https://thegradientpub.substack.com/p/ted-gibson-language-structure-communication-llms 才发现有transcripts了
NLP for Work
@nlpfw
Natural Language Processing for Work
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NLP for Work (Chinese)
在这个信息爆炸的时代，自然语言处理（NLP）变得越来越重要，尤其是在工作中。如果你对NLP感兴趣，或者想要了解如何在工作中应用这一技术，那么不妨关注我们的Telegram频道"NLP for Work"。nn这个频道提供了丰富的内容，帮助您掌握NLP在工作中的实际应用。我们定期分享有关NLP的文章、案例研究、技术教程等内容，让您能够更好地了解并掌握这一领域的知识。nn如果您想进一步深入学习和交流，我们也提供了频道历史内容的网页归档，方便您随时查阅。此外，我们还有一系列相关频道，包括梗频道 @JISFW、图频道 @GfWR16，以及反馈投稿吹水群 @FishingFW。nn无论您是初学者还是专业人士，加入"NLP for Work"频道将会让您收获更多关于NLP在工作中的知识和技能。想要了解更多精彩内容，请访问：https://t.me/JISFW/13392
NLP for Work
05 Jul, 12:44
Binding Language Models in Symbolic Languages
https://lm-code-binder.github.io/
ICLR23 top-25% 终于也开始实际地评估LLM转换形式语言的效果了
https://lm-code-binder.github.io/
ICLR23 top-25% 终于也开始实际地评估LLM转换形式语言的效果了
NLP for Work
11 Apr, 15:46
https://github.com/labmlai/annotated_deep_learning_paper_implementations 好生炫酷（
NLP for Work
10 Apr, 13:44
https://yimeixiang.wordpress.com/teaching/ 一点逻辑语义学课程材料。没有太争议的主题，如语义的本体论问题、语义语用界面等，偏具体的语义学技术，对入门友好。
NLP for Work
27 Mar, 05:12
https://drive.google.com/file/d/1BU5bV3X5w65DwSMapKcsr0ZvrMRU_Nbi/view
Do large language models need sensory grounding for meaning and understanding?
Spoiler: YES!
Yann LeCun
Courant Institute & Center for Data Science, NYU
Meta – Fundamental AI Research
2023-03-24
Do large language models need sensory grounding for meaning and understanding?
Spoiler: YES!
Yann LeCun
Courant Institute & Center for Data Science, NYU
Meta – Fundamental AI Research
2023-03-24
NLP for Work
27 Jul, 17:00
https://windowsontheory.org/2022/06/20/the-uneasy-relationship-between-deep-learning-and-classical-statistics/
NLP for Work
21 Jul, 07:36
https://direct.mit.edu/books/oa-monograph/5329/The-Art-of-Abduction
NLP for Work
04 Jun, 15:20
https://www.amacad.org/publication/human-language-understanding-reasoning
NLP for Work
10 May, 02:16
https://thegradient.pub/graph-neural-networks-beyond-message-passing-and-weisfeiler-lehman/
NLP for Work
05 May, 10:51
https://aaai2022kgreasoning.github.io/
AAAI 2022 Tutorial: Reasoning on Knowledge Graphs: Symbolic or Neural?
一个不错的综述，尽管气氛上这里的“推理”还是计算意义上的，跟认知或心智方面的进路远非字面上那么接近。
AAAI 2022 Tutorial: Reasoning on Knowledge Graphs: Symbolic or Neural?
一个不错的综述，尽管气氛上这里的“推理”还是计算意义上的，跟认知或心智方面的进路远非字面上那么接近。
NLP for Work
02 May, 13:37
https://aclanthology.org/2021.acl-long.379/
https://arxiv.org/abs/2203.00281
给大佬们跪了……比大多数老板都老的CYK算法居然被降到O(n)了
https://arxiv.org/abs/2203.00281
给大佬们跪了……比大多数老板都老的CYK算法居然被降到O(n)了
NLP for Work
18 Jan, 03:42
AlibiExplain 应该是这几年看到的在机器学习模型可解释性上做的最系统的工具，堪称知识库型文档，毕竟不能只了解一点 SHAP。https://docs.seldon.io/projects/alibi/en/latest/index.html
NLP for Work
12 Jan, 08:45
Graph Neural Networks
Foundations, Frontiers, and Applications
Lingfei Wu, JD.COM
Peng Cui, Tsinghua University
Jian Pei, Simon Fraser University
Liang Zhao, Emory University
https://graph-neural-networks.github.io/index.html
Foundations, Frontiers, and Applications
Lingfei Wu, JD.COM
Peng Cui, Tsinghua University
Jian Pei, Simon Fraser University
Liang Zhao, Emory University
https://graph-neural-networks.github.io/index.html
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