Jennifer Neville
Purdue University
H-index: 45
North America-United States
Top articles of Jennifer Neville
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness | arXiv preprint arXiv:2402.14833 | Jiayi Liu Tinghan Yang Jennifer Neville | 2024/2/17 |
Node Similarities under Random Projections: Limits and Pathological Cases | arXiv preprint arXiv:2404.10148 | Tvrtko Tadić Cassiano Becker Jennifer Neville | 2024/4/15 |
Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization | arXiv preprint arXiv:2404.02319 | Tobias Schnabel Jennifer Neville | 2024/4/2 |
The Use of Generative Search Engines for Knowledge Work and Complex Tasks | arXiv preprint arXiv:2404.04268 | Siddharth Suri Scott Counts Leijie Wang Chacha Chen Mengting Wan | 2024/3/19 |
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models | arXiv preprint arXiv:2403.12388 | Ying-Chun Lin Jennifer Neville Jack W Stokes Longqi Yang Tara Safavi | 2024/3/19 |
TnT-LLM: Text Mining at Scale with Large Language Models | arXiv preprint arXiv:2403.12173 | Mengting Wan Tara Safavi Sujay Kumar Jauhar Yujin Kim Scott Counts | 2024/3/18 |
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs | arXiv preprint arXiv:2309.08827 | Sarkar Snigdha Sarathi Das Chirag Shah Mengting Wan Jennifer Neville Longqi Yang | 2023/9/16 |
Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness | Neural Networks | Hogun Park Jennifer Neville | 2023/7/1 |
Using large language models to generate, validate, and apply user intent taxonomies | arXiv preprint arXiv:2309.13063 | Chirag Shah Ryen W White Reid Andersen Georg Buscher Scott Counts | 2023/9/14 |
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs | Susheel Suresh Mayank Shrivastava Arko Mukherjee Jennifer Neville Pan Li | 2023/4/30 | |
Balancing Multiple Objectives for Efficient Metaprompts for Data Labeling Tasks with Extensive Guidelines | Tobias Schnabel Jennifer Neville | 2023/11/26 | |
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers | arXiv preprint arXiv:2311.09180 | Sheshera Mysore Zhuoran Lu Mengting Wan Longqi Yang Steve Menezes | 2023/11/15 |
Creating generalizable downstream graph models with random projections | arXiv preprint arXiv:2302.08895 | Anton Amirov Chris Quirk Jennifer Neville | 2023/2/17 |
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem | Jiayi Liu Jennifer Neville | 2023/8 | |
DYANE: DYnamic Attributed Node rolEs Generative Model | Giselle Zeno Jennifer Neville | 2023/10/21 | |
Workplace Recommendation with Temporal Network Objectives | Kiran Tomlinson Jennifer Neville Longqi Yang Mengting Wan Cao Lu | 2023/8/6 | |
Hindsight learning for mdps with exogenous inputs | Sean R Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo De Oliveira Barbalho | 2023/7/3 | |
Contrastive post-training large language models on data curriculum | arXiv preprint arXiv:2310.02263 | Canwen Xu Corby Rosset Luciano Del Corro Shweti Mahajan Julian McAuley | 2023/10/3 |
Federated Graph Representation Learning using Self-Supervision | Susheel Suresh Danny Godbout Arko Mukherjee Mayank Shrivastava Jennifer Neville | 2022/10/17 | |
Lightweight compositional embeddings for incremental streaming recommendation | arXiv preprint arXiv:2202.02427 | Mengyue Hang Tobias Schnabel Longqi Yang Jennifer Neville | 2022/2/4 |
Co-Authors
