DEMix Layers: Disentangling Domains for Modular Language ModelingSuchin Gururangan, Mike Lewis, Ari Holtzman, Noah Smith, Luke Zettlemoyer. naacl 2022: 5557-5576 [doi]

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data SelectionSuchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith. emnlp 2022: 2562-2580 [doi]

Question Answering Infused Pre-training of General-Purpose Contextualized RepresentationsRobin Jia, Mike Lewis, Luke Zettlemoyer. acl 2022: 711-728 [doi]

Quantifying Adaptability in Pre-trained Language Models with 500 TasksBelinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas. naacl 2022: 4696-4715 [doi]

Prompt-free and Efficient Few-shot Learning with Language ModelsRabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson 0001, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani. acl 2022: 3638-3652 [doi]

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer. emnlp 2022: 11048-11064 [doi]

MetaICL: Learning to Learn In ContextSewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi. naacl 2022: 2791-2809 [doi]

Noisy Channel Language Model Prompting for Few-Shot Text ClassificationSewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer. acl 2022: 5316-5330 [doi]

FaVIQ: FAct Verification from Information-seeking QuestionsJungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi. acl 2022: 5154-5166 [doi]

M2D2: A Massively Multi-Domain Language Modeling DatasetMachel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer. emnlp 2022: 964-975 [doi]

Improving Passage Retrieval with Zero-Shot Question GenerationDevendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer. emnlp 2022: 3781-3797 [doi]

Nearest Neighbor Zero-Shot InferenceWeijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer. emnlp 2022: 3254-3265 [doi]

Natural Language to Code Translation with ExecutionFreda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang. emnlp 2022: 3533-3546 [doi]

Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan. nips 2022: [doi]

Stop: A Dataset for Spoken Task Oriented Semantic ParsingPaden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-Chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossi Adi, Robin Algayres, Tu Anh Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed. slt 2022: 991-998 [doi]

Improving Policy Learning via Language Dynamics DistillationVictor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel. nips 2022: [doi]

2021

Better Fine-Tuning by Reducing Representational CollapseArmen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta. iclr 2021: [doi]

Muppet: Massive Multi-task Representations with Pre-FinetuningArmen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta. emnlp 2021: 5799-5811 [doi]

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningArmen Aghajanyan, Sonal Gupta, Luke Zettlemoyer. acl 2021: 7319-7328 [doi]

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the DictionaryTerra Blevins, Mandar Joshi, Luke Zettlemoyer. eacl 2021: 455-465 [doi]

Learning Better Structured Representations Using Low-rank Adaptive Label SmoothingAsish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad. iclr 2021: [doi]

Surface Form Competition: Why the Highest Probability Answer Isn't Always RightAri Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer. emnlp 2021: 7038-7051 [doi]

Nearest Neighbor Machine TranslationUrvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis. iclr 2021: [doi]

DeLighT: Deep and Light-weight TransformerSachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi. iclr 2021: [doi]

Inducing Semantic Roles Without SyntaxJulian Michael, Luke Zettlemoyer. acl 2021: 4427-4442 [doi]

Prompting Contrastive Explanations for Commonsense Reasoning TasksBhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer. acl 2021: 4179-4192 [doi]

DESCGEN: A Distantly Supervised Datasetfor Generating Entity DescriptionsWeijia Shi, Mandar Joshi, Luke Zettlemoyer. acl 2021: 415-427 [doi]

VLM: Task-agnostic Video-Language Model Pre-training for Video UnderstandingHu Xu, Gargi Ghosh, Po-Yao Huang 0001, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer. acl 2021: 4227-4239 [doi]

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text UnderstandingHu Xu, Gargi Ghosh, Po-Yao Huang 0001, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer. emnlp 2021: 6787-6800 [doi]

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