Nicholas Monath

76 papers A* 18A 6B 1Journal 31Unranked 20
YearRankTypeTitle / Venue / Authors
2025 A conf
Fundamental Limits of Perfect Concept Erasure.
AISTATS
Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025 J jnl
Fundamental Limits of Perfect Concept Erasure.
CoRR
Somnath Basu Roy Chowdhury, Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025 A* conf
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs.
EMNLP
Dulhan Jayalath, James Bradley Wendt, Nicholas Monath, Sandeep Tata, Beliz Gunel
2025 — conf
SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning.
ACL (Findings)
Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
2024 A* conf
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks.
ICML
Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024 J jnl
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks.
CoRR
Nicholas Monath, Will Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024 A* conf
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders.
ICLR
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
2024 J jnl
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders.
CoRR
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
2024 A* conf
Analysis of Plan-based Retrieval for Grounded Text Generation.
EMNLP
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024 J jnl
Analysis of Plan-based Retrieval for Grounded Text Generation.
CoRR
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024 A* conf
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
ICLR
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2024 J jnl
Incremental Extractive Opinion Summarization Using Cover Trees.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024 J jnl
Incremental Extractive Opinion Summarization Using Cover Trees.
Trans. Mach. Learn. Res.
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024 J jnl
Long-Range Tasks Using Short-Context LLMs: Incremental Reasoning With Structured Memories.
CoRR
Dulhan Jayalath, James Bradley Wendt, Nicholas Monath, Sandeep Tata, Beliz Gunel
2024 J jnl
SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning.
CoRR
Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
2024 — conf
Sequence Reducible Holdout Loss for Language Model Pretraining.
LREC/COLING
Raghuveer Thirukovalluru, Nicholas Monath, Bhuwan Dhingra, Sam Wiseman
2023 J jnl
Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders.
CoRR
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023 — conf
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition.
EMNLP (Findings)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023 J jnl
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023 A conf
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining.
AISTATS
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
2023 J jnl
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining.
CoRR
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
2023 — conf
Longtonotes: OntoNotes with Longer Coreference Chains.
EACL (Findings)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
2023 A* conf
Online Level-wise Hierarchical Clustering.
KDD
Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023 A* conf
Robust Concept Erasure via Kernelized Rate-Distortion Maximization.
NeurIPS
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023 J jnl
Robust Concept Erasure via Kernelized Rate-Distortion Maximization.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023 — conf
Unsupervised Opinion Summarization Using Approximate Geodesics.
EMNLP (Findings)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2022 A* conf
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity.
AAAI
Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
2022 — conf
Autoregressive Structured Prediction with Language Models.
EMNLP (Findings)
Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
2022 J jnl
Autoregressive Structured Prediction with Language Models.
CoRR
Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
2022 A* conf
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
EMNLP
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
2022 J jnl
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
CoRR
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
2022 — conf
Entity Linking via Explicit Mention-Mention Coreference Modeling.
NAACL-HLT
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
2022 A* conf
Interactive Correlation Clustering with Existential Cluster Constraints.
ICML
Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum
2022 J jnl
Longtonotes: OntoNotes with Longer Coreference Chains.
CoRR
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
2022 A* conf
Sublinear Time Approximation of Text Similarity Matrices.
AAAI
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco
2022 J jnl
Unsupervised Opinion Summarization Using Approximate Geodesics.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2021 A* conf
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs.
NeurIPS
Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum
2021 A conf
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.
AISTATS
Sebastian Macaluso, Craig S. Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
2021 — conf
Clustering-based Inference for Biomedical Entity Linking.
NAACL-HLT
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
2021 A conf
DAG-Structured Clustering by Nearest Neighbors.
AISTATS
Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum
2021 J jnl
Entity Linking and Discovery via Arborescence-based Supervised Clustering.
CoRR
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
2021 J jnl
Exact and Approximate Hierarchical Clustering Using A.
CoRR
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021 A conf
Exact and approximate hierarchical clustering using A.
UAI
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021 — conf
Knowledge Informed Semantic Parsing for Conversational Question Answering.
RepL4NLP@ACL-IJCNLP
Raghuveer Thirukovalluru, Mukund Sridhar, Dung Thai, Shruti Chanumolu, Nicholas Monath, Sankaranarayanan Ananthakrishnan, Andrew McCallum
2021 J jnl
Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology.
CoRR
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
2021 — conf
Low resource recognition and linking of biomedical concepts from a large ontology.
BCB
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
2021 J jnl
Model-Agnostic Graph Regularization for Few-Shot Learning.
CoRR
Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec
2021 A* conf
Scalable Hierarchical Agglomerative Clustering.
KDD
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
2021 — conf
Scaling Within Document Coreference to Long Texts.
ACL/IJCNLP (Findings)
Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
2021 J jnl
Sublinear Time Approximation of Text Similarity Matrices.
CoRR
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco
2020 J jnl
Clustering-based Inference for Zero-Shot Biomedical Entity Linking.
CoRR
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
2020 J jnl
Compact Representation of Uncertainty in Hierarchical Clustering.
CoRR
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
2020 — conf
Predicting Institution Hierarchies with Set-based Models.
AKBC
Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum
2020 J jnl
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.
CoRR
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020 — conf
Probabilistic Case-based Reasoning in Knowledge Bases.
EMNLP (Findings)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020 J jnl
Scalable Bottom-Up Hierarchical Clustering.
CoRR
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
2020 J jnl
Scalable Hierarchical Clustering with Tree Grafting.
CoRR
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum
2020 — conf
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction.
AKBC
Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum
2020 J jnl
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction.
CoRR
Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum
2019 A* conf
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.
KDD
Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed
2019 — conf
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction.
AKBC
Ari Kobren, Nicholas Monath, Andrew McCallum
2019 — conf
Optimal Transport-based Alignment of Learned Character Representations for String Similarity.
ACL (1)
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2019 J jnl
Optimal Transport-based Alignment of Learned Character Representations for String Similarity.
CoRR
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2019 A* conf
Scalable Hierarchical Clustering with Tree Grafting.
KDD
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum
2019 A* conf
Supervised Hierarchical Clustering with Exponential Linkage.
ICML
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum
2019 J jnl
Supervised Hierarchical Clustering with Exponential Linkage.
CoRR
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum
2018 A* conf
Compact Representation of Uncertainty in Clustering.
NeurIPS
Craig S. Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
2018 A conf
Play Duration Based User-Entity Affinity Modeling in Spoken Dialog System.
INTERSPEECH
Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, Abishek Ravi
2018 J jnl
Play Duration based User-Entity Affinity Modeling in Spoken Dialog System.
CoRR
Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, Abishek Ravi
2017 A* conf
A Hierarchical Algorithm for Extreme Clustering.
KDD
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum
2017 J jnl
An Online Hierarchical Algorithm for Extreme Clustering.
CoRR
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum
2017 — conf
Entity-centric Attribute Feedback for Interactive Knowledge Bases.
AKBC@NIPS
Ari Kobren, Nicholas Monath, Andrew McCallum
2017 — conf
Learning String Alignments for Entity Aliases.
AKBC@NIPS
Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum
2016 — conf
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
TAC
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum
2015 — conf
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
TAC
Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum
2013 B conf
Compression of Optimal Value Functions for Markov Decision Processes.
DCC
Mykel J. Kochenderfer, Nicholas Monath