Andrew McCallum

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 236

Top Venues

Publications

Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. CoRR (2024)
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Li
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. ACL (1) (2024)
Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. WSDM (2024)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. CoRR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. 2024 (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. CoRR (2024)
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation. ACL (1) (2024)
Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum
Interactive Topic Models with Optimal Transport. CoRR (2024)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. ICLR (2024)
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. AISTATS (2023)
Ronald Seoh, Haw-Shiuan Chang, Andrew McCallum
Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens. CoRR (2023)
Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. ACL (1) (2023)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR (2023)
Shib Sankar Dasgupta, Andrew McCallum, Steffen Rendle, Li Zhang
Answering Compositional Queries with Set-Theoretic Embeddings. CoRR (2023)
Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum
Low-Resource Compositional Semantic Parsing with Concept Pretraining. EACL (2023)
Rico Angell, Andrew McCallum
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching. CoRR (2023)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. SustaiNLP (2023)
Sheshera Mysore, Andrew McCallum, Hamed Zamani
Large Language Model Augmented Narrative Driven Recommendations. CoRR (2023)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition. EMNLP (Findings) (2023)
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. ACL (Findings) (2023)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) (2023)
Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani
Editable User Profiles for Controllable Text Recommendation. CoRR (2023)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) (2023)
Raymond Zhang, Neha Nayak Kennard, Daniel Smith, Daniel McFarland, Andrew McCallum, Katherine Keith
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. ACL (Findings) (2023)
Subendhu Rongali, Mukund Harakere Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum
Low-Resource Compositional Semantic Parsing with Concept Pretraining. CoRR (2023)
Sheshera Mysore, Andrew McCallum, Hamed Zamani
Large Language Model Augmented Narrative Driven Recommendations. RecSys (2023)
Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. CoRR (2023)
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
Multistage Collaborative Knowledge Distillation from Large Language Models. CoRR (2023)
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. CoRR (2023)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders. CoRR (2023)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
Machine Reading Comprehension using Case-based Reasoning. CoRR (2023)
Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani
Editable User Profiles for Controllable Text Recommendations. SIGIR (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. ICLR (2023)
Nicholas Monath, Manzil Zaheer, Andrew McCallum
Online Level-wise Hierarchical Clustering. KDD (2023)
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. CoRR (2023)
Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning. AutoML (2022)
Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum
Interactive Correlation Clustering with Existential Cluster Constraints. ICML (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. EMNLP (2022)
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. ICML (2022)
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco
Sublinear Time Approximation of Text Similarity Matrices. AAAI (2022)
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo
Inducing and Using Alignments for Transition-based AMR Parsing. NAACL-HLT (2022)
Dongxu Zhang, Sunil Mohan, Michaela Torkar, Andrew McCallum
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes. CoRR (2022)
Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings. ACL (1) (2022)
EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum
Event-Event Relation Extraction using Probabilistic Box Embedding. ACL (2) (2022)
Dongxu Zhang, Sunil Mohan, Michaela Torkar, Andrew McCallum
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes. LREC (2022)
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
Entity Linking via Explicit Mention-Mention Coreference Modeling. NAACL-HLT (2022)
Kathryn Ricci, Haw-Shiuan Chang, Purujit Goyal, Andrew McCallum
Unsupervised Partial Sentence Matching for Cited Text Identification. SDP@COLING (2022)
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. CoRR (2022)
Jui Shah, Dongxu Zhang, Sam Brody, Andrew McCallum
Enhanced Distant Supervision with State-Change Information for Relation Extraction. LREC (2022)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. CoRR (2022)
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo
Inducing and Using Alignments for Transition-based AMR Parsing. CoRR (2022)
Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM. CoRR (2022)
Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings. ICLR (2022)
Dongxu Zhang, Michael Boratko, Cameron Musco, Andrew McCallum
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings. NeurIPS (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. CoRR (2022)
Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti
Augmenting Scientific Creativity with Retrieval across Knowledge Domains. CoRR (2022)
Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum
DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions. NAACL-HLT (2022)
Haw-Shiuan Chang, Andrew McCallum
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions. ACL (1) (2022)
Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. CoRR (2022)
Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR (2022)
Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. AAAI (2022)
Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer
You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM. EMNLP (Findings) (2022)
Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum
Structured Energy Network As a Loss. NeurIPS (2022)
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
Box Embeddings: An open-source library for representation learning using geometric structures. EMNLP (Demos) (2021)
Sebastian Macaluso, Craig S. Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering. AISTATS (2021)
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
Low resource recognition and linking of biomedical concepts from a large ontology. BCB (2021)
Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Hierarchical Agglomerative Clustering. KDD (2021)
Dung Thai, Raghuveer Thirukovalluru, Trapit Bansal, Andrew McCallum
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations. RepL4NLP@ACL-IJCNLP (2021)
Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. NeurIPS Datasets and Benchmarks (2021)
Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. AAAI (2021)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
Case-based Reasoning for Natural Language Queries over Knowledge Bases. CoRR (2021)
Raghuveer Thirukovalluru, Mukund Sridhar, Dung Thai, Shruti Chanumolu, Nicholas Monath, Sankaranarayanan Ananthakrishnan, Andrew McCallum
Knowledge Informed Semantic Parsing for Conversational Question Answering. RepL4NLP@ACL-IJCNLP (2021)
Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum
Improved Latent Tree Induction with Distant Supervision via Span Constraints. EMNLP (1) (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and approximate hierarchical clustering using A. UAI (2021)
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum
Multi-facet Universal Schema. EACL (2021)
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
Clustering-based Inference for Biomedical Entity Linking. NAACL-HLT (2021)
Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. CoRR (2021)
Trapit Bansal, Karthick Prasad Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. EMNLP (1) (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR (2021)
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
Entity Linking and Discovery via Arborescence-based Supervised Clustering. CoRR (2021)
Nicholas FitzGerald, Jan A. Botha, Daniel Gillick, Daniel M. Bikel, Tom Kwiatkowski, Andrew McCallum
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network. CoRR (2021)
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
Box Embeddings: An open-source library for representation learning using geometric structures. CoRR (2021)
Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. CoRR (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and Approximate Hierarchical Clustering Using A. CoRR (2021)
Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum
Box-To-Box Transformations for Modeling Joint Hierarchies. RepL4NLP@ACL-IJCNLP (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) (2021)
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum
Multi-facet Universal Schema. CoRR (2021)
Nicholas FitzGerald, Daniel M. Bikel, Jan A. Botha, Daniel Gillick, Tom Kwiatkowski, Andrew McCallum
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network. ACL/IJCNLP (2) (2021)
Tim O'Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. EMNLP (1) (2021)
Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer, Andrew McCallum
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. ACL/IJCNLP (1) (2021)
Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) (2021)
Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs. NeurIPS (2021)
Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum
Min/max stability and box distributions. UAI (2021)
Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum
Word2Box: Learning Word Representation Using Box Embeddings. CoRR (2021)
Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. CoRR (2021)
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco
Sublinear Time Approximation of Text Similarity Matrices. CoRR (2021)
Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum
Improved Latent Tree Induction with Distant Supervision via Span Constraints. CoRR (2021)
Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum
DAG-Structured Clustering by Nearest Neighbors. AISTATS (2021)
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew McCallum