Project Name | Authors |
Effect of Character- and Subword-Embeddings on BiDAF Performance (summary) | Andy Kim |
Building a QA system (IID SQuAD track) (summary) | Daniel Xia |
Improving QA System Out of Domain Performance Using Data Augmentation (summary) | Amelia Saner Gilson, Lauren Pendo |
RobustQA (summary) | Swee Kiat Lim |
Building a QA system (IID SQuAD track) (summary) | Ruoyan Chen, Yi Wen |
Fine Grained Gating on SQUAD (summary) | Aaron Sidney Kaufer |
Domain Adversarial Training for QA Systems (summary) | Brynne Hurst, Danny Evan Schwartz, Xiaohong Wang |
Robust Question Answering with Task Adaptive Pretraining and Data Augmentation (summary) | Fang Guo, Qitong Cao |
Task-Adaptive Pretraining, Domain Sampling, and Data Augmentation Improve Generalized Question Answering (summary) | David Huang |
Robust Question Answering using Domain Adversarial Training (summary) | Bryan William Zhu |
Question Answering with Self-Attention (summary) | George Sarmonikas |
An Unsupervised Pretraining Task for the BiDAF Model (summary) | Julius Thomas Stener |
Building a Robust QA system using an Adversarially Trained Ensemble (summary) | Kevin Lee |
QANet for SQuAD 2.0 (summary) | Venkat Papa Rao Yerramsetti |
Extending QANet with Transformer-XL (summary) | Sheng Li |
An Analysis on the Effect of Domain Representations in Question Answering Models (summary) | Nicholas David Vasko |
Improving QA Robustness through Modified Adversarial Training (summary) | Jeffrey Stern Propp, Nebyou Temesgen Zewde |
Reformed QANet - Optimizing the Spatial Complexity of QANet (summary) | Alexander Kyle Fuster, Andrew Louis Hojel, Diana Yasmine Voevodsky |
DistiIBERT Augmented with Mixture of Local and Global Experts (summary) | Joshua Vernon Tanner, Philipp Mark Julius Reineke |
Domain-agnostic DistiIBERT for robust QA (summary) | Medina Orduna Baitemirova |
DAM-Net: Robust QA System with Data Augmentation and Multitask Learning (summary) | Siyun Li, Xi Yan, Yige Liu |
Building a QA system (IID SQuAD track) (summary) | Meenakshi Balagopal |
Examining the Effectiveness of a Mixture of Experts Model with Static Fine-tuned Experts on QA Robustness (summary) | Jack Z Xiao, Matthew Franklin Kolodner |
BiDAF Question Ansering with Character Embedding, Self-Attention, and Weighted Loss (summary) | Stephen C Ren |
Invertigation of BiDAF and implementation of QANet for Question Answering (summary) | Jiefu Deng |
Gaining More from Less Data in out-of-domain Question Answering Models (summary) | Mohammed Salman |
BiDAF with Dependency Parse Tree for Question Answering in SQUAD 2 (summary) | Mohammad Mahbubuzzaman |
Exploring First Order Gradient Approximation Meta Learning for Robust QA Systems (summary) | Christian Alexander Gabor |
Self-Attention in Question Answering (summary) | William Junjie Wang |
Faster Attention for Question Answering (summary) | Jack Beasley |
Efficiency of Dynamic Coattention with Character Level Embeddings (summary) | George Charles Younger, Michael Lin, Semir Shafi |
Question Answering on SQuAD2.0 (summary) | Aditya Kumar Srivastava, Anirudh Rao |
Improving Out-of-Domain Question Answering with Mixture of Experts (summary) | Danni Ma, Haofeng Chen |
Tackling SQuAD 2.0 Using Character Embeddings, Coattention and QANet (summary) | Devansh Sharma, Lucas Milind Haarmann |
Improving Out-of-Domain Question Answering with Auxiliary Loss and Sequential Layer Unfreezing (summary) | Jason Qin, Kai Eiji Okada |
Exploring Combinations of Character Embeddings and Coattention (summary) | Derek Chung |
Question Answering on SQuAD 2.0 using QANet with Performer FastAttention (summary) | Arpad Jozsef Tamasi |
