Ari Holtzman

According to our database, Ari Holtzman authored at least 40 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarks as Microscopes: A Call for Model Metrology.

Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra

CoRR, 2024

MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang

CoRR, 2024

Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling.

Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman

CoRR, 2024

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.

Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin

CoRR, 2024

Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass.

Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati

CoRR, 2024

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving.

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

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

2023

CacheGen: Fast Context Loading for Language Model Applications.

Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, Ganesh Ananthanarayanan, Junchen Jiang

CoRR, 2023

How FaR Are Large Language Models From Agents with Theory-of-Mind?

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

CoRR, 2023

Artificial Intelligence and Aesthetic Judgment.

Jessica Hullman, Ari Holtzman, Andrew Gelman

CoRR, 2023

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Ari Holtzman, Peter West, Luke Zettlemoyer

CoRR, 2023

QLoRA: Efficient Finetuning of Quantized LLMs.

Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey.

Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Decoding: Open-ended Text Generation as Optimization.

Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

DEMix Layers: Disentangling Domains for Modular Language Modeling.

Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

TuringAdvice: A Generative and Dynamic Evaluation of Language Use.

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right.

Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Discourse Understanding and Factual Consistency in Abstractive Summarization.

Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.

Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations.

Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi

CoRR, 2020

Evaluating Machines by their Real-World Language Use.

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

CoRR, 2020

The Curious Case of Neural Text Degeneration.

Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi

Proceedings of the 8th International Conference on Learning Representations, 2020

Abductive Commonsense Reasoning.

Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi

Proceedings of the 8th International Conference on Learning Representations, 2020

Experience Grounds Language.

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow.

Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi

CoRR, 2019

The Curious Case of Neural Text Degeneration.

Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi

CoRR, 2019

Defending Against Neural Fake News.

Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle.

Peter West, Ari Holtzman, Jan Buys, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Counterfactual Story Reasoning and Generation.

Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation.

Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Do Neural Language Representations Learn Physical Commonsense?

Maxwell Forbes, Ari Holtzman, Yejin Choi

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

HellaSwag: Can a Machine Really Finish Your Sentence?

Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Sounding Board: A User-Centric and Content-Driven Social Chatbot.

Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Simulating Action Dynamics with Neural Process Networks.

Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning to Write with Cooperative Discriminators.

Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Connotation Frames of Power and Agency in Modern Films.

Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017