Andrew McCallum

xLM: A Python Package for Non-Autoregressive Language Models EACL 2026 A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings ICML 2025 Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching ICML 2024 Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval EMNLP 2024 A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks ICML 2024 Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation ACL 2024 Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ICLR 2024 Learning Representations for Hierarchies with Minimal Support NIPS 2024 Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024 Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024 Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023 Low-Resource Compositional Semantic Parsing with Concept Pretraining EACL 2023 Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling ACL 2023 KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals ACL 2023 Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023 Machine Reading Comprehension using Case-based Reasoning EMNLP 2023 PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023 KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals ICLR 2023 Longtonotes: OntoNotes with Longer Coreference Chains EACL 2023 Unsupervised Partial Sentence Matching for Cited Text Identification COLING 2022 Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings NIPS 2022 Structured Energy Network As a Loss NIPS 2022 Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning AUTOML 2022 An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity AAAI 2022 Sublinear Time Approximation of Text Similarity Matrices AAAI 2022 Entity Linking via Explicit Mention-Mention Coreference Modeling NAACL 2022 DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions NAACL 2022 Knowledge Base Question Answering by Case-based Reasoning over Subgraphs ICML 2022 Interactive Correlation Clustering with Existential Cluster Constraints ICML 2022 Modeling Label Space Interactions in Multi-label Classification using Box Embeddings ICLR 2022 Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings ACL 2022 Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions ACL 2022 Event-Event Relation Extraction using Probabilistic Box Embedding ACL 2022 Inducing and Using Alignments for Transition-based AMR Parsing NAACL 2022 You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM EMNLP 2022 Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022 Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models ACL 2021 MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ACL 2021 Long Document Summarization in a Low Resource Setting using Pretrained Language Models ACL 2021 Scaling Within Document Coreference to Long Texts ACL 2021 Knowledge Informed Semantic Parsing for Conversational Question Answering ACL 2021 Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations ACL 2021 Box-To-Box Transformations for Modeling Joint Hierarchies ACL 2021 Improved Latent Tree Induction with Distant Supervision via Span Constraints EMNLP 2021 Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NIPS 2021 Case-based Reasoning for Natural Language Queries over Knowledge Bases EMNLP 2021 Exact and approximate hierarchical clustering using A* UAI 2021 Min/max stability and box distributions UAI 2021 Knowledge Informed Semantic Parsing for Conversational Question Answering IJCNLP 2021 Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications AAAI 2021 Changing the Mind of Transformers for Topically-Controllable Language Generation EACL 2021 Box-To-Box Transformations for Modeling Joint Hierarchies IJCNLP 2021 Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models IJCNLP 2021 Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference IJCNLP 2021 MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network IJCNLP 2021 Long Document Summarization in a Low Resource Setting using Pretrained Language Models IJCNLP 2021 Modeling Fine-Grained Entity Types with Box Embeddings ACL 2021 Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ACL 2021 Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering AISTATS 2021 DAG-Structured Clustering by Nearest Neighbors AISTATS 2021 Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions EMNLP 2021 Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021 Clustering-based Inference for Biomedical Entity Linking NAACL 2021 Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning NAACL 2021 Scaling Within Document Coreference to Long Texts IJCNLP 2021 Modeling Fine-Grained Entity Types with Box Embeddings IJCNLP 2021 MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text EMNLP 2021 Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations IJCNLP 2021 Box Embeddings: An open-source library for representation learning using geometric structures EMNLP 2021 Multi-facet Universal Schema EACL 2021 Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision AAAI 2020 Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020 Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders EMNLP 2020 An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text EMNLP 2020 ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning EMNLP 2020 Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP 2020 Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020 Improving Local Identifiability in Probabilistic Box Embeddings NIPS 2020 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NIPS 2019 Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders IJCNLP 2019 A2N: Attending to Neighbors for Knowledge Graph Inference ACL 2019 Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019 The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures ACL 2019 Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders NAACL 2019 OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference NAACL 2019 Roll Call Vote Prediction with Knowledge Augmented Models CONLL 2019 Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications NAACL 2019 Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders EMNLP 2019 Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference EMNLP 2019 Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering EMNLP 2019 Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering ICLR 2019 Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension ICLR 2019 Smoothing the Geometry of Probabilistic Box Embeddings ICLR 2019 Supervised Hierarchical Clustering with Exponential Linkage ICML 2019 An Interface for Annotating Science Questions EMNLP 2018 Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection NAACL 2018 Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction NAACL 2018 Training Structured Prediction Energy Networks with Indirect Supervision NAACL 2018 Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings NAACL 2018 Embedded-State Latent Conditional Random Fields for Sequence Labeling CONLL 2018 Compact Representation of Uncertainty in Clustering NIPS 2018 Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets EMNLP 2018 Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ACL 2018 Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning ICLR 2018 Linguistically-Informed Self-Attention for Semantic Role Labeling EMNLP 2018 Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking ACL 2018 Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? ACL 2018 A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset ACL 2018 Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ACL 2017 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017 Fast and Accurate Entity Recognition with Iterated Dilated Convolutions EMNLP 2017 End-to-End Learning for Structured Prediction Energy Networks ICML 2017 SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications SEMEVAL 2017 Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema EACL 2017 Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks EACL 2017 Multilingual Relation Extraction using Compositional Universal Schema NAACL 2016 Structured Prediction Energy Networks ICML 2016 Learning Dynamic Feature Selection for Fast Sequential Prediction IJCNLP 2015 Compositional Vector Space Models for Knowledge Base Completion IJCNLP 2015 Compositional Vector Space Models for Knowledge Base Completion ACL 2015 Learning Dynamic Feature Selection for Fast Sequential Prediction ACL 2015 Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space EMNLP 2014 Lexicon Infused Phrase Embeddings for Named Entity Resolution CONLL 2014 Learning Soft Linear Constraints with Application to Citation Field Extraction ACL 2014 Transition-based Dependency Parsing with Selectional Branching ACL 2013 Dynamic Knowledge-Base Alignment for Coreference Resolution CONLL 2013 Relation Extraction with Matrix Factorization and Universal Schemas NAACL 2013 Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers CONLL 2012 MAP Inference in Chains using Column Generation NIPS 2012 A Discriminative Hierarchical Model for Fast Coreference at Large Scale ACL 2012 Unsupervised Relation Discovery with Sense Disambiguation ACL 2012 Monte Carlo MCMC: Efficient Inference by Approximate Sampling CONLL 2012 Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers EMNLP 2012 Monte Carlo MCMC: Efficient Inference by Approximate Sampling EMNLP 2012 Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models ACL 2011 Optimizing Semantic Coherence in Topic Models EMNLP 2011 Fast and Robust Joint Models for Biomedical Event Extraction EMNLP 2011 Query-Aware MCMC NIPS 2011 Structured Relation Discovery using Generative Models EMNLP 2011 Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010 Constraint-Driven Rank-Based Learning for Information Extraction NAACL 2010 Collective Cross-Document Relation Extraction Without Labelled Data EMNLP 2010 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009 Polylingual Topic Models EMNLP 2009 Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment EMNLP 2009 Active Learning by Labeling Features EMNLP 2009 Rethinking LDA: Why Priors Matter NIPS 2009 Joint Inference for Natural Language Processing CONLL 2009 Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria ACL 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009 Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria IJCNLP 2009 Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields ACL 2008 First-Order Probabilistic Models for Coreference Resolution NAACL 2007 Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields NAACL 2007 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007 Learning Field Compatibilities to Extract Database Records from Unstructured Text EMNLP 2006 Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text NAACL 2006 Reducing Weight Undertraining in Structured Discriminative Learning NAACL 2006 Joint Parsing and Semantic Role Labeling CONLL 2005 Composition of Conditional Random Fields for Transfer Learning EMNLP 2005 Chinese Segmentation and New Word Detection using Conditional Random Fields COLING 2004 Accurate Information Extraction from Research Papers using Conditional Random Fields NAACL 2004 Confidence Estimation for Information Extraction NAACL 2004 Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons CONLL 2003