George Karypis

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents ICLR 2025 AutoG: Towards automatic graph construction from tabular data ICLR 2025 Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models ACL 2025 BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering EMNLP 2025 GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs ACL 2025 Open Materials Generation with Stochastic Interpolants ICML 2025 PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS ICML 2025 Understanding Silent Data Corruption in LLM Training ACL 2025 AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models AutoML 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 Differentially Private Bias-Term Fine-tuning of Foundation Models ICML 2024 Extending Input Contexts of Language Models through Training on Segmented Sequences NAACL 2024 Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024 Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification EMNLP 2024 Learning to Generate Answers with Citations via Factual Consistency Models ACL 2024 Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space ICLR 2024 OpenTab: Advancing Large Language Models as Open-domain Table Reasoners ICLR 2024 Pre-training Differentially Private Models with Limited Public Data NeurIPS 2024 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NeurIPS 2023 Automatic Table Union Search with Tabular Representation Learning ACL 2023 Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion AAAI 2023 Differentially Private Optimization on Large Model at Small Cost ICML 2023 HyTrel: Hypergraph-enhanced Tabular Data Representation Learning NeurIPS 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs NeurIPS 2023 NameGuess: Column Name Expansion for Tabular Data EMNLP 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information ICLR 2023 STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK ICLR 2023 XTab: Cross-table Pretraining for Tabular Transformers ICML 2023 Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning NAACL 2022 Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties NeurIPS 2022 Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback AISTATS 2022 Meta-learning via Language Model In-context Tuning ACL 2022 ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs EMNLP 2022 TempoQR: Temporal Question Reasoning over Knowledge Graphs AAAI 2022 Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing EMNLP 2021 Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics EMNLP 2021 CAWA: An Attention-Network for Credit Attribution AAAI 2020 Multi-task Learning for Recommender System ACML 2010