Question Answering by QANet and Transformer-XL (summary) | Chi Wang |
Extending BiDAF and QANet NLP on SQuAD 2.0 (summary) | Minakshi Mukherjee, Suvasis Mukherjee |
Building a Robust QA System that Knows When it Doesn't Know (summary) | Diptimaya Mishra, Kumar Kumar Kallurupalli |
Improving Domain Generalization for Question Answering (summary) | Alanna Nicole Flores, Jaymee Sheng, Lilia V Chang |
Improving Out-of-Domain Question Answering Performance with Adversarial Training (summary) | Jack Lee |
Building Robust QA System with Few Sample Tuning (summary) | David Yin, LIang Yi |
Comparing Mixture of Experts and Domain Adversarial Training with Data Augmentation in Out-of-Domain Question Answering (summary) | Irena Gao, Nathan S Marks, Ricky Joshua Toh Wen Xian |
Rediscovering R-NET: An Improvement and In-Depth Analysis on SQUAD 2.0 (summary) | Jacob Tyler Wagner, Minju Kim |
Reimplementing Dynamic Chunk Reader (summary) | Elijah Wright Spiegel, Nathan James Gugel |
ALP-Net: Robust few-shot Question-Answering with Adversarial Training, Meta Learning, Data Augmentation and Answer Length Penalty (summary) | Ran Duan, Yijing Bai, Zhen Li |
Improving Question Answering on SQuAD 2.0: Exploring the QANet Architecture (summary) | Aayush Amit Agrawal, Jiwon Lee, Laikh Tewari |
Bidirectional Attention Flow with Self-Attention (summary) | Yan Liu |
QANet without Backtranslation on SQUAD 2.0 (summary) | Jacky Huang |
"Pointed" Question-Answering (summary) | Shyamoli Sanghi |
SQuAD: To QANet and Beyond (summary) | Darkhan Baimyrza |
Experimenting with BiDAF Embeddings and Coattention (summary) | Chris Tan, Makena Sierra Low |
Adversarial Training Methods for Cross-Domain Question Answering (summary) | Gino Tesei |
Context Demonstrations and Backtranslation Augmentation Techniques For a More Robust QA System (summary) | Andrea Marie Collins, Ha H.N. Tran, Sammy Ibrahim Mohammed |
Building a QA System (IID SQuAD track) (summary) | Bo Yu |
CS224N Default Final Project Report: Building a QA System Using BiDAF and Subword Modeling Techniques (summary) | Nina Prabhu, Yanichka Ariunbold |
SQuAD 2.0: Improving Performance with Optimization and Feature Engineering (summary) | Brian MacDonald Powell, Robert Andrew Schmidt |
Building a Robust QA System Via Diverse Backtranslation (summary) | Nikhil Varun Raghuraman, Pranav Ramkumar Sriram |
Question Answering with Binary Objective (summary) | Johnson Xin Jia |
Extended BiDAF with Character-Level Embedding (summary) | Alyssa Bautista Romanos, Gabe Joaquin Saldivar, Kavita Anjali Selva |
SQuAD - Refined Implementation of Contextually Enriching Passage Sequences (SQUAD-RICEPS) (summary) | Daniel Kai Classon, Ryan Dominic Peng, Thomas Wentao Jiang |
Building a Robust QA system with Data Augmentation (summary) | Robert Hu, Trinity Gaw Donohugh |
Implementations of R-NET and Character-level Embeddings on SQUAD (summary) | Luan Jiang |
Stanford CS224N SQuAD IID Default Project (summary) | Ben Iver Rocklin, Paul Mure, Tracy Cai |
Building a QA system (Robust QA track) (summary) | Ozi Anyanwu, Robert Thomas Heckerman, William Park |
Building a Robust QA system (summary) | Andrew Namil Hwang, Maxwell James Pike, Pujan Sanjay Patel |
RobustQA: Benchmarking Techniques for Domain-Agnostic Question Answering System (summary) | Yijie Sun, Zelin Li, Zhu Shen |
Dataset Augmentation and Mixture-Of-Experts Working In Concert For Few-Shot Domain Adaptation Transfer Learning (summary) | Leif Jurvetson, Rafael Xavier Esteves |
Longer-term dependency learning using Transformers-XL on SQuAD 2.0 (summary) | Belinda Chufan Mo |
BiDAF with Character and Subword Embeddings for SQuAD (summary) | Yining Zhu |
