| 2025 | EMNLP | Memory-QA: Answering Recall Questions Based on Multimodal Memories. | Hongda Jiang, Xinyuan Zhang, Siddhant Garg, Rishab Arora, Shiunzu Kuo, Jiayang Xu, Aaron Colak, Xin Luna Dong |
| 2024 | ACL | Measuring Retrieval Complexity in Question Answering Systems. | Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti |
| 2024 | EACL | ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution. | Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra |
| 2024 | NAACL | Towards Improved Multi-Source Attribution for Long-Form Answer Generation. | Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra |
| 2023 | ACL | Learning Answer Generation using Supervision from Automatic Question Answering Evaluators. | Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti |
| 2023 | ACL | Context-Aware Transformer Pre-Training for Answer Sentence Selection. | Luca Di Liello, Siddhant Garg, Alessandro Moschitti |
| 2023 | IJCNLP | SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References. | Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti |
| 2022 | EMNLP | Knowledge Transfer from Answer Ranking to Answer Generation. | Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti |
| 2022 | EMNLP | Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. | Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti |
| 2022 | NAACL | Paragraph-based Transformer Pre-training for Multi-Sentence Inference. | Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti |
| 2021 | BMVC | A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. | Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana |
| 2021 | CIKM | Towards Robustness to Label Noise in Text Classification via Noise Modeling. | Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe |
| 2021 | EMNLP | Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering. | Siddhant Garg, Alessandro Moschitti |
| 2020 | AAAI | TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. | Siddhant Garg, Thuy Vu, Alessandro Moschitti |
| 2020 | CIKM | Can Adversarial Weight Perturbations Inject Neural Backdoors. | Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang |
| 2020 | EMNLP | BAE: BERT-based Adversarial Examples for Text Classification. | Siddhant Garg, Goutham Ramakrishnan |
| 2020 | IJCNLP | Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. | Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang |
| 2019 | IVCNZ | Interpretable Inference Graphs for Face Recognition. | Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe |
| 2018 | EMNLP | Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. | Shiv Shankar, Siddhant Garg, Sunita Sarawagi |