← Authors

Jason Eisner

117 papers · 2000–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (25) 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (26) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (29) 🌟 Keyword Trendsetter Combo (5) 🐺 Lone Wolf (8) 🀝 Dynamic Duo (24) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (50) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (24) πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ’Ž Century Club (116) ❓ The Questioner (5)

Conferences

ACL (36) EMNLP (29) NAACL (20) CONLL (7) COLING (5) IJCNLP (4) NIPS (4) EACL (3) ICML (3) ICLR (2) AAAI (1) AISTATS (1) IJCAI (1) INTERSPEECH (1)

Top co-authors

Ryan Cotterell (24) Benjamin Van Durme (13) Philipp Koehn (7) Adithya Renduchintala (7) Matthew R. Gormley (6) Sanjeev Khudanpur (6) Noah A. Smith (6) Tim Vieira (6) Sam Thomson (6) Richard Shin (5)

Research topics

Linguistics (2) Education (2) Reinforcement Learning (1) Statistics (1)

Keywords

language model (8) semantic parsing (7) syntactic parsing (5) large language model (5) word embedding (5) natural language understanding (4) representation learning (4) reinforcement learning (3) probabilistic modeling (3) in-context learning (3) dialogue system (3) language modeling (3) foreign language learning (3) recurrent neural network (3) information bottleneck (3) synthetic data generation (3) variational inference (2) task-oriented dialogue (2) imitation learning (2) policy learning (2)