Improved QA systems for SQUAD 2.0 (summary) | Akshay Nalla, Chloe He, Pablo Gabriel Diaz-Hyland |
Meta Learning on Topics as Tasks for Robust QA Performance (summary) | Arafat Mohammed, Josh Nkoy |
Building a QA System (IID SQuAD Track) (summary) | Aniruddh Ramrakhyani |
Building QA Robustness Through Data Augmentation (summary) | Jake Ryan Chao, Ryan Phuoc-Luan Tran |
The Efficient BiIDAF (summary) | Srivardhamanan Appavoo |
Embedding and Attending: Two Hearts that Beat as One (summary) | Manuka Valentina Stratta, Raymond Yao |
Investigating the effectiveness of Transformers and Performers on SQuAD 2.0 (summary) | Derek Chong |
DA-Bert: Achieving Question-Answering Robustness via Data Augmentation (summary) | Andre Maurice Turati, Jose Calinawan Francisco, Vineet V Edupuganti |
Exploring the Architecture of QANet (summary) | Joseph Christian Pagadora, Steve Gan |
Question Answering with Co-attention and Transformer (summary) | Xintong Yu, Xiran Shi |
Meta-learning with few-shot models Analysis Final Project (summary) | Andy Chow |
Extending a BiDAF model with DCN for Question Answering (summary) | Anooshree Lauren Sengupta, Hanna Yip, Michelle Xing |
QANet for Question Answering on SQuAD2.0 (summary) | Remy Zawislak |
Robust QA with Model Agnostic Meta Learning (summary) | Raghav Ganesh Samavedam |
Exploring Improvements to the SQuAD 2.0 BiDAF Model (summary) | Aakanksha Saxena, Bihan Jiang, Lauren Yang |
Domain-Adversarial Training For Robust Question-Answering (summary) | Aditi Talati |
Sesame Street Ensemble: A Mixture of DistiIBERT Experts (summary) | Tyler Alan Consigny |
QA System with QANet (summary) | Mengman Nie, Yiwen Liu |
Improving the Robustness of QA Systems through Data Augmentation and Mixture of Experts (summary) | Mei Hao, Ruying Gao, Zhengqiu Lou |
Towards a Robust Question Answering System through Domain-adaptive Pretraining and Data Augmentation (summary) | Feng Chen |
QA System Using Feature Engineering and Self-Attention (IID SQuAD track) (summary) | Alex Maximilian Oseguera, Jay Saleh |
Coattention, Dynamic Pointing Decoders & QANet for Question Answering (summary) | Jeffrey Sun, Mehrad Mohammadi Khalesi Fard, Zhen Li |
Default Final Project: RobustQA Track (summary) | Rui Hu |
Robust Question Answering Through Data Augmentation and TAPT (summary) | Dunia Hakim |
Transformer Exploration (summary) | Aidan John Donohue, Blake Jefferson Brandon |
Extended QA System on SQuAD 2.0 (summary) | Jialin Zhu, Lingyan Hao, Yi Wei |
Character Embedding and Self Attention Mechanism with SQuAD (summary) | Tsun-Han Huang, WEI HSU CHAO |
Domain Adaptive Adversarial Feature Disentanglement for Neural Question Answering (summary) | Yichen Li,, Wei Ren, Xuran Wang |
Data Augmentation for Robust QA System (summary) | Pengfei Xing |
Improving the Performance of Previous QA Models (summary) | Cheng-Min Chiang, Yen-Yu Chang |
Building a QA System using R-net (summary) | Tianyi Liu |
Robust QA System with Task-Adaptive Pretraining, Data Augmentation, and Hyperparameter Tuning (summary) | Emily You, Kun Qian, Xingzi Xu |
RobustQA: Adversarial Training with Hyperparameter Tuning (summary) | Virat Saurabh Singh |
Multi-Task Learning and Domain-Specific Models to Improve Robustness of QA System (summary) | Anmol Gupta, Meredith Xu |
Building a QA system (IID SQuAD track) (summary) | Naoufal Layad, Youssef aitousarrah |
Robust QA with Task-Adaptive Pretraining (summary) | Jeong O Jeong |
Mixture of Experts and Back-Translation to improve QA robustness (summary) | Gokul Dharan, Hoang Ngoc Vy Thai |
