Spring 2021 Reading Schedule

Reading Schedule for Spring 2021

Paper Num.	Date	Presenter	Paper
16	02/04	Yiyun	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
10	02/11	Jiacheng	Learning Dialog Policies from Weak Demonstrations
9	02/18	Zhengzhong	Underspecification Presents Challenges for Credibility in Modern Machine Learning
7	03/04	Mithun	WELL-READ STUDENTS LEARN BETTER: ON THE IMPORTANCE OF PRE-TRAINING COMPACT MODELS
6	03/11	Andrew	An Empirical Investigation of Statistical Significance in NLP
4	03/18	Mihai	Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
3	03/25	Masha	Extracting Implicitly Asserted Propositions in Argumentation
15	04/01	Peter L	On the Dangers of Stochastic Parrots:Can Language Models Be Too Big?
12	04/08	Fan	Language Models as Knowledge Bases?
8	04/15	Zheng	ExpBERT: Representation Engineering with Natural Language Explanations
11	04/22	Hoang	A review on neural network question answering systems
5	04/29	George	Questionable Answers in Question Answering Research: Reproducibility and Variability of Published Results