Stephanie Schoch @stephschoch
PhD candidate working on NLP and data contribution estimation @CS_UVA. Member of @UVA_ILP. Joined September 2019-
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Stephanie Schoch retweeted
How do language models generalize from information they learn in-context vs. via finetuning? We show that in-context learning can generalize more flexibly, illustrating key differences in the inductive biases of these modes of learning — and ways to improve finetuning. Thread: 1/
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Had a great time presenting this work at the NAACL 2025 Insights Workshop yesterday! We adapted a Monte Carlo sampling method to analyze the impact of the number of in-context examples. aclanthology.org/2025.insights-…
I’ll be presenting our work “In-Context Learning (and Unlearning) of Length Biases” at NAACL 25 in Hall 3 from 11AM-12:30PM today. Looking forward to chatting about ICL with everyone!
Stephanie Schoch retweeted
@cwolferesearch If you thought the information on data they release is interesting, you should check out our recent survey on data for LLMs We include a TON more information about data processing, and most information Meta includes in the release isn't particularly new
@cwolferesearch If you thought the information on data they release is interesting, you should check out our recent survey on data for LLMs We include a TON more information about data processing, and most information Meta includes in the release isn't particularly new
Stephanie Schoch retweeted
From the LLaMa 3 blogpost - they use a combination of rejection sampling, DPO and PPO for post-training. Really interested to know what tasks/parts of the process each algorithms benefits the most.
Stephanie Schoch retweeted
LLaMA-3 is a prime example of why training a good LLM is almost entirely about data quality… TL;DR. Meta released LLaMA-3-8B/70B today and 95% of the technical info we have so far is related to data quality: - 15T tokens of pretraining data - More code during pretraining…
Stephanie Schoch retweeted
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs arxiv.org/abs/2404.01461 @PanDwww @ZilinXiao2 @hanjie_chen
Stephanie Schoch retweeted
Chat with MLX 🚀 a high-performance macOS app linking your local docs to a custom large language model (LLM) on your machine 🧵 Now open-source in beta! github.com/mlx-chat/mlx-c… Collaboratively built by @itsstock & @parkersm1th
Stephanie Schoch retweeted
OpenAI just dropped their Prompt Engineering guide. Here are 6 strategies they recommend for getting better results from LLMs:
Stephanie Schoch retweeted
Worried about test data being used in training? The LLM world is going through a data contamination crisis. Here's us trying to do something about it: Paper: arxiv.org/abs/2305.10160 Blog: medium.com/@alonjacovi/st… w\ @clu_avi @omerNLP @yoavgo
Stephanie Schoch retweeted
Our group released a Python package of data valuation in machine learning, Valda. It supports five methods (LOO, Influence Function, TMC-Shapley, Beta-Shapley, and CS-Shapley) via a unified API. Please try it out if you are interested: uvanlp.org/valda/ @stephschoch
Stephanie Schoch retweeted
Our work on class-wise Shapley values for data valuation is accepted to #NeurIPS2022 Congratulations to my student @stephschoch and collaborator @haifengxu0! See you in New Orleans!
Stephanie Schoch retweeted
INLG 2022 will be 18-22 July, in Colby College (Waterville, Maine, USA)! Calls for papers, workshops, etc available at inlgmeeting.github.io/calls.html
Stephanie Schoch retweeted
UVA ILP Lab Group Photo: Fall 2021
Very excited to share this update: I passed my PhD Qualifying Examination! A big thank you to my committee and to my advisor @yangfeng_ji for all of his support and guidance!
Very excited to share this update: I passed my PhD Qualifying Examination! A big thank you to my committee and to my advisor @yangfeng_ji for all of his support and guidance!
Stephanie Schoch retweeted
Stephanie Schoch retweeted
The commendation for outstanding position paper goes to "Underreporting of errors in NLG output, and what to do about it" by van Miltenburg, Clinciu, Dušek, Gkatzia, Inglis, Leppänen, Mahamood, Manning, Schoch, Thomson, & Wen
Stephanie Schoch retweeted
What amazing news! As always, it was great to collaborate with @saad_m @MirunaClinciu @evanmiltenburg @tuetschek @EmmaSManning @stephschoch @ThomsonSoftware and @Luou_Wen
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