# Stanford AI Lab Papers and Talks at ACL 2022

DevFeed: [Stanford AI Lab Papers and Talks at ACL 2022](<https://devfeed.tech/articles/stanford-ai-lab-papers-and-talks-at-acl-2022-7577.md>)

Original publisher: [Read original article](<https://ai.stanford.edu/blog/acl-2022/>)

Author: Compiled by Drew A. Hudson

Published: 2022-05-25T07:00:00Z

Content type: article

Language: en

Sources: [The Stanford AI Lab Blog](<https://devfeed.tech/sources/the-stanford-ai-lab-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [generation](<https://devfeed.tech/tags/generation.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [training](<https://devfeed.tech/tags/training.md>)

## AI overview

A Stanford AI Lab roundup of papers, talks, and related material presented at ACL 2022. The listed work covers language-model pretraining, large-language-model analysis, embedding similarity, text generation and summarization evaluation, entity retrieval, dialogue agents, and human-robot interaction.

## Source excerpt

The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd - May 27th. We're excited to share all the work from SAIL that's being presented, and you'll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that's happening at Stanford! List of Accepted Papers LinkBERT: Pretraining Language Models with Document Links Authors: Michihiro Yasunaga, Jure Leskovec*, Percy Liang* Contact: myasu@cs.stanford.edu Links: Paper | Website Keywords: language model, pretraining, knowledge, hyperlink, bionlp When classifying grammatical role, BERT doesn't care about word order... except when it matters Authors: Isabel Papadimitriou, Richard Futrell, Kyle Mahowald Contact: isabelvp@stanford.edu Links: Paper Keywords: large language models, analysis, word order, order invariance, grammatical role, syntax, semantics Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words Authors: Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky Contact: katezhou@stanford.edu Keywords: cosine similarity, training data frequency, model analysis Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization Authors: Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen McKeown Contact: esdurmus@stanford.edu Links: Paper Keywords: text summarization, text generation, evaluation, faithfulness Spurious Correlations in Reference-Free Evaluation of Text Generation Authors: Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto Contact: esdurmus@stanford.edu Links: Paper Keywords: text summarization, text generation, dialogue generation, evaluation, metrics, TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval Authors: Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré Contact: mleszczy@stanford.edu Links: Paper | Blog Post | Website Keywords: entity retrieval, contrastive learning, bi-en