NLP Highlights
የቻናል ዝርዝሮች
NLP Highlights
**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.** Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to t...
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145 ክፍሎች
Are LLMs safe?
Curious about the safety of LLMs? 🤔 Join us for an insightful new episode featuring Suchin Gururangan, Young Investigator at Allen Institute for Arti...
"Imaginative AI" with Mohamed Elhoseiny
This podcast episode features Dr. Mohamed Elhoseiny, a true luminary in the realm of computer vision with over a decade of groundbreaking research. As...
142 - Science Of Science, with Kyle Lo
Our first guest with this new format is Kyle Lo, the most senior lead scientist in the Semantic Scholar team at Allen Institute for AI (AI2), who kind...
141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld
In this special episode of NLP Highlights, we discussed building and open sourcing language models. What is the usual recipe for building large langua...
140 - Generative AI and Copyright, with Chris Callison-Burch
In this special episode, we chatted with Chris Callison-Burch about his testimony in the recent U.S. Congress Hearing on the Interoperability of AI an...
139 - Coherent Long Story Generation, with Kevin Yang
How can we generate coherent long stories from language models? Ensuring that the generated story has long range consistency and that it conforms to a...
138 - Compositional Generalization in Neural Networks, with Najoung Kim
Compositional generalization refers to the capability of models to generalize to out-of-distribution instances by composing information obtained from...
137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal
We invited Urvashi Khandelwal, a research scientist at Google Brain to talk about nearest neighbor language and machine translation models. These mode...
136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani
In this episode, we talk with Kayo Yin, an incoming PhD at Berkeley, and Malihe Alikhani, an assistant professor at the University of Pittsburgh, abou...
135 - PhD Application Series: After Submitting Applications
This episode is the third in our current series on PhD applications.
We talk about what the PhD application process looks like after appl...
134 - PhD Application Series: PhDs in Europe versus the US, with Barbara Plank and Gonçalo Correia
This episode is the second in our current series on PhD applications.
How do PhD programs in Europe differ from PhD programs in the US, a...
133 - PhD Application Series: Preparing Application Materials, with Nathan Schneider and Roma Patel
This episode is the first in our current series on PhD applications.
How should people prepare their applications to PhD programs in NLP?...
132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek
In this episode, we discussed the Alexa Prize Socialbot Grand Challenge and this year's winning submission, Alquist 4.0, with Petr Marek, a member of...
131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski
What can NLP researchers learn from Human Computer Interaction (HCI) research? We chatted with Nanna Inie and Leon Derczynski to find out. We discusse...
130 - Linking human cognitive patterns to NLP Models, with Lisa Beinborn
In this episode, we talk with Lisa Beinborn, an assistant professor at Vrije Universiteit Amsterdam, about how to use human cognitive signals to impro...
129 - Transformers and Hierarchical Structure, with Shunyu Yao
In this episode, we talk to Shunyu Yao about recent insights into how transformers can represent hierarchical structure in language. Bounded-depth hie...
128 - Dynamic Benchmarking, with Douwe Kiela
We discussed adversarial dataset construction and dynamic benchmarking in this episode with Douwe Kiela, a research scientist at Facebook AI Research...
127 - Masakhane and Participatory Research for African Languages, with Tosin Adewumi and Perez Ogayo
We invited members of Masakhane, Tosin Adewumi and Perez Ogayo, to talk about their EMNLP Findings paper that discusses why typical research is limite...
126 - Optimizing Continuous Prompts for Generation, with Lisa Li
We invited Lisa Li to talk about her recent work, Prefix-Tuning: Optimizing Continuous Prompts for Generation. Prefix tuning is a lightweight alternat...
125 - VQA for Real Users, with Danna Gurari
How can we build Visual Question Answering systems for real users? For this episode, we chatted with Danna Gurari, about her work in building datasets...
124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang
We invited Jayant Krishnamurthy and Hao Fang, researchers at Microsoft Semantic Machines to discuss their platform for building task-oriented dialog s...
123 - Robust NLP, with Robin Jia
In this episode, Robin Jia talks about how to build robust NLP systems. We discuss the different senses in which a system can be robust, reasons to ca...
122 - Statutory Reasoning in Tax Law, with Nils Holzenberger
We invited Nils Holzenberger, a PhD student at JHU to talk about a dataset involving statutory reasoning in tax law Holzenberger et al. released recen...
121 - Language and the Brain, with Alona Fyshe
We invited Alona Fyshe to talk about the link between NLP and the human brain. We began by talking about what we currently know about the connection b...
120 - Evaluation of Text Generation, with Asli Celikyilmaz
We invited Asli Celikyilmaz for this episode to talk about evaluation of text generation systems. We discussed the challenges in evaluating generated...
119 - Social NLP, with Diyi Yang
In this episode, Diyi Yang gives us an overview of using NLP models for social applications, including understanding social relationships, processes,...
118 - Coreference Resolution, with Marta Recasens
In this episode, we talked about Coreference Resolution with Marta Recasens, a Research Scientist at Google. We discussed the complexity involved in r...
117 - Interpreting NLP Model Predictions, with Sameer Singh
We interviewed Sameer Singh for this episode, and discussed an overview of recent work in interpreting NLP model predictions, particularly instance-le...
116 - Grounded Language Understanding, with Yonatan Bisk
We invited Yonatan Bisk to talk about grounded language understanding. We started off by discussing an overview of the topic, its research goals, and...
115 - AllenNLP, interviewing Matt Gardner
In this special episode, Carissa Schoenick, a program manager and communications director at AI2 interviewed Matt Gardner about AllenNLP. We chatted a...
114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro
We invited Marco Tulio Ribeiro, a Senior Researcher at Microsoft, to talk about evaluating NLP models using behavioral testing, a framework borrowed f...
113 - Managing Industry Research Teams, with Fernando Pereira
We invited Fernando Pereira, a VP and Distinguished Engineer at Google, where he leads NLU and ML research, to talk about managing NLP research teams...
112 - Alignment of Multilingual Contextual Representations, with Steven Cao
We invited Steven Cao to talk about his paper on multilingual alignment of contextual word embeddings. We started by discussing how multilingual trans...
111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark
We invited Jon Clark from Google to talk about TyDi QA, a new question answering dataset, for this episode. The dataset contains information seeking q...
110 - Natural Questions, with Tom Kwiatkowski and Michael Collins
In this episode, Tom Kwiatkowski and Michael Collins talk about Natural Questions, a benchmark for question answering research. We discuss how the dat...
109 - What Does Your Model Know About Language, with Ellie Pavlick
How do we know, in a concrete quantitative sense, what a deep learning model knows about language? In this episode, Ellie Pavlick talks about two broa...
108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek
In this episode we invite Verena Rieser and Ondřej Dušek on to talk to us about the complexities of generating natural language when you have some k...
107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal
In this episode, we invite Hao Tan and Mohit Bansal to talk about multi-modal training of transformers, focusing in particular on their EMNLP 2019 pap...
106 - Ethical Considerations In NLP Research, with Emily Bender
In this episode, we talked to Emily Bender about the ethical considerations in developing NLP models and putting them in production. Emily cited speci...
105 - Question Generation, with Sudha Rao
In this episode we invite Sudha Rao to talk about question generation. We talk about different settings where you might want to generate questions: f...