Conference Publications
Towards Improved Multi-Source Attribution for Long-Form Answer Generation
Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra
NAACL 2024
[Paper]
ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution
Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra
EACL 2024 Findings
[Paper]
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
IJCNLP-AACL 2023 (Oral Presentation)
[Paper]
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
ACL 2023
[Paper] [Slides]
Context-Aware Transformer Pre-Training for Answer Sentence Selection
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
ACL 2023
[Paper]
Knowledge Transfer from Answer Ranking to Answer Generation
Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
EMNLP 2022
[Paper] [Poster]
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
EMNLP 2022
[Paper] [Poster]
Paragraph-based Transformer Pretraining for Multi-Sentence Inference
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
NAACL 2022
[Paper] [Code] [Poster]
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
Siddhant Garg, Alessandro Moschitti
EMNLP 2021 (Oral Presentation)
[Paper] [Slides] [Video] [Poster]
Towards Robustness to Label Noise in Text Classification via Noise Modeling
Siddhant Garg*, Goutham Ramakrishnan* , Varun Thumbe*
CIKM 2021
ICLR 2021 RobustML Workshop, S2D-OLAD Workshop
[Paper] [Code] [Slides] [Video] [Poster]
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg, Yingyu Liang
NeurIPS 2020
[Paper] [Video] [Slides] [Code] [Poster]
BAE: BERT-based Adversarial Examples for Text Classification
Siddhant Garg*, Goutham Ramakrishnan*
EMNLP 2020
[Paper] [Blog] [Slides] [Video] [Code]
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer
Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
AACL-IJCNLP 2020
[Paper] [Video] [Slides]
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg*, Adarsh Kumar*, Vibhor Goel*, Yingyu Liang
CIKM 2020
[Paper] [Code] [Video]
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
Siddhant Garg, Thuy Vu, Alessandro Moschitti
AAAI 2020 (Oral Presentation)
[Paper] [Code] [Slides] [Blog] [Poster]
Stochastic Bandits with Delayed Composite Anonymous Feedback
Siddhant Garg*, Aditya Kumar Akash*
NeurIPS 2019 Workshop on ML with Guarantees
[Paper] [Poster]
Interpretable Inference Graphs for Face Recognition
Siddhant Garg*, Goutham Ramakrishnan*, Varun Thumbe
IVCNZ 2019
[Paper] [Poster] [Slide]
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
Shiv Shankar*, Siddhant Garg*, Sunita Sarawagi
EMNLP 2018 (Oral Presentation)
[Paper] [Code] [Video] [Slides]
Journal Publications
An Analysis of Attentive Walk-Aggregating Graph Neural Networks
Mehmet F. Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang , 2021
Transactions on Machine Learning Research (TMLR) 2022
[Paper] [Code]
Under Submission
Measuring Retrieval Complexity in Question Answering Systems
Matteo Gabburo, Nicolaas Jedema, Siddhant Garg, Leonardo Ribeiro, Alessandro Moschitti
Pre-Prints
Advances in Quantum Deep Learning: An Overview
Siddhant Garg*, Goutham Ramakrishnan* , 2020
[Paper]
Data Ordering Patterns for Neural Machine Translation: An Empirical Study
Siddhant Garg , 2019
[Paper]
Theses
Understanding Representation Learning Paradigms with Applications to Low Resource Text Classification
Master’s Thesis, University of Wisconsin-Madison, 2020
Advisor: Yingyu Liang
[Thesis]
Structured Attention Sequence to Sequence Models
Bachelor’s Thesis, IIT Bombay, 2018
Advisor: Sunita Sarawagi
[Thesis] [Slides]
Teaching
[Fall 2018] CS540: Artificial Intelligence, Jerry Zhu, UW Madison
[Spring’18] CS101: Introduction to Computer Programming, Krishna S, IIT Bombay
[Fall 2017] CS305 + 341: Computer Architecture, Bhaskaran Raman, IIT Bombay
[Fall 2016] CS215: Data Analysis and Interpretation, Suyash Awate, IIT Bombay
[Fall 2015] BB101: Introduction to Biology, Soumyo Mukherjee, IIT Bombay
Academic Service
Served as an Area Chair (AC) for the following conferences:
2024: EACL (Question Answering Track)
2023: EMNLP (Question Answering Track)
Served as a reviewer for the following journals in the year:
2021: JAIR, IEEE TNNLS
Served as a reviewer for the following conferences:
2024: NAACL
2023: ICLR, ICML, ACL, NeurIPS, EMNLP
2022: ICLR, ACL, NAACL, NeurIPS, EMNLP
2021: AAAI , NAACL, ICML (Top 10% of Reviewers) , ACL (Outstanding Reviewer), SIGIR, EMNLP, NeurIPS
2020: AAAI, ACL , ESANN, EMNLP (Outstanding Reviewer) , NeurIPS (Top 10% of Reviewers)
2019: EMNLP