Publication Training Private and Efficient Language Models with Synthetic Data from LLMs Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang NeurIPS 2023 SoLaR Workshop | December 2023 Project
Publication Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal Empirical Methods in Natural Language Processing (EMNLP) | December 2023
Publication Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin Table Representation Learning Workshop at NeurIPS 2023 | December 2023
Publication Differentially Private Approximate Near Neighbor Counting in High Dimensions Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan NeurIPS 2023 | December 2023 Spotlight Presentation Project
Publication Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla December 2023
Publication Mitigating Tail Catastrophe in Steered Database Query Optimization with Risk-Averse Contextual Bandits Mónika Farsang, Paul Mineiro, Wangda Zhang Machine Learning for Systems Workshop at 37th NeurIPS Conference | December 2023 2023, New Orleans, LA, USA
Publication MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering Mahmoud Khademi, Ziyi Yang, Felipe Vieira Frujeri, Chenguang Zhu Empirical Methods in Natural Language Processing | December 2023
Publication Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems …, Qingwei Lin 林庆维, … December 2023
Publication Datasets and Foundation Models for Landsat Imagery Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023 Project Project Project
Publication Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres Machine Learning for Structural Biology Workshop, NeurIPS | December 2023 Project