ReviewQA Dataset - [SLIDE]Presented by: Shruti Singh
Transformer Interface Arithmetic (Continued) - [SLIDE]Presented by: Shridhar Pawar
Transformer Interface Arithmetic - [SLIDE]Presented by: Shridhar Pawar
Training Compute-Optimal Large Language Models - [PDF]Presented by: Bhumik Joshi
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets - [PDF]Presented by: Suhani Mittal
Evaluating Large Language Models Trained on Code - [PDF]Presented by: Ankit Yadav
Emergent Abilities of Large Language Models - [PDF]Presented by: Rakesh Thakur
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets - [PDF]Presented by: Suhani, Hitesh & Khushal
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling - [PDF]Presented by: Yash Kokane
Langchain for LLM Application Development - [PDF] [REFERENCE]Presented by: Shridhar Pawar
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation - [SLIDE]Presented by: Rakesh Thakur
Zero-Shot Entity Linking by Reading Entity DescriptionsPresented by: Heer Ambavi
Gene2vec: Distributed Representation of Genes Based on Co-Expression Presented by: Abhavya Chandra
Learning to Read Academic Literature Presented by: Shruti Singh
BERT Presented by: Pratik Kayal
Word2Vec and GloVe Presented by: Ayush Garg
RNNs as Language Models Presented by: Naman Jain
False Information on Web and Social Media: A survey Presented by: Soumita Kandu & Vivek Srivastava
