Jason Eisner

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 116

Top Venues

CoRR

ACL (1)

Trans. Assoc. Comput. Linguistics

EMNLP

Publications

Li Du, Holden Lee, Jason Eisner, Ryan Cotterell
When is a Language Process a Language Model? ACL (Findings) (2024)
Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. ACL (1) (2024)
Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. CoRR (2024)
Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. ACL (1) (2024)
Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) (2024)
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme
Learning to Retrieve Iteratively for In-Context Learning. CoRR (2024)
Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie
Do Androids Know They're Only Dreaming of Electric Sheep? ACL (Findings) (2024)
Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin
Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) (2023)
Jie Chi, Brian Lu, Jason Eisner, Peter Bell, Preethi Jyothi, Ahmed M. Ali
Unsupervised Code-switched Text Generation from Parallel Text. INTERSPEECH (2023)
Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie
Do Androids Know They're Only Dreaming of Electric Sheep? CoRR (2023)
Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner
Efficient Semiring-Weighted Earley Parsing. CoRR (2023)
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia
SCREWS: A Modular Framework for Reasoning with Revisions. CoRR (2023)
Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
A Measure-Theoretic Characterization of Tight Language Models. ACL (1) (2023)
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. ACL (Findings) (2023)
Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani
Interpreting User Requests in the Context of Natural Language Standing Instructions. CoRR (2023)
Li Du, Hongyuan Mei, Jason Eisner
Autoregressive Modeling with Lookahead Attention. CoRR (2023)
Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. CoRR (2023)
Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. NeurIPS (2023)
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. EMNLP (2023)
Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
Principled Gradient-based Markov Chain Monte Carlo for Text Generation. CoRR (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)
Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR (2023)
Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
On the Intersection of Context-Free and Regular Languages. EACL (2023)
Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
Toward Interactive Dictation. ACL (1) (2023)
Weiting Tan, Chu-Cheng Lin, Jason Eisner
Structure-Aware Path Inference for Neural Finite State Transducers. CoRR (2023)
Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner
Decision-Oriented Dialogue for Human-AI Collaboration. CoRR (2023)
Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner
Efficient Semiring-Weighted Earley Parsing. ACL (1) (2023)
Jason Eisner
Time-and-Space-Efficient Weighted Deduction. Trans. Assoc. Comput. Linguistics 11 (2023)
Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
Toward Interactive Dictation. CoRR (2023)
Hongyuan Mei, Chenghao Yang, Jason Eisner
Transformer Embeddings of Irregularly Spaced Events and Their Participants. ICLR (2022)
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. CoRR (2022)
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. EMNLP (2022)
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue. ACL (1) (2022)
Chenghao Yang, Hongyuan Mei, Jason Eisner
Transformer Embeddings of Irregularly Spaced Events and Their Participants. CoRR (2022)
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. CoRR (2022)
Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. EMNLP (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)
Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. CoRR (2022)
Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
On the Intersection of Context-Free and Regular Languages. CoRR (2022)
Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
A Measure-Theoretic Characterization of Tight Language Models. CoRR (2022)
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
Active Programming by Example with a Natural Language Prior. CoRR (2022)
Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner
Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR (2022)
Guanghui Qin, Jason Eisner
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. NAACL-HLT (2021)
Guanghui Qin, Jason Eisner
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. CoRR (2021)
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
Constrained Language Models Yield Few-Shot Semantic Parsers. CoRR (2021)
Tim Vieira, Ryan Cotterell, Jason Eisner
Searching for More Efficient Dynamic Programs. CoRR (2021)
Tim Vieira, Ryan Cotterell, Jason Eisner
Searching for More Efficient Dynamic Programs. EMNLP (Findings) (2021)
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
Constrained Language Models Yield Few-Shot Semantic Parsers. EMNLP (1) (2021)
Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner
Limitations of Autoregressive Models and Their Alternatives. NAACL-HLT (2021)
Xiang Lisa Li, Jason Eisner
Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract). IJCAI (2020)
Matthew Francis-Landau, Tim Vieira, Jason Eisner
Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations. CoRR (2020)
Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. ICML (2020)
Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner
Autoregressive Modeling is Misspecified for Some Sequence Distributions. CoRR (2020)
