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George Karypis

38 papers · 2010–2025 · 10 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (15) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (6) ⚑ Prolific Year (10) πŸ’Ž Century Club (38) πŸ—ƒοΈ Keyword Collector (149)

Conferences

ACL (7) EMNLP (7) ICLR (6) ICML (5) NIPS (5) AAAI (3) NAACL (2) ACML (1) AISTATS (1) AUTOML (1)

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