A Dynamic Chunk Reader with Character Level Embeddings for Question Answering (summary) | Timothy Leo Wu |
Robust QA System with xEDA: Final Report (summary) | Alexander William Donovan, Kazuki Mogi |
Robust QA on out of domain dataset over pretraining and fine tuning (summary) | Yueheng Li |
Recurrence, Transformers, and Beam Search - Oh My! (summary) | Callan Alden Hoskins, Griffin Crosby Young |
BiDAF with Explicit Token Linguistic Features (summary) | Sifan Ye |
Building a QA system (IID SQuAD track) (summary) | Han Zhang, Fenglu Hong |
SQuAD 2.0 with BiDAF++ and QANet (summary) | Xiaoteng Lu, Yiwen Jin |
Meta Learning with Data Augmentation for Robust Out-of-domain Question Answering (summary) | Ken Wang, Lisen Deng |
BiDAF with Self-Attention for SQUAD 2.0 (summary) | Michelle Huang |
Better Learning with Lesser Data: Meta-Learning with DistiIBERT (summary) | Cheuk Hei Yuen, Linxing Yao, Simeng Qu |
Answer Pointer Inspired BiDAF And QANet For Machine Comprehension (summary) | Bingxian Chen, Fang Qin, Weiyun Jiang |
Robust Question Answering: Adversarial Learning (summary) | Mohak Goyal, Prathyusha Burugupalli, Veer Siraj Shah |
Importance Weighting for Robust QA (summary) | Elinor Brondwine |
Question-Answering with QANet for SQUAD 2.0 (summary) | Luke Daniel Miller, Martin Luke Altenburg, Swathi Vish Iyer |
Combining QANet and Retro-Reader Models (summary) | Atem John Aguer, Isaac Kipchirchir Cheruiyot, Michael Cao |
QaN I have Your Attention? Exploring Attention in Question-Answering Model Architectures (summary) | Paula Anindita Pragati |
Robust Question Answering via In-domain Adversarial Training and Out-domain Data Augmentation (summary) | Kun Guo, Yiyun Gu, Zecheng Zhang |
Comparing Model Size and Attention Layer Design Impact on Question-Answer Tasks (summary) | Roshini Ravi, Sean William Konz |
Pretraining of Transformers on Question Answering without External Data (summary) | Jeffrey David Shen |
Data Augmentation: Can BERT Do The Work For You? (summary) | Hidy Han |
RobustQA Using Data Augmentation (summary) | Rebecca Pattichis |
More Explorations with Adversarial Training in Building Robust QA System (summary) | Xiyu Wang |
Probability-Mixing: Semi-Supervised Learning in Question-Answering with Data Augmentation (summary) | Dian Huang |
The Unanswerable Gap: An Exploration of Approaches for Question Answering on SQuAD 2.0 (summary) | Eghosa Omorinola Amadin, Ruth-Ann Hazel Armstrong |
Self-attention and convolution for question answering on SQuAD 2.0: revisiting QANet (summary) | Joachim Andre Sasson, Oualid El Hajouji |
Exploration of Attention and Transformers for Question and Answering (summary) | Sing Kwan Ng |
Building a Robust QA System (summary) | Ximing Wang |
Attention-aware attention (A^3): combining coattention and self-attention for question answering (summary) | Alban Axel Zammit, Pierre Joseph Marcel Chambon |
Improve DistilIBERT-based Question Answering model performance on out-of-domain datasets by Mixing Right Experts (summary) | Kaikai Sheng |
Improved Robustness in Question-Answering via Multiple Techniques (summary) | Coco Ding, Jiankai Xiao |
QANet on SQUAD 2.0 (summary) | Siyuan Yuan |
Multi-Phase Adaptive Pretraining on DistilBERT for Compact Domain Adaptation (summary) | Anthony Acosta Perez |
QANet+: Improving QANet for Question Answering (summary) | Christopher Frederic Wolff, Moo Jin Kim |
Robust Question Answering System (summary) | Helena Huang |
Augmenting BiDAF with Per-Token Features (summary) | Viet Nguyen |
Improving Robustness of Question-Answering System Using Domain-adaptive Pretraining, Adversarial Training, Data Augmentation and Finetuning (summary) | Ju Zhang, Zhengzhi Lou |