Geran, Monica
No datasets were created in the context of this work. Examples of LLM outputs are provided in theSupplementary Data. References Download references Acknowledgements F.R.K. and S.J.W. were supported by the Add-on Fellowship of the Joachim Herz Foundation. S.J.W. was supported by the Helmhol...
[2022/03] ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection [2020/09] RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models B. Security B1. Adversarial Examples [2024/02] Fast Adversarial Attacks on Language Models in One ...
Refer to theQuickstartfor examples of using NeMo-Run to launch NeMo 2.0 experiments locally and on a slurm cluster. For more information about NeMo 2.0, see theNeMo Framework User Guide. NeMo 2.0 Recipescontains additional examples of launching large-scale runs using NeMo 2.0 and NeMo-Run. ...
Filed under:Large Scale Projects,Pig Project : Geneseo,Works in Progress Piggin’ Out Today was a great painting day, things are moving along and I’ll be showing you more of a progress image in the next day or two. I just wanted to show you this neat pic my hubby took while I was...
Importantly, we are also not limited to fine-tuning; in Supplementary Note5, we show that we can even achieve good performance without fine-tuning by incorporating examples directly into the prompt (so-called in-context learning5,29, that is, learning during inference time). This works particul...
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Large-Scale Scrum (LeSS)is essentially regular scrum applied to large-scale development. LeSS is based on the idea that scaling frameworks should be minimalistic (i.e. include less rules, roles, and artifacts) to drive success. However, both LeSS and SAFe share some common patterns: Scrum at...
The automation script of this repo is powered byAuto-Bibfile. If you'd like to commit to this repo, please modifybibtex.biborrelated_works.jsonand re-generateREADME.mdusingpython scripts/run.py. by , byQingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Ji...
superiority of our cross-domain head reenactment model compared to state-of-the-art methods. Expression Domain Translation Network — Official Implementation Source | Driving | Animo | (New) EDTN Project Page:https://keh0t0.github.io/research/EDTN/...