Spring 2024 Reading Schedule

Reading Schedule for Spring 2024

Date	Presenter	Paper	Slides and Presentation
01-26-2024	Mohammad	Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
02-02-2024	Zijie	Language Models can be Logical Solvers
02-09-2024	Eduardo	Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation
02-16-2024	Mayank	Mamba: Linear-Time Sequence Modeling with Selective State Spaces
02-23-2024	Asiful	1) Commonsense Knowledge Transfer for Pre-trained Language Models 2) Pre-training Text-to-Text Transformers for Concept-centric Common Sense
03-01-2024	Abhi	Can Language Models Laugh at YouTube Short-form Videos?
03-15-2024	Portia	ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models
03-22-2024	Sadaf	1) To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing 2) Perspectives on the State and Future of Deep Learning
03-29-2024	Rey	Getting MoRE out of Mixture of Language Model Reasoning Experts
04-05-2024	Haris	1) Direct Preference Optimization: Your Language Model is Secretly a Reward Model 2) Kahneman-Tversky Optimization (Technical Report)
04-12-2024	Robert	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
04-19-2024	Mithün	Theory of Mind for Multi-Agent Collaboration via Large Language Models
04-26-2024	Fahmida	1) UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations 2) In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search
05-03	Mihai	Visual Programming: Compositional visual reasoning without training