Nicholas Monath
32 papers · 2018–2025 · 12 venues · across top CS/AI venues
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Achievements
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(23)
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(6)
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(153)
Venues
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Research topics
Machine Learning
(25)
Core Methods
(21)
Natural Language Processing
(11)
Application Areas
(8)
Artificial Intelligence
(7)
Mathematics & Optimization
(7)
Core AI
(7)
Deep Learning
(6)
Optimization & Theory
(6)
Data Science & Analytics
(5)
Applications Β· Natural Language Processing
(5)
Understanding
(5)
Applications Β· Data Science & Analytics
(4)
Mathematics
(4)
Optimization
(4)
Keywords
hierarchical clustering
(5)
knowledge base
(3)
cur decomposition
(3)
information retrieval
(3)
matrix factorization
(3)
coreference resolution
(3)
representation learning
(3)
large language model
(3)
concept erasure
(2)
combinatorial optimization
(2)
knowledge graph
(2)
dual encoder
(2)
uncertainty quantification
(2)
retrieval-augmented generation
(2)
probabilistic modeling
(2)
exact inference
(2)
nearest neighbor search
(2)
partition function
(2)
named entity recognition
(2)
dynamic programming
(2)
Papers
Fundamental Limits of Perfect Concept Erasure
AISTATS 2025
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs
EMNLP 2025
SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning
ACL 2025
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
ICLR 2024
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
ICML 2024
Analysis of Plan-based Retrieval for Grounded Text Generation
EMNLP 2024
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
ICLR 2024
Sequence Reducible Holdout Loss for Language Model Pretraining
COLING 2024
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition
EMNLP 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
AISTATS 2023
Longtonotes: OntoNotes with Longer Coreference Chains
EACL 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
NeurIPS 2023
Unsupervised Opinion Summarization Using Approximate Geodesics
EMNLP 2023
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
AAAI 2022
Autoregressive Structured Prediction with Language Models
EMNLP 2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
EMNLP 2022
Entity Linking via Explicit Mention-Mention Coreference Modeling
NAACL 2022
Interactive Correlation Clustering with Existential Cluster Constraints
ICML 2022
Sublinear Time Approximation of Text Similarity Matrices
AAAI 2022
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
NeurIPS 2021
Clustering-based Inference for Biomedical Entity Linking
NAACL 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
Exact and approximate hierarchical clustering using A*
UAI 2021
Knowledge Informed Semantic Parsing for Conversational Question Answering
ACL 2021
Scaling Within Document Coreference to Long Texts
ACL 2021
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
EMNLP 2020
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
ACL 2019
Supervised Hierarchical Clustering with Exponential Linkage
ICML 2019
Compact Representation of Uncertainty in Clustering
NeurIPS 2018
Play Duration Based User-Entity Affinity Modeling in Spoken Dialog System
Interspeech 2018