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Stanford AI Lab Papers at EMNLP/CoNLL 2021

The Stanford AI Lab Blog

The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) will take place next week, colocated with CoNLL 2021. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below.

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ClarifyDelphi

Allen AI

2021), a recently proposed commonsense moral reasoning model, generates moral judgments for simple actions described in text. arXiv preprint arXiv:2110.07574 (2021). In Findings of the Association for Computational Linguistics: EMNLP 2020 , pp. If offered to a work colleague, it may even be viewed as a courteous gesture.

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AI2 at ACL 2023

Allen AI

Submissions to EMNLP 2021 binned by count of YES responses to the NLP Reproducibility Checklist items. 2021) and summarization (Saunders et al., Read more on the blog here. HINT models outperform strong state-of-the-art baselines by over 10% when controlling for compute (measured in FLOPs).

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ACL 2021 Highlights

Sebastian Ruder

ACL 2021 took place virtually from 1–6 August 2021. This work led to other related work that we covered in an EMNLP 2022 tutorial. These models are essentially all variants of the same Transformer architecture. Gender bias amplification during Speed-Quality optimization in Neural Machine Translation.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   2021 saw the continuation of the development of ever larger pre-trained models. 2021 saw the development of alternative model architectures that are viable alternatives to the transformer. style loss.

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Llama Guard is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

In 2021, he presented a paper on adversarial neural networks at the ICLR conference. He is an active researcher in machine learning and statistical inference, and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences. He is interested in the confluence of machine learning with cloud computing.

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Fine-tune and Deploy Mistral 7B with Amazon SageMaker JumpStart

AWS Machine Learning Blog

Inference example with and without fine-tuning The following table contains the results of the Mistral 7B model fine-tuned with SEC filing documents of Amazon from 2021–2022. He is an active researcher in machine learning and statistical inference, and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences.