Ari Holtzman - RankMe

81 papers A* 13A 1B 1Journal 48Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI as Entertainment. CoRR Cody Kommers, Ari Holtzman
2026	J	`jnl`	Email in the Era of LLMs. CoRR Dang Nguyen, Harvey Yiyun Fu, Peter West, Chenhao Tan, Ari Holtzman
2026	J	`jnl`	The Story is Not the Science: Execution-Grounded Evaluation of Mechanistic Interpretability Research. CoRR Xiaoyan Bai, Alexander Baumgartner, Haojia Sun, Ari Holtzman, Chenhao Tan
2026	J	`jnl`	Why Slop Matters. CoRR Cody Kommers, Eamon Duede, Julia Gordon, Ari Holtzman, Tess McNulty, Spencer Stewart, Lindsay Thomas, Richard Jean So, Hoyt Long
2025	J	`jnl`	AbsenceBench: Language Models Can't Tell What's Missing. CoRR Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore, Peter West, Chenhao Tan, Ari Holtzman
2025	—	`conf`	Byte Latent Transformer: Patches Scale Better Than Tokens. ACL (1) Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
2025	A*	`conf`	Forking Paths in Neural Text Generation. ICLR Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer David Ullman
2025	J	`jnl`	How Alignment Shrinks the Generative Horizon. CoRR Chenghao Yang, Ari Holtzman
2025	J	`jnl`	Know Thyself? On the Incapability and Implications of AI Self-Recognition. CoRR Xiaoyan Bai, Aryan Shrivastava, Ari Holtzman, Chenhao Tan
2025	J	`jnl`	LL3M: Large Language 3D Modelers. CoRR Sining Lu, Guan Chen, Nam Anh Dinh, Itai Lang, Ari Holtzman, Rana Hanocka
2025	J	`jnl`	Linearly Decoding Refused Knowledge in Aligned Language Models. CoRR Aryan Shrivastava, Ari Holtzman
2025	A*	`conf`	MUSE: Machine Unlearning Six-Way Evaluation for Language Models. ICLR Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang
2025	J	`jnl`	Mapping Overlaps in Benchmarks through Perplexity in the Wild. CoRR Siyang Wu, Honglin Bao, Sida Li, Ari Holtzman, James A. Evans
2025	J	`jnl`	Multiple Streams of Relation Extraction: Enriching and Recalling in Transformers. CoRR Todd Nief, David Reber, Sean M. Richardson, Ari Holtzman
2025	J	`jnl`	Prompting as Scientific Inquiry. CoRR Ari Holtzman, Chenhao Tan
2024	J	`jnl`	Benchmarks as Microscopes: A Call for Model Metrology. CoRR Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra
2024	J	`jnl`	Byte Latent Transformer: Patches Scale Better Than Tokens. CoRR Artidoro Pagnoni, Ram Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer
2024	A*	`conf`	CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. SIGCOMM 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
2024	J	`jnl`	Forking Paths in Neural Text Generation. CoRR Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer D. Ullman
2024	J	`jnl`	MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang
2024	A*	`conf`	Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. NeurIPS Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Scott Yih, Victoria Lin
2024	J	`jnl`	Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. CoRR Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
2024	J	`jnl`	Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
2024	A*	`conf`	Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. NeurIPS Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
2024	J	`jnl`	Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
2023	J	`jnl`	Artificial Intelligence and Aesthetic Judgment. CoRR Jessica Hullman, Ari Holtzman, Andrew Gelman
2023	J	`jnl`	CacheGen: Fast Context Loading for Language Model Applications. CoRR Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, Ganesh Ananthanarayanan, Junchen Jiang
2023	—	`conf`	Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2023	J	`jnl`	Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? CoRR Ari Holtzman, Peter West, Luke Zettlemoyer
2023	J	`jnl`	How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR 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
2023	—	`—`	Interpretation Errors: Extracting Functionality from Generative Models of Language by Understanding Them Better Ari Holtzman
2023	A*	`conf`	QLoRA: Efficient Finetuning of Quantized LLMs. NeurIPS Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
2023	J	`jnl`	QLoRA: Efficient Finetuning of Quantized LLMs. CoRR Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
2023	—	`conf`	Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
2023	—	`conf`	What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
2022	J	`jnl`	Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2022	—	`conf`	DEMix Layers: Disentangling Domains for Modular Language Modeling. NAACL-HLT Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
2022	A*	`conf`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
2022	J	`jnl`	What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
2021	—	`conf`	CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021	J	`jnl`	CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021	J	`jnl`	DEMix Layers: Disentangling Domains for Modular Language Modeling. CoRR Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
2021	A	`conf`	Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
2021	A*	`conf`	MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. AAAI Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
2021	J	`jnl`	MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
2021	—	`conf`	PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021	J	`jnl`	PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021	—	`conf`	Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
2021	—	`conf`	Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. EMNLP (1) Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
2021	J	`jnl`	Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
2021	—	`conf`	TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
2020	A*	`conf`	Abductive Commonsense Reasoning. ICLR Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020	J	`jnl`	Evaluating Machines by their Real-World Language Use. CoRR Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
2020	—	`conf`	Experience Grounds Language. EMNLP (1) 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
2020	J	`jnl`	Experience Grounds Language. CoRR 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
2020	J	`jnl`	Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
2020	A*	`conf`	The Curious Case of Neural Text Degeneration. ICLR Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi
2019	J	`jnl`	Abductive Commonsense Reasoning. CoRR Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
2019	—	`conf`	BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. EMNLP/IJCNLP (1) Peter West, Ari Holtzman, Jan Buys, Yejin Choi
2019	J	`jnl`	BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. CoRR Peter West, Ari Holtzman, Jan Buys, Yejin Choi
2019	J	`jnl`	Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi
2019	—	`conf`	Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
2019	J	`jnl`	Counterfactual Story Reasoning and Generation. CoRR Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
2019	A*	`conf`	Defending Against Neural Fake News. NeurIPS Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
2019	J	`jnl`	Defending Against Neural Fake News. CoRR Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
2019	B	`conf`	Do Neural Language Representations Learn Physical Commonsense? CogSci Maxwell Forbes, Ari Holtzman, Yejin Choi
2019	J	`jnl`	Do Neural Language Representations Learn Physical Commonsense? CoRR Maxwell Forbes, Ari Holtzman, Yejin Choi
2019	—	`conf`	HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019	J	`jnl`	HellaSwag: Can a Machine Really Finish Your Sentence? CoRR Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019	A*	`conf`	Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa
2019	J	`jnl`	Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa
2019	J	`jnl`	The Curious Case of Neural Text Degeneration. CoRR Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi
2018	—	`conf`	Learning to Write with Cooperative Discriminators. ACL (1) Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi
2018	J	`jnl`	Learning to Write with Cooperative Discriminators. CoRR Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi
2018	—	`conf`	Simulating Action Dynamics with Neural Process Networks. ICLR (Poster) Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi
2018	—	`conf`	Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf
2018	J	`jnl`	Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf
2017	A*	`conf`	Connotation Frames of Power and Agency in Modern Films. EMNLP Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi
2017	J	`jnl`	Simulating Action Dynamics with Neural Process Networks. CoRR Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi