DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. - Anush Sankaran; Rahul Aralikatte; Senthil Mani; Shreya Khare; Naveen Panwar; Neelamadhav Gantayat (ICSE-NIER, 2017)

mAnI: Movie Amalgamation using Neural Imitation. - Naveen Panwar; Shreya Khare; Neelamadhav Gantayat; Rahul Aralikatte; Senthil Mani; Anush Sankaran (CoRR, 2017)

Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks. - Senthil Mani; Neelamadhav Gantayat; Rahul Aralikatte; Monika Gupta 002; Sampath Dechu; Anush Sankaran; Shreya Khare; Barry Mitchell; Hemamalini Subramanian; Hema Venkatarangan (AAAI, 2018)

Agent Assist: Automating Enterprise IT Support Help Desks. - Senthil Mani; Neelamadhav Gantayat; Rahul Aralikatte; Monika Gupta 002; Sampath Dechu; Anush Sankaran; Shreya Khare; Barry Mitchell; Hemamalini Subramanian; Hema Venkatarangan (AAAI, 2018)

Democratization of Deep Learning Using DARVIZ. - Anush Sankaran; Naveen Panwar; Shreya Khare; Senthil Mani; Akshay Sethi; Rahul Aralikatte; Neelamadhav Gantayat (AAAI, 2018)

DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. - Amrita Saha; Rahul Aralikatte; Mitesh M. Khapra; Karthik Sankaranarayanan (ACL (1), 2018)

Fault in your stars: an analysis of Android app reviews. - Rahul Aralikatte; Giriprasad Sridhara; Neelamadhav Gantayat; Senthil Mani (COMAD/CODS, 2018)

Sanskrit Sandhi Splitting using seq2(seq)2. - Rahul Aralikatte; Neelamadhav Gantayat; Naveen Panwar; Anush Sankaran; Senthil Mani (EMNLP, 2018)

Sanskrit Sandhi Splitting using seq2(seq)2. - Neelamadhav Gantayat; Rahul Aralikatte; Naveen Panwar; Anush Sankaran; Senthil Mani (CoRR, 2018)

Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization. - Shreya Khare; Rahul Aralikatte; Senthil Mani (CoRR, 2018)

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. - Mostafa Abdou; Cezar Sas; Rahul Aralikatte; Isabelle Augenstein; Anders Søgaard (DeepLo@EMNLP-IJCNLP, 2019)

DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. - Senthil Mani; Anush Sankaran; Rahul Aralikatte (COMAD/CODS, 2019)

Compositional Generalization in Image Captioning. - Mitja Nikolaus; Mostafa Abdou; Matthew Lamm; Rahul Aralikatte; Desmond Elliott (CoNLL, 2019)

Rewarding Coreference Resolvers for Being Consistent with World Knowledge. - Rahul Aralikatte; Heather C. Lent; Ana Valeria González-Garduño; Daniel Hershcovich; Chen Qiu 005; Anders Sandholm 001; Michael Ringaard; Anders Søgaard (EMNLP/IJCNLP (1), 2019)

A visual programming paradigm for abstract deep learning model development. - Srikanth G. Tamilselvam; Naveen Panwar; Shreya Khare; Rahul Aralikatte; Anush Sankaran; Senthil Mani (IndiaHCI, 2019)

Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization. - Shreya Khare; Rahul Aralikatte; Senthil Mani (INTERSPEECH, 2019)

Ellipsis and Coreference Resolution as Question Answering. - Rahul Aralikatte; Matthew Lamm; Daniel Hardt; Anders Søgaard (CoRR, 2019)

Model-based Annotation of Coreference. - Rahul Aralikatte; Anders Søgaard (LREC, 2020)

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. - Rahul Aralikatte; Mostafa Abdou; Heather C. Lent; Daniel Hershcovich; Anders Søgaard (AAAI, 2021)

Focus Attention: Promoting Faithfulness and Diversity in Summarization. - Rahul Aralikatte; Shashi Narayan; Joshua Maynez; Sascha Rothe; Ryan T. McDonald (ACL/IJCNLP (1), 2021)

Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. - Edoardo Maria Ponti; Rahul Aralikatte; Disha Shrivastava; Siva Reddy; Anders Søgaard (ACL/IJCNLP (Findings), 2021)

How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task. - Rahul Aralikatte; Héctor Ricardo Murrieta Bello; Daniel Hershcovich; Marcel Bollmann; Anders Søgaard (WAT@ACL/IJCNLP, 2021)

Itihasa: A large-scale corpus for Sanskrit to English translation. - Rahul Aralikatte; Miryam de Lhoneux; Anoop Kunchukuttan; Anders Søgaard (WAT@ACL/IJCNLP, 2021)

Ellipsis Resolution as Question Answering: An Evaluation. - Rahul Aralikatte; Matthew Lamm; Daniel Hardt; Anders Søgaard (EACL, 2021)

Multilingual Compositional Wikidata Questions. - Ruixiang Cui; Rahul Aralikatte; Heather C. Lent; Daniel Hershcovich (CoRR, 2021)

IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. - Sumanth Doddapaneni; Rahul Aralikatte; Gowtham Ramesh; Shreya Goyal; Mitesh M. Khapra; Anoop Kunchukuttan; Pratyush Kumar (CoRR, 2022)

Compositional Generalization in Multilingual Semantic Parsing over Wikidata. - Ruixiang Cui; Rahul Aralikatte; Heather C. Lent; Daniel Hershcovich (Trans. Assoc. Comput. Linguistics, 2022)

Varta: A Large-Scale Headline-Generation Dataset for Indic Languages. - Rahul Aralikatte; Ziling Cheng; Sumanth Doddapaneni; Jackie Chi Kit Cheung (ACL (Findings), 2023)

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. - Sumanth Doddapaneni; Rahul Aralikatte; Gowtham Ramesh; Shreya Goyal; Mitesh M. Khapra; Anoop Kunchukuttan; Pratyush Kumar (ACL (1), 2023)

Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. - Ondrej Skopek; Rahul Aralikatte; Sian Gooding; Victor Carbune (CoNLL, 2023)

Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs. - Victor Carbune; Hassan Mansoor; Fangyu Liu; Rahul Aralikatte; Gilles Baechler; Jindong Chen; Abhanshu Sharma (NAACL-HLT (Findings), 2024)