| Project name | Authors |
|---|
| Building a QA system through local convolution with global self-attention (poster) | Hamza El Mosor, Hugo Vergnes |
| QANet with Transformer-XL for Question Answering on SQuAD 2.0 | Shashank |
| Building a Robust QA System Via Data Augmentation | Ryota Eki |
| BiDAF with Character-Level Embeddings and Self-Attention | Julie Wang |
| Exploring the Impacts of Character Modeling, Co-Attention, and Dual Attention on BiDAF Performance (poster) | Sophia Luisa Andrikopoulos |
| Bi-Directional and Self-Attention for Question Answering on SQuAD | Meredith Martz |
| Meta-Learning and Data Augmentation for Robust Question Answering (poster) | Beining Zhou, Zhiyin Lin |
| Integrating the QANet Structure into the Default Model BiDAF for Question Answering (poster) | Thanh Huu Pham |
| Word Embedding Fine-Tuning using Graph Neural Networks on Local Word Co-Ocurrence Graphs (poster) | Federico Jose Reyes Gomez |
| Apply Mixture of Expert to improve Q&A robustness on new domains | Yue Ming Zhang |
| Meta-Learning for Question Answering on SQuAD 2.0 (poster) | Chi-Hsuan Chang |
| Question and Answering on SQuAD | Yujin Jeong |
| Robust Cross-domain Question Answering via Adversarial Training and Document Embedding Clustering | Anson Wang |
| Improving Question Answering System for Unseen Domains via Continued Pre-training with Unlabeled Data | Siyuan Du |
| Efficient QANet on SQuAD 2.0 | Yujing Zhang |
| Re-attention vs. Bi-attention: Investigating two Alignment Architectures for Neural Question Answering | Ghaith Arar |
| SQuAD v2.0 Question Answering with QANet | Peter Skvarenina |
| A Study on Adversarial Training for Robust Question Answering (poster) | Kathleen Pietruska, Laura Fee Schneider |
| A Mixture Of Experts for Out-Of-Domain Expertise (poster) | Mia Sarojini Kynadi |
| R-Net Prime (poster) | JP Reilly, Nik Alexander Caryotakis, Parker Jacob Killion |
| Improved QANet on SQuAD 2.0 (poster) | Chenyang Dai |
| RobustQA | Megan Zhang, Rishu Garg |
| Is Feature Engineering Futile? (poster) | Jacob Alan Smith |
| Pitting BiDAF and QANet Architectures for Closed-Domain QA Using a subset of SQuAD2.0 | Mateo Arbelaez Echeverri |
| Question and Answering on SQUAD 2.0 (poster) | Brandon Tri Vu, Nyle Tiber Wong, Richard Dan Chen |
| SQuAD-ing Up as a Winning Team: Character Embeddings and Dynamic Coattention Networks (poster) | Brandon Minsung Kang, Kevin Yimin Guo |
| Question Answering on SQuAD 2.0 using BiDAF and QANet (poster) | Jacklyn Ha Luu, Jane M Boettcher, Matthew Kaplan |
| Exploring Attention Mechanisms on SQuAD 2.0 (poster) | Clara Zou, Sibei Zhang, Yichen Liu |
| Insemble: A Shared-Parameter Ensembling Technique for Question-Answering (poster) | Justin Peter Lim, Luke Hansen |
| Conditioning End Tokens on the Start Token Distributions in a SQuAD-style QA System | Erdem Biyik |
| Build Robust QA System with Small Datasets using Data Augmentation and Answer Length Penalty (poster) | Hongbo Miao, Jingchao Zhang |
| Alpha and Omega? Gauging the influence of Answer-Pointer Frameworks in Question Answering Models (poster) | Eden Grown-Haeberli, Nicholas Paul-Brazeau Sanchez |
| Understanding Attention for Question Answering models (poster) | Akshatha Kamath |
| Optimizing Match-LSTM for SQuAD v2.0 (poster) | Alex Tae Lee, Peter Emeke Nsaka, Xiangyu Dong |
| Smart Chunk Reader: Stochastic Neural Chunk Selection for SQuAD (poster) | Alex Loia, Antonio Robert Ferris, Jonah Wu |
| Data Augmentation with Adversarial Examples and Back-Translation (poster) | Eunice Yang, Stephan Sharkov, Yuzu Marie-Christine Ido |
