Jennifer Neville
@ProfJenNeville
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Microsoft Research, Purdue University, Research interests: machine learning, data mining, network science, artificial intelligence.
Joined January 2010
For those AI researchers who have recently (re)entered the job market, just a reminder that our team— AI Interaction and Learning at Microsoft Research Redmond—is currently hiring multiple ML/AI researchers. https://t.co/mhPqFXpX9S
https://t.co/17IV9oeXNE
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I couldn’t make it to #ACL2025, but excited to share our paper GenTool from @MSFTResearch and @EdinburghUni! https://t.co/awgwgXVYQq We introduce GenTool: a training framework that simulates zero-to-one and weak-to-strong tool transitions to boost tool generalization in LLMs.
aclanthology.org
Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
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🤔 Why do LLMs fail on some tasks and not others? Our paper ( https://t.co/iGfWUGZ9Xf) gives a theoretically grounded explanation: some reasoning problems need more information-tracking than LLMs can handle. The details get ✨lost in transmission✨ between attention heads. 🧵 1/8
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Your 1M+ context window LLM might be less powerful than you think. Tobias Schnabel's new article reveals working memory as a critical bottleneck for LLMs. https://t.co/zTXpomNMkY
towardsdatascience.com
Why working memory is a more important bottleneck than raw context window size
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New paper from my group at @MSFTResearch! 📄 https://t.co/bRwk7auUAn Promises about how AI will change work are cheap. What does the actual data say? We measured which work activities people use AI for, how successful they are, and which jobs do those tasks. 🧵1/8
arxiv.org
Given the rapid adoption of generative AI and its potential to impact a wide range of tasks, understanding the effects of AI on the economy is one of society's most important questions. In this...
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🆕paper: LLMs Get Lost in Multi-Turn Conversation In real life, people don’t speak in perfect prompts. So we simulate multi-turn conversations ��� less lab-like, more like real use. We find that LLMs get lost in conversation. 👀What does that mean? 🧵1/N 📄 https://t.co/xt2EfGRh7e
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Just presented my paper "DYMOND: DYnamic MOtif-NoDes Network Generative Model" at @TheWebConf, co-authored with Timothy La Fond and @ProfJenNeville. Recording here: https://t.co/lpL93TXv08
#TheWebConf #WWW21
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Congratulations to Hoda for winning the @PurdueScience Early Career Award. So proud of her! Wish we had been able to celebrate in person. @PurdueCS @VT_CS
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Excited to announce that I will be joining Microsoft Research in Redmond in June. Looking for an intern for this summer, if you are interested in graph learning with neural networks apply at link below and let me know. @MSFTResearch
https://t.co/cTSTQwJXYO
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Wish I could hear discussions with Google mentors at @WiMLworkshop mentoring round tables later today, particularly table 14 with Jeff Dean #ISupportTimnit
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Looking forward to hosting the research roundtable on "Graph-based and combinatorial machine learning" (Table #23)! w/ @ProfJenNeville #Neurips2020
We would like to express our sincere gratitude to the inspiring cohort of #WiML2020 MENTORS! We have over 120 mentors from academia & industry! Mentorship roundtables are divided into 3 areas Research (Tables 1–28), Career & Life Advice (Tables 29–50) and Sponsor (Tables 51–63).
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We are looking forward to welcoming you to the 15th Women in Machine Learning (#WiM2020) Virtual Workshop on Wednesday, December 9th. The full *program book*, including details of all the sessions, can be found here: https://t.co/PzYl7i4mAe
#WiML @NeurIPSConf #NeurIPS2020
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👏Congratulations to Dr. @Mahak_Goindani for her successful PhD defense today on “Social Reinforcement Learning”! I can't believe she's already the third student from my lab to do a virtual defense during this pandemic and she won't be the last.
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This didn’t make me feel as hopeful as I think it was supposed to, but happy to learn about @lynnconway and add her to my list of female role models in CS. https://t.co/78HMt958se
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Congratulations to @ProfJenNeville, Samuel Conte Professor of Computer Science. https://t.co/MZdIIHMnYz
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Online presentation for our paper, with Timothy La Fond and @ProfJenNeville, "Dynamic Network Modeling from Motif-Activity" is now available: https://t.co/raVA1GVmS6
#MAISoN2020 #TheWebConf @TheWebConf
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Congratulations to Dr. Changping (Jason) Meng for his successful PhD defense today on “Scalable Representation Learning with Invariances” (coadvised with @brunofmr). Hope Purdue will have a graduation in the summer so we can celebrate with him in person!
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Research news: Want to boost the expresiness of your favorite GNN architecture? Collective learning can help: a hybrid GNN representation with Hang & @ProfJenNeville
https://t.co/MYdC20OyIh GCNs (@thomaskipf, @wellingmax ) benefit the most (up to +15% in accuracy)!
arxiv.org
Graph Neural Networks (GNNs) have recently been used for node and graph classification tasks with great success, but GNNs model dependencies among the attributes of nearby neighboring nodes rather...
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