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← Authors

Jennifer Neville

24 papers · 2007–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (18) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (18) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (112) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ⚑ Prolific Year (6)

Conferences

ACL (4) AISTATS (3) EMNLP (3) ICML (3) IJCAI (2) JMLR (2) UAI (2) AAAI (1) ICLR (1) NAACL (1) NIPS (1) NSDI (1)

Top co-authors

Mengting Wan (6) Longqi Yang (6) Xiaofeng Xu (4) XIA SONG (4) Sujay Kumar Jauhar (3) Vinayak Rao (3) Tara Safavi (3) Jiasen Yang (2) Adith Swaminathan (2) Pei Zhou (2)

Keywords

large language model (8) graph neural network (4) social network (3) point process (2) representation learning (2) preference alignment (2) stein discrepancy (2) node classification (2) zero-shot learning (2) hawkes process (2) instruction tuning (2) goodness-of-fit test (2) kernel methods (2) relational learning (2) reinforcement learning (2) social network analysis (2) sentiment analysis (1) adversarial learning (1) statistical analysis (1) ensemble learning (1)

Papers

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback ACL 2026 Node Similarities under Random Projections: Limits and Pathological Cases ICLR 2025 GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025 Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed EMNLP 2025 S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs ACL 2024 On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots UAI 2024 Automatic Pair Construction for Contrastive Post-training NAACL 2024 Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers EMNLP 2024 Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization EMNLP 2024 Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models ACL 2024 Hindsight Learning for MDPs with Exogenous Inputs ICML 2023 Adversarial Graph Augmentation to Improve Graph Contrastive Learning NIPS 2021 A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ICML 2021 Ensemble Learning for Relational Data JMLR 2020 A Stein–Papangelou Goodness-of-Fit Test for Point Processes AISTATS 2019 Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks IJCAI 2019 TransConv: Relationship Embedding in Social Networks AAAI 2019 Social Reinforcement Learning to Combat Fake News Spread UAI 2019 Nested CRP with Hawkes-Gaussian Processes AISTATS 2018 Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy ICML 2018 Unified Representation and Lifted Sampling for Generative Models of Social Networks IJCAI 2017 Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems NSDI 2012 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Relational Dependency Networks JMLR 2007