| Implemention and Analysis of Character-level (poster) | Avash Shrestha, Rohin Rajesh Manvi |
| Question Answering with Self-Matching Attention (poster) | Ankit Vikram Patel, Xavier Osmond Arguello |
| Exploring the effects of semantic tag augmentations for SQuAD (poster) | Jonathan Yi Tseng, Narvin Kankeo Phouksouvath |
| Building a QA system (IID SQuAD track) (poster) | I-Chien Lai, Pei-Wei Kao, Ta-Hsuan Chao |
| Improving a QA System for SQuAD using Attention- and Augmentation-based Methods (poster) | Amelia Alice Anne Woodward, Angela WenYue Zhao, Stone Yang |
| Robust Question-Answering using Adversarial Learning (poster) | Aasavari Dhananjay Kakne, Samarpreet Singh Pandher, Vivek Kumar |
| QANet for SQUAD 2.0 | sanjay karinje |
| Experiments in Embeddings with BiDAF (poster) | Miles John Zoltak, Sterling F Alic |
| IID SQuAD QANet Project (poster) | Claire Mei Jun Mai, Daniel Elias Guillen |
| Building a Robust Question Answering System with Meta-Learning (poster) | Doug Klink, Dylan James Cunningham |
| Explore Different Transfer Learning Methods for More Robust Q&A Models (poster) | Lucy Lu, Penny Pan |
| AlterNet: Improving Span Conditioning for Convolutional Neural Network Q&A Systems (poster) | Benjamin Andrew Korngiebel, Eva Elizabeth Batelaan, Simon Remy Camacho |
| Conditioning External and Internal Context Awareness through Attention Overload and Character-Level Embeddings (poster) | Umar Patel |
| A study of a few deep neural network structural variations for question answering systems | Shuang Feng |
| Building A Robust QA System For IID SQuAD Using Coattention, Self-Attention, and Answer Pointer Network | George Wang, Mostafa Ehab Dewidar, William L Cai |
| Extending QANet for SQuAD 2.0 (poster) | Eun Jee Sung, Ofure Mary Ebhomielen |
| QA System with Transformer-XL (poster) | Yizhi Zhang, Zhuzhu Wang |
| Using QANet to Perform Question Answering on the SQuAD 2.0 Dataset | Eric Zeng, Leon Bi, Ricky Grannis-Vu |
| Building a Natural Language Processing System to Characterize the Disease Progression in Radiology Reports (poster) | Gautham Raghupathi, Hamza El Boudali, Yusef Qazi |
| BoBA: Battle of BERTs with Data Augmentation (poster) | Ishira U Fernando, Rishi Milind Desai |
| Does data augmentation matter more than architecture design for small datasets? (poster) | Max Max Sobol Mark |
| Domain Adversarial Training for Robust QA (poster) | Abhay Singhal, Navami Jain, Shayana Aarthy Venukanthan |
| Team Xuber: Question Answering via Modified R-NET Construction (poster) | Damon Noah Zuber, Eric Xu |
| Application of Mixture of Experts in Domain-agnostic Question Answering (poster) | Jiayi Li |
| Building a QA system (Robust QA track) (poster) | Ammaar Adam, Coleman Jin Smith, Takao Yatagai |
| Improving BiDAF Heuristically and with Self-Attention for SQuAD 2.0 (poster) | Christopher Wong, Nathaniel Goenawan |
| Robust Question Answering: A study on Self-Attention Mechanism and Data Augmentation (poster) | Shicheng Xu, Yechao Zhang |
| Robust QA using Mixture of Experts | Raj Prateek Kosaraju |
| Improved QANet on SQuAD 2.0 (poster) | Matt Thomas Reed, Nicole Wen Lee |
| All for One or One for All: Ensemble of Diverse Augmentation for Self-Attention (poster) | Amir Zur, Jasper J McAvity, Tiffany Zhao |
| Building a QA System (IID SQuAD track) | Xuan Su |
| Better Few-shot Fine-tuning of Language Models for RobustQA | Daulet Tuleubayev, Jacob Tie-Shue |
| Self-Attention QA System (poster) | Aryan Chaudhary, Kevin K Yang |
