Jennifer Neville

Microsoft Research, Purdue University, Research interests: machine learning, data mining, network science, artificial intelligence.

[ICLR @iclr_conf]

Announcing the #ICLR2026 Outstanding Paper Awards 🏆 Congratulations to:

[Philippe Laban @PhilippeLaban]

New paper! LLMs Corrupt Your Documents When You Delegate

LLMs are enabling a new way of working: delegated work, where users supervise an LLM as it edits documents on their behalf.
Delegation requires trust: does the LLM complete tasks without introducing errors?

We simulate delegation across 52 professional domains and find that LLMs Corrupt Your Documents When You Delegate. 🧵1/N

[Philippe Laban @PhilippeLaban]

LLMs *Still* Get Lost In Multi-Turn Conversation.

We re-ran experiments with newer models. Performance still drops, but with modest gains: mostly from improvements on the Python coding task.

Also: Lost in Conversation will be presented at ICLR 2026 🎉🇧🇷

[Jennifer Neville @ProfJenNeville]

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

[Jie He @Jiehenlp]

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.

[Kiran Tomlinson @kiran_tomlinson]

🤔 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

[Towards Data Science @TDataScience]

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

[Kiran Tomlinson @kiran_tomlinson]

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

[Philippe Laban @PhilippeLaban]

🆕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

[Dr. Giselle Zeno @giselle_zeno]

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

[Jennifer Neville @ProfJenNeville]

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

[Jennifer Neville @ProfJenNeville]

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

[Jennifer Neville @ProfJenNeville]

Wish I could hear discussions with Google mentors at @WiMLworkshop mentoring round tables later today, particularly table 14 with Jeff Dean #ISupportTimnit

[Aditya Grover @adityagrover_]

Looking forward to hosting the research roundtable on "Graph-based and combinatorial machine learning" (Table #23)! w/ @ProfJenNeville #Neurips2020

[WiML @WiMLworkshop]

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

[Jennifer Neville @ProfJenNeville]

👏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.

[Jennifer Neville @ProfJenNeville]

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

[Purdue Computer Science @PurdueCS]

Congratulations to @ProfJenNeville, Samuel Conte Professor of Computer Science. https://t.co/MZdIIHMnYz

[Jennifer Neville @ProfJenNeville]

https://t.co/r1aiSn0BRM