ОТНОСТНО ТОЗИ ЕПИЗОД
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
Английски
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В ТОЗИ ЕПИЗОД
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ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на CS224U.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
Pronouncing "ColBERT", the origins of ColBERT, doing NLP from an IR perspective, how getting "scooped" can be productive, OpenQA and related tasks, PhD journeys, why even retrieval plus attention is not all you need, multilingual knowledge-intensive NLP, and aiming high in research projects.
Tran…
Grounding through pure language modeling objectives, the origins or probing, the nature of understanding, the future of system assessment, signs of meaningful progress in the field, and having faith in yourself.
Transcript: https://web.stanford.edu/class/cs224u/podcast/pavlick/
Ellie's websi…
Giving a TED talk, linguistic diversity, code switching and large language models, the Indian NLP scene, empowering women with language consultation work, Wordle, and "once a linguist, always a linguist".
Transcript: https://web.stanford.edu/class/cs224u/podcast/bali/
Kalika's website
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Coast-to-coast professional journeys, multilingual NLP, teaching in a fast-changing field, the history of hate speech detection in NLP, ethics review of NLP research, research on sensitive topics, mentoring researchers, and optimizing for your own passions.
Transcript: https://web.stanford.edu/cl…
The early days of the rise of deep learning in NLP, conviction, the importance of applied work in the current moment, start-up risks, the state of Web search, paramotoring, and over-looked gems in the U.S. National Park system.
Transcript: https://web.stanford.edu/class/cs224u/podcast/socher/
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