CS224U

Chris Potts
CS224U
Último episódio

16 episódios

  • CS224U

    Sam Bowman on benchmarking and AI alignment

    23/02/2023 | 1h 26min
    Lessons learned about benchmarking, adversarial testing, the dangers of over- and under-claiming, and AI alignment.

    Transcript: https://web.stanford.edu/class/cs224u/podcast/bowman/


    Sam's website

    Sam on Twitter

    NYU Linguistics

    NYU Data Science

    NYU Computer Science

    Anthropic

    SNLI paper: A large annotated corpus for learning natural language inference

    SNLI leaderboard

    FraCaS

    SICK

    A SICK cure for the evaluation of compositional distributional semantic models

    SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment

    RTE Knowledge Resources

    Richard Socher

    Chris Manning

    Andrew Ng

    Ray Kurtzweil

    SQuAD

    Gabor Angeli

    Adina Williams

    Adina Williams podcast episode

    MultiNLI paper: A broad-coverage challenge corpus for sentence understanding through inference

    MultiNLI leaderboards

    Twitter discussion of LLMs and negation

    GLUE

    SuperGLUE

    DecaNLP

    GPT-3 paper: Language Models are Few-Shot Learners

    FLAN

    Winograd schema challenges

    BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    JSALT: General-Purpose Sentence Representation Learning

    Ellie Pavlick

    Ellie Pavlick podcast episode

    Tal Linzen

    Ian Tenney

    Dipanjan Das

    Yoav Goldberg

    Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

    Big Bench

    Upwork

    Surge AI

    Dynabench

    Douwe Kiela

    Douwe Kiela podcast episode

    Ethan Perez

    NYU Alignment Research Group

    Eliezer Shlomo Yudkowsky

    Alignment Research Center

    Redwood Research

    Percy Liang podcast episode

    Richard Socher podcast episode
  • CS224U

    Amir Goldberg on the impact of AI

    27/01/2023 | 1h 28min
    AI and social science, the causal revolution in economics, predictions about the impact of AI, teaching MBAs, productizing AI, and a journey from Tel Aviv to Princeton to Stanford.

    Transcript: https://web.stanford.edu/class/cs224u/podcast/goldberg/


    Amir's website

    Amir on Twitter

    Computational Culture Lab

    ChatGPT

    Laura Nelson

    Bart Bonikowski

    Chris Winship

    Bernie Koch

    Treebanks

    BIG-bench

    Guido Imbens

    Endogeneity

    Susan Athey

    Cambridge Analytica

    Prediction Machines

    Speech and Language Processing

    DALL-E 2

    Midjourney

    Stable Diffusion

    Postmodernism, or, the Cultural Logic of Late Capitalism

    Turing test

    Matt Salganik

    Paul DiMaggio
  • CS224U

    Marie-Catherine de Marneffe on understanding your data

    07/11/2022 | 1h 8min
    Leaving Ohio, being back in Belgium, organizing NAACL 2022, reviewing at NLP-scale, universal dependencies, and doing NLU before it was cool.

    Transcript: https://web.stanford.edu/class/cs224u/podcast/demarneffe/


    Marie's website

    Generating Typed Dependency Parses from Phrase Structure Parses

    Universal Dependencies project

    OSU Linguistics

    NAACL 2022

    Dan Jurafsky

    Dan Roth

    Chris Manning

    ARR

    Priscilla Rasmussen

    Transactions of the ACL

    Finding Contradictions in Text

    Not a simple yes or no: Uncertainty in indirect answers

    Recognizing Textual Entailment

    Anna Rafferty

    Scott Grimm

    "Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives

    Did It Happen? The Pragmatic Complexity of Veridicality Assessment

    Yejin Choi

    Yejin Choi's ACl 2022 talk

    Barbara Plank

    Linguistically debatable or just plain wrong?

    Jesse Dodge

    Reproducibility badges at NAACL 2022

    Stanford Sentiment Treebank

    Judith Tonhauser

    Nan-Jiang Jiang

    Lauri Karttunen

    Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data

    Microsoft DeBERTa surpasses human performance on the SuperGLUE benchmark

    Daniel Zeman

    Marta Recasens
  • CS224U

    Sasha Rush on NLP research, engineering, and education

    04/10/2022 | 1h 22min
    Coding puzzles, practices, and education, structured prediction, the culture of Hugging Face, large models, and the energy of New York.

    Transcript: https://web.stanford.edu/class/cs224u/podcast/rush/


    Sasha's website

    Sasha on Twitter

    Sasha on the Humans of AI podcast

    Sasha on The Thesis Review Podcast with Sean Welleck

    Sasha on the Talking Machines Podcast

    Sasha interviewed by Sayak Paul

    Hugging Face

    PyTorch

    The Annotated Transformer

    The Annotated Alice

    The Annotated S4

    Sasha and Dan Oneață's declarative graphics library Chalk

    Drawing Big Ben in Chalk

    OpenNMT

    Ken Shan

    Blog post by Ken and Dylan Thurston

    Edward Z. Yang

    Stuart Shieber

    Literate programming

    Soumith Chintala

    Lua Torch

    TensorFlow

    Graham Neubig

    Chris Dyer

    DyNet

    JAX

    jax.vmap

    Matt Johnson

    Finale Doshi-Velez, whose undergrad ML course inspired and informed Sasha's

    Tensor Puzzles

    GPU Puzzles

    A tweet that Chris added to his CV

    Adam Paszke

    Dougal MacLaurin

    Dex

    Named Tensor notation

    Named Tensors in PyTorch

    TorchDim

    Mini Torch

    Torch-Struct

    Sarah Hooker's paper 'The hardware lottery'

    Jacob Andreas

    Kevin Ellis

    Hugging Face transformers library

    Hugging Face datasets library

    Hugging Face diffusers library

    Hugging Face evaluate library

    scikit-learn

    Big Science blog

    BLOOM

    The Technology Behind BLOOM Training

    CRFM

    Eleuther

    T0 and PromptSource

    Washington Post: Big Tech builds AI with bad data. So scientists sought better data

    The bet: Is Attention All You Need?

    Democratizing access to large-scale language models with OPT-175B

    Epic OPT-175 Logbook

    Google's PaLM

    United's shares plunge 76% on bogus bankruptcy report

    Imagen

    Albert Gu

    Bell Labs
  • CS224U

    Diyi Yang on socially aware language technologies

    01/08/2022 | 1h 21min
    Moving to Stanford, linguistic and social variation, interventional studies, and shared stories and lessons learned from an ACL Young Rising Star.

    Transcript: https://web.stanford.edu/class/cs224u/podcast/yang/


    Diyi's website

    Diyi on Twitter

    Dan Jurafsky

    The Stanford NLP Group

    Buford Highway in Atlanta

    Sweet tea

    VALUE paper

    AAE

    GLUE

    Negative concord

    Exploring the role of grammar and word choice in bias toward African American English (AAE) in hate speech classification

    Inducing positive perspectives with text reframing

    Dynabench

    Datasheets for datasets

    MTurk

    Upwork

    Prolific

    Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities

    ToTTo: A controlled table-to-text generation dataset

    Six questions for socially aware language technologies

    The importance of modeling social factors of language: Theory and practice

    Dirk Hovy

    Workshop on Shared Stories and Lessons Learned EMNLP 2022

    Workshop on Shared Stories and Lessons Learned ICCV 2021

    Jeff Hancock
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