| Generating Haikus with Natural Language Processing (poster) | Emily Bunnapradist, James Zheng, Raymond M Suo |
| Robust Domain Adaptation by Adversarial Training and Classification (poster) | Elliot Epstein, Nicolas Aagnes |
| MemoryBank: A Flexible Framework for Systemic Beliefs (poster) | Gabe Alexander Mudel, Julie Wang, Siyan Sylvia Li |
| SQuAD 2.0 QA with BiDAF++ & QANet (poster) | Mei Tan, Raymond Zhuo Zhang |
| Comparing Approaches to Question-Answering on SQuAD 2.0 (poster) | Ray Iyer |
| All SQuAD Needs is Self-Attention: Char-QANet (poster) | Luis Mario Alcaraz, Troy H Lawrence |
| Squadobots and Decepticonvs (poster) | Amine Elhafsi, Patrick H Washington |
| You Just Want Attention (poster) | Pranav Jain, Swastika Dutta |
| Building a Robust QA System (poster) | Amit Kumar Singh, Mohd Zahaib Mateen |
| Robust Question Answering on Out-of-Domain Data (poster) | Ranchao Yang |
| Exploring How Differences in Embeddings Change BiDAF Performance (poster) | Theo Daniel Culhane |
| Transformer-XL Architecture For Question Answering (poster) | Chenkai Mao, Colin Zheng |
| Sigmoid Based Soft Loss for F1 Optimization (poster) | Bhavik Shah, Sudeep Narala |
| Inquisition: A Reformed Question-Answering System (poster) | Andrew Gaut, Shannon Christine Yan, Zeb Mehring |
| SQuAD2.0 with Conditional End Prediction and Character Embeddings (poster) | Alaskar Alizada, Daniel Valner, David Justin Malinak |
| Out-of-domain Generalization | Akash Velu, Manasi Sharma, Nishant Jannu |
| Building QANet from Scratch | Nathaniel Galicia Chien |
| Question Answering Augmentation System: Conditional Synonym Replacement (poster) | Alexis Sierra Mack, Kaili Wang, Yara B Sevilla |
| Exploring Question Answering on SQuAD 2.0 Using Character Embeddings, Self-Attention, and QANet (poster) | Constance Horng, Daniel Ma, Jialin Zhuo |
| QANANET: Improve Question Answering By Learning Not To Answer (poster) | Ken Wang |
| Incorporating Self-Attention and Character Embeddings in a Question Answering System (poster) | Melanie Mei Zhang |
| Using Character Embedding and QANet to Improve Perfomance on Question-Answering Task (SQuAD) (poster) | Gurdeep Sullan, Takara Everest Truong |
| Building a QA system (IID SQuAD track): BiDAF with Answer Pointer (poster) | Cathy Y Wang |
| Using the DistilBERT Model to Develop a Robust System for the QA Task | Dean Zhou, Rushil Arora |
| Bidirectional Attention Flow Using Answer Pointer and QANet (poster) | Qingxi Meng, Tracy Chen |
| Exploring Domain Adversarial Training and Data (poster) | Caroline Sujin Choi, Deveshi Buch, Melinda Zhu |
| Attending in BiDAF and QANet (poster) | Lucas E Orts, Sophia Sanchez, Yanal Ramzi Qushair |
| Reproduce Simple QANet on SQuAD 2.0 (poster) | Zhengqi Zhu |
| QANet for Reading Comprehension (poster) | Ravi Rajagopal, Reetika Kumari Agarwal, Rohit Nitin Kulkarni |
| Improving SQuAD Performance through Model Combination (poster) | Matthew A Riedman |
| Building an Enhanced QA System for SQuAD 2.0 | Maya Regina Frohna |
| Self-Attention is All You Need (poster) | BRIAN WESLEY HILL, Joanne Zhou |
| Dynamic and Static Chunk Reader (DCR/SCR) on SQuAD 2.0 Task (poster) | Mahammad Shirinov, Rubens Felix Lacouture, Sho Ko |
| With Such Friends, Who Needs Enemies? Using A "Friendly" Question Type Discriminator For Robust QA Training (poster) | Filippos Nakas |
| Increasing Robustness of DistilBERT QA System with Few Sample Finetuning and Data Augmentation (poster) | Alina Chou, Anjali Sukhavasi |
