George Karypis
38 papers · 2010–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(10)
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(4)
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Trend Setter
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Conference Pioneer
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Unstoppable
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Prolific Year
(10)
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Century Club
(38)
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Keyword Collector
(149)
Conferences
ACL (7)
EMNLP (7)
ICLR (6)
ICML (5)
NIPS (5)
AAAI (3)
NAACL (2)
ACML (1)
AISTATS (1)
AUTOML (1)
Top co-authors
Research topics
Keywords
large language model
(6)
transfer learning
(5)
knowledge graph question answering
(4)
multi-task learning
(4)
differential privacy
(3)
retrieval-augmented generation
(3)
language model
(3)
text classification
(3)
code language model
(2)
few-shot learning
(2)
knowledge graph
(2)
code completion
(2)
question answering
(2)
distant supervision
(2)
self-supervised learning
(2)
in-context learning
(2)
program synthesis
(2)
information retrieval
(2)
gradient clipping
(2)
graph neural network
(2)
Papers
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
ACL 2025
GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs
ACL 2025
Understanding Silent Data Corruption in LLM Training
ACL 2025
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
EMNLP 2025
Open Materials Generation with Stochastic Interpolants
ICML 2025
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
ICLR 2025
AutoG: Towards automatic graph construction from tabular data
ICLR 2025
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
ICML 2025
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
ICLR 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
AUTOML 2024
Extending Input Contexts of Language Models through Training on Segmented Sequences
NAACL 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness
ACL 2024
Learning to Generate Answers with Citations via Factual Consistency Models
ACL 2024
Differentially Private Bias-Term Fine-tuning of Foundation Models
ICML 2024
Pre-training Differentially Private Models with Limited Public Data
NIPS 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
EMNLP 2024
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
ICLR 2024
XTab: Cross-table Pretraining for Tabular Transformers
ICML 2023
STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
ICLR 2023
Differentially Private Optimization on Large Model at Small Cost
ICML 2023
NameGuess: Column Name Expansion for Tabular Data
EMNLP 2023
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
ICLR 2023
Automatic Table Union Search with Tabular Representation Learning
ACL 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs
NIPS 2023
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI 2023
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NIPS 2023
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
NIPS 2023
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
NIPS 2022
TempoQR: Temporal Question Reasoning over Knowledge Graphs
AAAI 2022
Meta-learning via Language Model In-context Tuning
ACL 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
AISTATS 2022
ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
EMNLP 2022
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
NAACL 2022
Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics
EMNLP 2021
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
EMNLP 2021
CAWA: An Attention-Network for Credit Attribution
AAAI 2020
Multi-task Learning for Recommender System
ACML 2010