Jason Eisner

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 “Annotator 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