Ari Holtzman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 61

Top Topics

Nearest Neighbor

Top Venues

Publications

Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR (2024)
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 (2024)
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)
Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra
Benchmarks as Microscopes: A Call for Model Metrology. CoRR (2024)
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 (2024)
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 (2024)
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)
Ari Holtzman, Peter West, Luke Zettlemoyer
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? CoRR (2023)
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)
Jessica Hullman, Ari Holtzman, Andrew Gelman
Artificial Intelligence and Aesthetic Judgment. CoRR (2023)
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 (2023)
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
QLoRA: Efficient Finetuning of Quantized LLMs. NeurIPS (2023)
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)
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 (2023)
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
QLoRA: Efficient Finetuning of Quantized LLMs. CoRR (2023)
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 (2022)
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 (2022)
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)
Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah Smith, Luke Zettlemoyer
DEMix Layers: Disentangling Domains for Modular Language Modeling. NAACL-HLT (2022)
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 (2022)
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 (2022)
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT (2021)
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)
Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
DEMix Layers: Disentangling Domains for Modular Language Modeling. CoRR (2021)
Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR (2021)
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)
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) (2021)
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)
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 (2021)
Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR (2021)
Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. AAAI (2021)
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)
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR (2021)
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi
The Curious Case of Neural Text Degeneration. ICLR (2020)
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)
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
Evaluating Machines by their Real-World Language Use. CoRR (2020)
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)
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 (2020)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR (2020)
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR (2019)
Maxwell Forbes, Ari Holtzman, Yejin Choi
Do Neural Language Representations Learn Physical Commonsense? CoRR (2019)
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
Defending Against Neural Fake News. NeurIPS (2019)
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 (2019)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
Counterfactual Story Reasoning and Generation. CoRR (2019)
Peter West, Ari Holtzman, Jan Buys, Yejin Choi
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. CoRR (2019)
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 (2019)
Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi
The Curious Case of Neural Text Degeneration. CoRR (2019)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) (2019)
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
Defending Against Neural Fake News. CoRR (2019)
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) (2019)
Peter West, Ari Holtzman, Jan Buys, Yejin Choi
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. EMNLP/IJCNLP (1) (2019)
Maxwell Forbes, Ari Holtzman, Yejin Choi
Do Neural Language Representations Learn Physical Commonsense? CogSci (2019)
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)
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR (2019)
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)
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi
Learning to Write with Cooperative Discriminators. CoRR (2018)
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 (2018)
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi
Learning to Write with Cooperative Discriminators. ACL (1) (2018)
Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi
Simulating Action Dynamics with Neural Process Networks. ICLR (Poster) (2018)
Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi
Connotation Frames of Power and Agency in Modern Films. EMNLP (2017)
Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi
Simulating Action Dynamics with Neural Process Networks. CoRR (2017)