Hongyuan Mei, Tom Wan, Jason Eisner
Noise-Contrastive Estimation for Multivariate Point Processes. CoRR (2020)
Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
Task-Oriented Dialogue as Dataflow Synthesis. CoRR (2020)
Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. CoRR (2020)
Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner
A Corpus for Large-Scale Phonetic Typology. ACL (2020)
Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics 8 (2020)
Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner
A Corpus for Large-Scale Phonetic Typology. CoRR (2020)
Hongyuan Mei, Tom Wan, Jason Eisner
Noise-Contrastive Estimation for Multivariate Point Processes. NeurIPS (2020)
Adithya Renduchintala, Philipp Koehn, Jason Eisner
Simple Construction of Mixed-Language Texts for Vocabulary Learning. BEA@ACL (2019)
Xiang Lisa Li, Jason Eisner
Specializing Word Embeddings (for Parsing) by Information Bottleneck. CoRR (2019)
Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner
Neural Finite-State Transducers: Beyond Rational Relations. NAACL-HLT (1) (2019)
Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner
What Kind of Language Is Hard to Language-Model? CoRR (2019)
Hongyuan Mei, Guanghui Qin, Jason Eisner
Imputing Missing Events in Continuous-Time Event Streams. CoRR (2019)
Hongyuan Mei, Guanghui Qin, Jason Eisner
Imputing Missing Events in Continuous-Time Event Streams. ICML (2019)
Xiang Lisa Li, Dingquan Wang, Jason Eisner
A Generative Model for Punctuation in Dependency Trees. CoRR (2019)
S. J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner
What Kind of Language Is Hard to Language-Model? ACL (1) (2019)
Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner
On the Complexity and Typology of Inflectional Morphological Systems. Trans. Assoc. Comput. Linguistics 7 (2019)
Xiang Lisa Li, Jason Eisner
Specializing Word Embeddings (for Parsing) by Information Bottleneck. EMNLP/IJCNLP (1) (2019)
Xiang Lisa Li, Dingquan Wang, Jason Eisner
A Generative Model for Punctuation in Dependency Trees. Trans. Assoc. Comput. Linguistics 7 (2019)
Adithya Renduchintala, Philipp Koehn, Jason Eisner
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary. EMNLP/IJCNLP (1) (2019)
Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner
Contextualization of Morphological Inflection. NAACL-HLT (1) (2019)
S. J. Mielke, Jason Eisner
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. AAAI (2019)
Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner
Contextualization of Morphological Inflection. CoRR (2019)
Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, S. J. Mielke, Arya McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
UniMorph 2.0: Universal Morphology. LREC (2018)
Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner
On the Complexity and Typology of Inflectional Morphological Systems. CoRR (2018)
Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, S. J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoNLL Shared Task (1) (2018)
Chu-Cheng Lin, Jason Eisner
Neural Particle Smoothing for Sampling from Conditional Sequence Models. NAACL-HLT (2018)
Ryan Cotterell, Jason Eisner
A Deep Generative Model of Vowel Formant Typology. NAACL-HLT (2018)
Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark
Are All Languages Equally Hard to Language-Model? CoRR (2018)
Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, S. J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoRR (2018)
Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. CoRR (2018)
S. J. Mielke, Jason Eisner
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. CoRR (2018)
Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner
On the Diachronic Stability of Irregularity in Inflectional Morphology. CoRR (2018)
Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark
Are All Languages Equally Hard to Language-Model? NAACL-HLT (2) (2018)
Dingquan Wang, Jason Eisner
Surface Statistics of an Unknown Language Indicate How to Parse It. Trans. Assoc. Comput. Linguistics 6 (2018)
Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, S. J. Mielke, Arya D. McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
UniMorph 2.0: Universal Morphology. CoRR (2018)
Dingquan Wang, Jason Eisner
Synthetic Data Made to Order: The Case of Parsing. EMNLP (2018)
Chu-Cheng Lin, Jason Eisner
Neural Particle Smoothing for Sampling from Conditional Sequence Models. CoRR (2018)
Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. NAACL-HLT (2) (2018)
Ryan Cotterell, Jason Eisner
A Deep Generative Model of Vowel Formant Typology. CoRR (2018)
Dingquan Wang, Jason Eisner
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages. CoRR (2017)
Ryan Cotterell, Jason Eisner
Probabilistic Typology: Deep Generative Models of Vowel Inventories. CoRR (2017)
Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. CoRR (2017)
Tim Vieira, Jason Eisner
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing. Trans. Assoc. Comput. Linguistics 5 (2017)
Ryan Cotterell, Jason Eisner
Probabilistic Typology: Deep Generative Models of Vowel Inventories. ACL (1) (2017)
Adithya Renduchintala, Philipp Koehn, Jason Eisner
Knowledge Tracing in Sequential Learning of Inflected Vocabulary. CoNLL (2017)
Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) (2017)
Tim Vieira, Matthew Francis-Landau, Nathaniel Wesley Filardo, Farzad Khorasani, Jason Eisner
Dyna: toward a self-optimizing declarative language for machine learning applications. MAPL@PLDI (2017)

Jason Eisner.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jason Eisner