Siddhant Garg

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 43

Top Topics

Text Classification

Natural Language

Question Answering

Top Venues

Publications

Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti
Measuring Retrieval Complexity in Question Answering Systems. CoRR (2024)
Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra
ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution. EACL (Findings) (2024)
Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti
Measuring Retrieval Complexity in Question Answering Systems. ACL (Findings) (2024)
Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra
Towards Improved Multi-Source Attribution for Long-Form Answer Generation. NAACL-HLT (2024)
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
Context-Aware Transformer Pre-Training for Answer Sentence Selection. ACL (2) (2023)
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators. ACL (1) (2023)
Siddhant Garg, Lijun Zhang, Hui Guan
Structured Pruning for Multi-Task Deep Neural Networks. CoRR (2023)
Marios Loizou, Siddhant Garg, Dmitry Petrov, Melinos Averkiou, Evangelos Kalogerakis
Cross-Shape Attention for Part Segmentation of 3D Point Clouds. Comput. Graph. Forum 42 (5) (2023)
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators. CoRR (2023)
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References. CoRR (2023)
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References. IJCNLP (2) (2023)
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
Context-Aware Transformer Pre-Training for Answer Sentence Selection. CoRR (2023)
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. CoRR (2022)
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
Paragraph-based Transformer Pre-training for Multi-Sentence Inference. NAACL-HLT (2022)
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
Paragraph-based Transformer Pre-training for Multi-Sentence Inference. CoRR (2022)
Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang
Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Siddhant Garg, Mudit Chaudhary
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds. CoRR (2022)
Siddhant Garg, Dhruval Jain
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent. CoRR (2022)
Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
Knowledge Transfer from Answer Ranking to Answer Generation. EMNLP (2022)
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. EMNLP (2022)
Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
Knowledge Transfer from Answer Ranking to Answer Generation. CoRR (2022)
Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe
Towards Robustness to Label Noise in Text Classification via Noise Modeling. CoRR (2021)
Siddhant Garg, Alessandro Moschitti
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering. CoRR (2021)
Siddhant Garg, Alessandro Moschitti
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering. EMNLP (1) (2021)
Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. CoRR (2021)
Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang
An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR (2021)
Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe
Towards Robustness to Label Noise in Text Classification via Noise Modeling. CIKM (2021)
Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. BMVC (2021)
Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. AACL/IJCNLP (2020)
Siddhant Garg, Goutham Ramakrishnan
BAE: BERT-based Adversarial Examples for Text Classification. CoRR (2020)
Siddhant Garg, Goutham Ramakrishnan
Advances in Quantum Deep Learning: An Overview. CoRR (2020)
Siddhant Garg, Yingyu Liang
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. CoRR (2020)
Siddhant Garg, Thuy Vu, Alessandro Moschitti
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. AAAI (2020)
Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
Can Adversarial Weight Perturbations Inject Neural Backdoors. CIKM (2020)
Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. CoRR (2020)
Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
Can Adversarial Weight Perturbations Inject Neural Backdoors? CoRR (2020)
Siddhant Garg, Yingyu Liang
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. NeurIPS (2020)
Siddhant Garg, Goutham Ramakrishnan
BAE: BERT-based Adversarial Examples for Text Classification. EMNLP (1) (2020)
Siddhant Garg, Aditya Kumar Akash
Stochastic Bandits with Delayed Composite Anonymous Feedback. CoRR (2019)
Siddhant Garg
Data Ordering Patterns for Neural Machine Translation: An Empirical Study. CoRR (2019)
Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe
Interpretable Inference Graphs for Face Recognition. IVCNZ (2019)
Siddhant Garg, Thuy Vu, Alessandro Moschitti
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. CoRR (2019)
Shiv Shankar, Siddhant Garg, Sunita Sarawagi
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. EMNLP (2018)
Gaurav Bansal, Deepak Vijayvargiya, Siddhant Garg, Sandeep Kumar Singh
An Approach to Identify and Manage Interoperability of Class Diagrams in Visual Paradigm and MagicDraw Tools. IC3 (2) (2010)