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2020 – today
- 2024
[c27]Yuhan Liu
, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang:
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. SIGCOMM 2024: 38-56- [i34]Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati:
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR abs/2405.18400 (2024) - [i33]Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin:
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. CoRR abs/2405.19325 (2024) - [i32]Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman:
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR abs/2407.02446 (2024) - [i31]Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang:
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR abs/2407.06460 (2024) - [i30]Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra:
Benchmarks as Microscopes: A Call for Model Metrology. CoRR abs/2407.16711 (2024) - 2023
- [c26]Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis:
Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) 2023: 12286-12312 - [c25]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) 2023: 16334-16368 - [c24]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) 2023: 10994-11005 - [c23]Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer:
QLoRA: Efficient Finetuning of Quantized LLMs. NeurIPS 2023 - [i29]Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer:
QLoRA: Efficient Finetuning of Quantized LLMs. CoRR abs/2305.14314 (2023) - [i28]Ari Holtzman, Peter West, Luke Zettlemoyer:
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? CoRR abs/2308.00189 (2023) - [i27]Jessica Hullman, Ari Holtzman, Andrew Gelman:
Artificial Intelligence and Aesthetic Judgment. CoRR abs/2309.12338 (2023) - [i26]Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui:
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR abs/2310.03051 (2023) - [i25]Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, Ganesh Ananthanarayanan, Junchen Jiang:
CacheGen: Fast Context Loading for Language Model Applications. CoRR abs/2310.07240 (2023) - 2022
- [c22]Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022: 11048-11064 - [c21]Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer:
DEMix Layers: Disentangling Domains for Modular Language Modeling. NAACL-HLT 2022: 5557-5576 - [i24]Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR abs/2202.12837 (2022) - [i23]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR abs/2208.12852 (2022) - [i22]Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis:
Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR abs/2210.15097 (2022) - [i21]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR abs/2212.10539 (2022) - 2021
- [c20]Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. AAAI 2021: 12760-12767 - [c19]Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi:
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) 2021: 1435-1450 - [c18]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) 2021: 2040-2050 - [c17]Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL 2021: 435-447 - [c16]Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. EMNLP (1) 2021: 7038-7051 - [c15]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) 2021: 7514-7528 - [c14]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT 2021: 4856-4880 - [i20]Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR abs/2102.01263 (2021) - [i19]Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR abs/2104.08315 (2021) - [i18]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR abs/2104.08718 (2021) - [i17]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR abs/2106.00188 (2021) - [i16]Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer:
DEMix Layers: Disentangling Domains for Modular Language Modeling. CoRR abs/2108.05036 (2021) - 2020
- [c13]Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. EMNLP (1) 2020: 8718-8735 - [c12]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. ICLR 2020 - [c11]Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. ICLR 2020 - [i15]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. CoRR abs/2004.03607 (2020) - [i14]Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. CoRR abs/2004.10151 (2020) - [i13]Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi:
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR abs/2010.08566 (2020)
2010 – 2019
- 2019
- [c10]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800 - [c9]Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CogSci 2019: 1753-1759 - [c8]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c7]Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. EMNLP/IJCNLP (1) 2019: 3750-3759 - [c6]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) 2019: 5042-5052 - [c5]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. NeurIPS 2019: 9051-9062 - [i12]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i11]Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. CoRR abs/1904.09751 (2019) - [i10]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i9]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i8]Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR abs/1907.01272 (2019) - [i7]Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CoRR abs/1908.02899 (2019) - [i6]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. CoRR abs/1908.05739 (2019) - [i5]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. CoRR abs/1909.04076 (2019) - [i4]Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. CoRR abs/1909.07405 (2019) - 2018
- [c4]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. ACL (1) 2018: 1638-1649 - [c3]Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. ICLR (Poster) 2018 - [c2]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) 2018: 96-100 - [i3]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR abs/1804.10202 (2018) - [i2]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. CoRR abs/1805.06087 (2018) - 2017
- [c1]Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi:
Connotation Frames of Power and Agency in Modern Films. EMNLP 2017: 2329-2334 - [i1]Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. CoRR abs/1711.05313 (2017)
Coauthor Index
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last updated on 2024-08-20 20:29 CEST by the dblp team
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