| QANet and Performance on SQuAD v2.0 (poster) | Alex Zachary Fan, Yixuan Wu |
| What Complements Coattention (poster) | Olivia Hannah Weiner, Thomas Logan Mayer |
| Improving BiDAF: Character Embedding, Self-Attention, and Answer Pointer (poster) | Edward Gao |
| Robust Question-Answering with Data Augmentation and Self-Supervised Learning (poster) | Arsh Zahed, Arvind Parasuram Sridhar, Daniel Zeng |
| QAGAN: Adversarial Approach To Learning Domain Invariant Language Features (poster) | Kaiyue Wang, Shubham Shrivastava |
| Question Answering for SQUAD 2.0 | Sreya Eka Guha |
| Robust Q&BAE (poster) | Adam Arash Pahlavan, Lynn Kong, Philip Feldman Weiss |
| Building a QA system (Default IID SQuAD track) (poster) | Aaron Y. Li, Edgar Miguel Roman, Tanish Jain |
| Few-shot QA using DNN (poster) | Adil Sadik |
| Robust Question Answering Through Data Augmentation and TAPT | Dunia Hakim |
| Improving BiDAF on SQuAD 2.0 (poster) | Zachary Chen |
| Adapting and Improving QANet to SQuAD 2.0 (poster) | Brad Nikkel, Jenny J Yang |
| Exploring Mixture of Experts, In-context Learning and Data Augmentation for Building Robust QA (poster) | Chen Chen, Hanzhao Lin, Shan Lu |
| Investigating QANet’s Convolution Layer (poster) | Andy Guten Jin, Jesse Quy Doan, Matthew Michael Early |
| Coattention, QANet, and Data Augmentation for Question Answering (poster) | Scott Xu, Wenqi Li |
| Transformer-XL on QAnet (poster) | James Brandon Chao |
| Building a QA system with R-NET, additional input features, and CNN character embeddings | Yifei He |
| FAME-BERT: Stable Meta-learning for Robust Question-Answering (poster) | Bharat Khandelwal, Shubham Anand Jain |
| QaN We Pay More Attention? (poster) | Akshita Agarwal, Qianli Song, Shafat Rahman |
| Soft Contextual Data Augmentation for Robust Question Answering (poster) | Kevin Thomas Tien, Megumi Sano, Toby H Frager |
| AugmentationforOut-of-DomainRobustQuestionAnswering (poster) | German Kolosov, Juan Ignacio Langlois, Thomas Le Menestrel |
| Multi-Domain Training and Data Augmentation for Improving QA System Robustness | Ning Liu |
| Grounded Language Learning with Uncertain Instructions (poster) | Ashish Prakash Rao, Kyle Beltran Hatch, Sylvia Yuan |
| Comparing BERT and RoBERTa to Understand Minimum Wages in 2018 | Seyeon Kim, Youngchul Joo |
| Building a Robust QA system (poster) | Ivan Zhou, Julie Liu, Yuanzhe Dong |
| QANet Sr. | Melissa Fuen Lee, Suhas Pradyumna Chundi |
| Question-Answering Using Modified QANet (poster) | Xiluo He, Zachary Max Witzel |
| Improving Language Model Robustness in the Few-Shot Setting (poster) | Dhruva Bansal, Drew Kaul, Rajas Bansal |
| Experimenting with Adversarial Training for Robust QA | Jordan Amir Walker |
| R-Net and Friends (poster) | Amrita Palaparthi, Ani Vegesana, Megan Worrel |
| IID SQuAD track: Comparing QANet with BiDAF (poster) | Bingqi Sun, Chloe Liu, Shanduojiao Jiang |
| Meta-Learning for Robust QA Tasks: Learning How to Learn from Context | Thomas Haoze Yang |
| BiDAF and QANet Model Variations on SQuAD2.0 | Feiyang Liu, Huanzhong Xu, Zhuofan Xi |
| Attention Predicts "Nothing" (poster) | Mayank Gupta, Samidhpratap Singh |
| An implementation of QANet | Dongda Li |
| IID SQuAD Track: Expanding BiDAF and QANet Architectures for SQuAD (poster) | Eva Prakash, Josh Singh |
| Lightening the Load: DeLighT Blocks for Faster QA Training and Ensembling (poster) | Sam Sumner Lowe |
| Networks for Reading Comprehension | Eric Nathan Calimquim Hatch |
| Models for Question-Answering on SQuAD 2.0 | Amrita Kaur |
