Rahul Aralikatte

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 47

Top Topics

Automatic Speech Recognition Systems

Semantic Parsing

Coreference Resolution

Top Venues

Publications

Victor Carbune, Hassan Mansoor, Fangyu Liu, Rahul Aralikatte, Gilles Baechler, Jindong Chen, Abhanshu Sharma
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs. CoRR (2024)
Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung
Varta: A Large-Scale Headline-Generation Dataset for Indic Languages. ACL (Findings) (2023)
Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. CoNLL (2023)
Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. ACL (1) (2023)
Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. CoRR (2023)
Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages. CoRR (2023)
Ruixiang Cui, Rahul Aralikatte, Heather C. Lent, Daniel Hershcovich
Compositional Generalization in Multilingual Semantic Parsing over Wikidata. Trans. Assoc. Comput. Linguistics 10 (2022)
Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. CoRR (2022)
Rahul Aralikatte, Héctor Ricardo Murrieta Bello, Daniel Hershcovich, Marcel Bollmann, Anders Søgaard
How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task. WAT@ACL/IJCNLP (2021)
Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard
Itihasa: A large-scale corpus for Sanskrit to English translation. CoRR (2021)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR (2021)
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. CoRR (2021)
Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard
Itihasa: A large-scale corpus for Sanskrit to English translation. WAT@ACL/IJCNLP (2021)
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. ACL/IJCNLP (Findings) (2021)
Ruixiang Cui, Rahul Aralikatte, Heather C. Lent, Daniel Hershcovich
Multilingual Compositional Wikidata Questions. CoRR (2021)
Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard
Ellipsis Resolution as Question Answering: An Evaluation. EACL (2021)
Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. AAAI (2021)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) (2021)
Rahul Aralikatte, Anders Søgaard
Model-based Annotation of Coreference. LREC (2020)
Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. CoRR (2020)
Senthil Mani, Anush Sankaran, Rahul Aralikatte
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. COMAD/CODS (2019)
Shreya Khare, Rahul Aralikatte, Senthil Mani
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization. INTERSPEECH (2019)
Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. DeepLo@EMNLP-IJCNLP (2019)
Rahul Aralikatte, Heather C. Lent, Ana Valeria González-Garduño, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard
Rewarding Coreference Resolvers for Being Consistent with World Knowledge. EMNLP/IJCNLP (1) (2019)
Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard
Ellipsis and Coreference Resolution as Question Answering. CoRR (2019)
Rahul Aralikatte, Anders Søgaard
Model-based annotation of coreference. CoRR (2019)
Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. CoRR (2019)
Srikanth G. Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani
A visual programming paradigm for abstract deep learning model development. IndiaHCI (2019)
Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott
Compositional Generalization in Image Captioning. CoNLL (2019)
Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani
A Visual Programming Paradigm for Abstract Deep Learning Model Development. CoRR (2019)
Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott
Compositional Generalization in Image Captioning. CoRR (2019)
Rahul Aralikatte, Heather C. Lent, Ana Valeria González-Garduño, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard
Rewarding Coreference Resolvers for Being Consistent with World Knowledge. CoRR (2019)
Senthil Mani, Anush Sankaran, Rahul Aralikatte
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. CoRR (2018)
Neelamadhav Gantayat, Rahul Aralikatte, Naveen Panwar, Anush Sankaran, Senthil Mani
. CoRR (2018)
Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat
Democratization of Deep Learning Using DARVIZ. AAAI (2018)
Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. ACL (1) (2018)
Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan
Agent Assist: Automating Enterprise IT Support Help Desks. AAAI (2018)
Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. CoRR (2018)
Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat, Senthil Mani
Fault in your stars: an analysis of Android app reviews. COMAD/CODS (2018)
Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan
Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks. AAAI (2018)
Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani
Sanskrit Sandhi Splitting using seq2(seq)2. EMNLP (2018)
Shreya Khare, Rahul Aralikatte, Senthil Mani
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization. CoRR (2018)
Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat, Senthil Mani
Fault in your stars: An Analysis of Android App Reviews. CoRR (2017)
Naveen Panwar, Shreya Khare, Neelamadhav Gantayat, Rahul Aralikatte, Senthil Mani, Anush Sankaran
mAnI: Movie Amalgamation using Neural Imitation. CoRR (2017)
Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. CoRR (2017)
Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan
Hi, how can I help you?: Automating enterprise IT support help desks. CoRR (2017)
Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. ICSE-NIER (2017)