From Demonstrations to Rewards: Alignment Without Explicit Human Preferences

Authors: Zeng, Siliang, Liu, Yao, Rangwala, Huzefa, Karypis, George, Hong, Mingyi, Fakoor, Rasool

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2503.13538

Protein Structure Tokenization: Benchmarking and New Recipe

Authors: Yuan, Xinyu, Wang, Zichen, Collins, Marcus, Rangwala, Huzefa

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.00089

CoddLLM: Empowering Large Language Models for Data Analytics

Authors: Zhang, Jiani, Zhang, Hengrui, Chakravarti, Rishav, Hu, Yiqun, Ng, Patrick, Katsifodimos, Asterios, Rangwala, Huzefa, Karypis, George, Halevy, Alon

Subject Terms: Computer Science - Databases, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2502.00329

AutoG: Towards automatic graph construction from tabular data

Authors: Chen, Zhikai, Xie, Han, Zhang, Jian, song, Xiang, Tang, Jiliang, Rangwala, Huzefa, Karypis, George

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2501.15282

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases

Authors: Lee, Meng-Chieh, Zhu, Qi, Mavromatis, Costas, Han, Zhen, Adeshina, Soji, Ioannidis, Vassilis N., Rangwala, Huzefa, Faloutsos, Christos

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval

Access URL: http://arxiv.org/abs/2412.16311

DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository?

Authors: Lou, Yuze, Lei, Chuan, Qin, Xiao, Wang, Zichen, Faloutsos, Christos, Anubhai, Rishita, Rangwala, Huzefa

Source: 2024 IEEE 40th International Conference on Data Engineering (ICDE) ICDE Data Engineering (ICDE), 2024 IEEE 40th International Conference on. :5170-5176 May, 2024

Relation: 2024 IEEE 40th International Conference on Data Engineering (ICDE)

Long-context Protein Language Model

Authors: Wang, Yingheng, Wang, Zichen, Sadeh, Gil, Zancato, Luca, Achille, Alessandro, Karypis, George, Rangwala, Huzefa

Subject Terms: Quantitative Biology - Biomolecules, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2411.08909

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer

Authors: Pengmei, Zihan, Shen, Zhengyuan, Wang, Zichen, Collins, Marcus, Rangwala, Huzefa

Subject Terms: Computer Science - Machine Learning, Physics - Chemical Physics

Access URL: http://arxiv.org/abs/2410.21683

DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification

Authors: Han, Xiaoxue, Rangwala, Huzefa, Ning, Yue

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.20295

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens

Authors: Cen, Zhepeng, Liu, Yao, Zeng, Siliang, Chaudhari, Pratik, Rangwala, Huzefa, Karypis, George, Fakoor, Rasool

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.14655

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents

Authors: Yang, Ke, Liu, Yao, Chaudhary, Sapana, Fakoor, Rasool, Chaudhari, Pratik, Karypis, George, Rangwala, Huzefa

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2410.13825

Learning Analytics Tools in Higher Education: Adoption at the Intersection of Institutional Commitment and Individual Action

Authors: Klein, Carrie, Lester, Jaime, Rangwala, Huzefa, Johri, Aditya

Source: The Review of Higher Education. 42(2):565-593

Availability: https://muse.jhu.edu/article/712608

FeatNavigator: Automatic Feature Augmentation on Tabular Data

Authors: Liang, Jiaming, Lei, Chuan, Qin, Xiao, Zhang, Jiani, Katsifodimos, Asterios, Faloutsos, Christos, Rangwala, Huzefa

Subject Terms: Computer Science - Databases, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2406.09534

GraphStorm: all-in-one graph machine learning framework for industry applications

Authors: Zheng, Da, Song, Xiang, Zhu, Qi, Zhang, Jian, Vasiloudis, Theodore, Ma, Runjie, Zhang, Houyu, Wang, Zichen, Adeshina, Soji, Nisa, Israt, Mottini, Alejandro, Cui, Qingjun, Rangwala, Huzefa, Zeng, Belinda, Faloutsos, Christos, Karypis, George

Source: KDD 2024

Subject Terms: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing

Access URL: http://arxiv.org/abs/2406.06022

DispaRisk: Auditing Fairness Through Usable Information

Authors: Vasquez, Jonathan, Domeniconi, Carlotta, Rangwala, Huzefa

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2405.12372

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

Authors: Kong, Kezhi, Zhang, Jiani, Shen, Zhengyuan, Srinivasan, Balasubramaniam, Lei, Chuan, Faloutsos, Christos, Rangwala, Huzefa, Karypis, George

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2402.14361

GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources

Authors: Acharya, Angeela, Sikdar, Siddhartha, Das, Sanmay, Rangwala, Huzefa

Source: 2022 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2022 IEEE International Conference on. :685-692 Dec, 2022

Relation: 2022 IEEE International Conference on Big Data (Big Data)

Cross-Lingual Text Classification of Transliterated Hindi and Malayalam

Authors: Krishnan, Jitin, Anastasopoulos, Antonios, Purohit, Hemant, Rangwala, Huzefa

Source: 2022 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2022 IEEE International Conference on. :1850-1857 Dec, 2022

Relation: 2022 IEEE International Conference on Big Data (Big Data)

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning

Authors: Deng, Songgaojun, Rangwala, Huzefa, Ning, Yue

Source: 2022 IEEE International Conference on Data Mining (ICDM) ICDM Data Mining (ICDM), 2022 IEEE International Conference on. :91-100 Nov, 2022

Relation: 2022 IEEE International Conference on Data Mining (ICDM)

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Authors: Mavromatis, Costas, Srinivasan, Balasubramaniam, Shen, Zhengyuan, Zhang, Jiani, Rangwala, Huzefa, Faloutsos, Christos, Karypis, George

Subject Terms: Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2310.20046