All Episodes
NLP Highlights — 145 episodes · page 1 of 2
Are LLMs safe?
"Imaginative AI" with Mohamed Elhoseiny
142 - Science Of Science, with Kyle Lo
141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld
140 - Generative AI and Copyright, with Chris Callison-Burch
139 - Coherent Long Story Generation, with Kevin Yang
138 - Compositional Generalization in Neural Networks, with Najoung Kim
137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal
136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani
135 - PhD Application Series: After Submitting Applications
134 - PhD Application Series: PhDs in Europe versus the US, with Barbara Plank and Gonçalo Correia
133 - PhD Application Series: Preparing Application Materials, with Nathan Schneider and Roma Patel
132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek
131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski
130 - Linking human cognitive patterns to NLP Models, with Lisa Beinborn
129 - Transformers and Hierarchical Structure, with Shunyu Yao
128 - Dynamic Benchmarking, with Douwe Kiela
127 - Masakhane and Participatory Research for African Languages, with Tosin Adewumi and Perez Ogayo
126 - Optimizing Continuous Prompts for Generation, with Lisa Li
125 - VQA for Real Users, with Danna Gurari
124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang
123 - Robust NLP, with Robin Jia
122 - Statutory Reasoning in Tax Law, with Nils Holzenberger
121 - Language and the Brain, with Alona Fyshe
120 - Evaluation of Text Generation, with Asli Celikyilmaz
119 - Social NLP, with Diyi Yang
118 - Coreference Resolution, with Marta Recasens
117 - Interpreting NLP Model Predictions, with Sameer Singh
116 - Grounded Language Understanding, with Yonatan Bisk
115 - AllenNLP, interviewing Matt Gardner
114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro
113 - Managing Industry Research Teams, with Fernando Pereira
112 - Alignment of Multilingual Contextual Representations, with Steven Cao
111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark
110 - Natural Questions, with Tom Kwiatkowski and Michael Collins
109 - What Does Your Model Know About Language, with Ellie Pavlick
108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek
107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal
106 - Ethical Considerations In NLP Research, with Emily Bender
105 - Question Generation, with Sudha Rao
104 - Model Distillation, with Victor Sanh and Thomas Wolf
103 - Processing Language in Social Media, with Brendan O'Connor
102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman
101 - The lottery ticket hypothesis, with Jonathan Frankle
100 - NLP Startups, with Oren Etzioni
99 - Evaluating Protein Transfer Learning, With Roshan Rao And Neil Thomas
98 - Analyzing Information Flow In Transformers, With Elena Voita
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
96 - Question Answering as an Annotation Format, with Luke Zettlemoyer
95 - Common sense reasoning, with Yejin Choi
94 - Decompositional Semantics, with Aaron White
93 - NLP/ML for clinical data, with Alistair Johnson
92 - Computational Humanities, with David Bamman
91 - (Executable) Semantic Parsing, with Jonathan Berant
90 - Research in Academia versus Industry, with Philip Resnik and Jason Baldridge
89 - Dialog Systems, with Zhou Yu
88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt
87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng
86 - NLP for Evidence-based Medicine, with Byron Wallace
85 - Stress in Research, with Charles Sutton
84 - Large Teams Develop, Small Groups Disrupt, with Lingfei Wu
83 - Knowledge Base Construction, with Sebastian Riedel
82 - Visual Reasoning, with Yoav Artzi
81 - BlackboxNLP, with Afra Alishahi and Tal Linzen
80 - Leaderboards and Science, with Siva Reddy
79 - The glass ceiling in NLP, with Natalie Schluter
78. Where do corpora come from?, with Matt Honnibal and Ines Montani
77. On Writing Quality Peer Reviews, with Noah A. Smith
76 - Increasing In-Class Similarity by Retrofitting Embeddings with Demographics, with Dirk Hovy
75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III
74 - Deep Reinforcement Learning Doesn't Work Yet, with Alex Irpan
73 - Supersense Disambiguation of English Prepositions and Possessives, with Nathan Schneider
72 - The Anatomy Question Answering Task, with Jordan Boyd-Graber
71 - DuoRC: Complex Language Understanding with Paraphrased Reading Comprehension, with Amrita Saha
70 - Measuring the Evolution of a Scientific Field through Citation Frames, with David Jurgens
69 - Second language acquisition modeling, with Burr Settles
68 - Neural models of factuality, with Rachel Rudinger
67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman
66 - Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods, with Jieyu Zhao
65 - Event Representations with Tensor-based Compositions, with Niranjan Balasubramanian
64 - Neural Network Models for Sentence Pair Tasks, with Wuwei Lan and Wei Xu
63 - Neural Lattice Language Models, with Jacob Buckman
62 - Sounding Board: A User-Centric and Content-Driven Social Chatbot, with Hao Fang
61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji
60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne
59 - Weakly Supervised Semantic Parsing With Abstract Examples, with Omer Goldman
58 - Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers, with André Martins
57 - A Survey Of Cross-lingual Word Embedding Models, with Sebastian Ruder
56 - Deep contextualized word representations, with Matthew Peters
55 - Matchbox: Dispatch-driven autobatching for imperative deep learning, with James Bradbury
54 - Simulating Action Dynamics with Neural Process Networks, with Antoine Bosselut
53 - Classical Structured Prediction Losses for Sequence to Sequence Learning, with Sergey and Myle
52 - Sequence-to-Sequence Learning as Beam-Search Optimization, with Sam Wiseman
51 - A Regularized Framework for Sparse and Structured Neural Attention, with Vlad Niculae
50 - Cardinal Virtues: Extracting Relation Cardinalities from Text, with Paramita Mirza
49 - A Joint Sequential and Relational Model for Frame-Semantic Parsing, with Bishan Yang
48 - Incidental Supervision: Moving Beyond Supervised Learning, with Dan Roth
47 - Dynamic integration of background knowledge in neural NLU systems, with Dirk Weißenborn
46 - Parsing with Traces, with Jonathan Kummerfeld
45 - Build It, Break It workshop, with Allyson Ettinger and Sudha Rao