Papers

LLMs Know More About Numbers than They Can Say EACL 2026
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo ICLR 2025
MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools NAACL 2025
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts ACL 2024
Do Androids Know They’re Only Dreaming of Electric Sheep? ACL 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia ACL 2024
Interpreting User Requests in the Context of Natural Language Standing Instructions NAACL 2024
Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024
When is a Language Process a Language Model? ACL 2024
Principled Gradient-Based MCMC for Conditional Sampling of Text ICML 2024
Language-to-Code Translation with a Single Labeled Example EMNLP 2024
Toward Interactive Dictation ACL 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding ACL 2023
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL EMNLP 2023
On the Intersection of Context-Free and Regular Languages EACL 2023
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing NIPS 2023
Unsupervised Code-switched Text Generation from Parallel Text INTERSPEECH 2023
Efficient Semiring-Weighted Earley Parsing ACL 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers ACL 2023
A Measure-Theoretic Characterization of Tight Language Models ACL 2023
Contrastive Decoding: Open-ended Text Generation as Optimization ACL 2023
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue ACL 2022
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs EMNLP 2022
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems EMNLP 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants ICLR 2022
Searching for More Efficient Dynamic Programs EMNLP 2021
Limitations of Autoregressive Models and Their Alternatives NAACL 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts NAACL 2021
Constrained Language Models Yield Few-Shot Semantic Parsers EMNLP 2021
A Corpus for Large-Scale Phonetic Typology ACL 2020
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification ICML 2020
Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract) IJCAI 2020
Noise-Contrastive Estimation for Multivariate Point Processes NIPS 2020
Specializing Word Embeddings (for Parsing) by Information Bottleneck EMNLP 2019
Contextualization of Morphological Inflection NAACL 2019
Neural Finite-State Transducers: Beyond Rational Relations NAACL 2019
Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges ACL 2019
What Kind of Language Is Hard to Language-Model? ACL 2019
Simple Construction of Mixed-Language Texts for Vocabulary Learning ACL 2019
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary IJCNLP 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck IJCNLP 2019
Imputing Missing Events in Continuous-Time Event Streams ICML 2019
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary EMNLP 2019
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model AAAI 2019
Synthetic Data Made to Order: The Case of Parsing EMNLP 2018
Unsupervised Disambiguation of Syncretism in Inflected Lexicons NAACL 2018
The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection CONLL 2018
Are All Languages Equally Hard to Language-Model? NAACL 2018
Neural Particle Smoothing for Sampling from Conditional Sequence Models NAACL 2018
A Deep Generative Model of Vowel Formant Typology NAACL 2018
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017
Knowledge Tracing in Sequential Learning of Inflected Vocabulary CONLL 2017
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages CONLL 2017
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis EACL 2017
Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity EMNLP 2016
Creating Interactive Macaronic Interfaces for Language Learning ACL 2016
User Modeling in Language Learning with Macaronic Texts ACL 2016
Analyzing Learner Understanding of Novel L2 Vocabulary CONLL 2016
Morphological Smoothing and Extrapolation of Word Embeddings ACL 2016
Weighting Finite-State Transductions With Neural Context NAACL 2016
Structured Belief Propagation for NLP ACL 2015
Structured Belief Propagation for NLP IJCNLP 2015
Dual Decomposition Inference for Graphical Models over Strings EMNLP 2015
Penalized Expectation Propagation for Graphical Models over Strings NAACL 2015
Robust Entity Clustering via Phylogenetic Inference ACL 2014
Stochastic Contextual Edit Distance and Probabilistic FSTs ACL 2014
Structured Belief Propagation for NLP ACL 2014
Dynamic Feature Selection for Dependency Parsing EMNLP 2013
Nonconvex Global Optimization for Latent-Variable Models ACL 2013
Imitation Learning by Coaching NIPS 2012
Learned Prioritization for Trading Off Accuracy and Speed NIPS 2012
Easy-first Coreference Resolution COLING 2012
Name Phylogeny: A Generative Model of String Variation CONLL 2012
Name Phylogeny: A Generative Model of String Variation EMNLP 2012
Minimum-Risk Training of Approximate CRF-Based NLP Systems NAACL 2012
Unsupervised Learning on an Approximate Corpus NAACL 2012
Implicitly Intersecting Weighted Automata using Dual Decomposition NAACL 2012
Shared Components Topic Models NAACL 2012
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure AISTATS 2011
Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model EMNLP 2011
Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation EMNLP 2011
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets COLING 2010
Graphical Models over Multiple Strings EMNLP 2009
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests EMNLP 2009
Variational Decoding for Statistical Machine Translation IJCNLP 2009
Variational Decoding for Statistical Machine Translation ACL 2009
Learning Linear Ordering Problems for Better Translation EMNLP 2009
Parser Adaptation and Projection with Quasi-Synchronous Grammar Features EMNLP 2009
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales EMNLP 2008
Machine Translation System Combination using ITG-based Alignments ACL 2008
Dependency Parsing by Belief Propagation EMNLP 2008
Latent-Variable Modeling of String Transductions with Finite-State Methods EMNLP 2008
Cross-Instance Tuning of Unsupervised Document Clustering Algorithms NAACL 2007
Using β€œAnnotator Rationales” to Improve Machine Learning for Text Categorization NAACL 2007
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) CONLL 2007
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors EMNLP 2007
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) EMNLP 2007
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors CONLL 2007
Minimum Risk Annealing for Training Log-Linear Models ACL 2006
Annealing Structural Bias in Multilingual Weighted Grammar Induction COLING 2006
Minimum Risk Annealing for Training Log-Linear Models COLING 2006
Better Informed Training of Latent Syntactic Features EMNLP 2006
A fast finite-state relaxation method for enforcing global constraints on sequence decoding NAACL 2006
Annealing Structural Bias in Multilingual Weighted Grammar Induction ACL 2006
Contrastive Estimation: Training Log-Linear Models on Unlabeled Data ACL 2005
Bootstrapping Without the Boot EMNLP 2005
Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language EMNLP 2005
Dyna: A Language for Weighted Dynamic Programming ACL 2004
Annealing Techniques For Unsupervised Statistical Language Learning ACL 2004
Learning Non-Isomorphic Tree Mappings for Machine Translation ACL 2003
Simpler and More General Minimization for Weighted Finite-State Automata NAACL 2003
Parameter Estimation for Probabilistic Finite-State Transducers ACL 2002
Phonological Comprehension and the Compilation of Optimality Theory ACL 2002
Transformational Priors Over Grammars EMNLP 2002
Directional Constraint Evaluation in Optimality Theory COLING 2000