Industry mentorship program: Past publications
- Robustness of Named Entity Replacements for In-Context Learning (EMNLP Findings 2023) by Saeed Goodarzitaeme* (UMass), Nikhil Kagita* (UMass), Dennis Minn* (UMass), Shufan Wang (UMass), Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin*, Koustuv Sinha*
Roll Call Vote Prediction with Knowledge Augmented Models, Kriti Myer, Pallavi Patil, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Amanda Stent, EMNLP 2019
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter, Pulkit Sharma, Apurva Bhandari, Shezan Rohinton Mirzan, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao, CMAI 2020
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings, Wenlong Zhao, Saurabh Kumar Shashidhar, Prafull Prakash, Subendhu Rongali, Haidar Khan, Michael Kayser, EMNLP 2020
The impact of preprint servers in the formation of novel ideas, Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman, SDP @ EMNLP 2020
Reading Comprehension as Natural Language Inference: A Semantic Analysis, Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula, SEM 2020
Fast Intent Classification for Spoken Language Understanding, Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell, ICASSP 2020
Relation-Dependent Sampling for Multi-Relational Link Prediction, Arthur Feeney, Rishabh Gupta, Rico Angell, Gayathri Chandu, Yash Adhikari, Veronkia Thost, Tengfei Ma, ICML 2020
Unsupervised Pre-training for Biomedical Question Answering, Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Ivana Williams, Andrew McCallum, Ana-Maria Istrate, BioASQ Workshop 2020