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ORCIDRahul Aralikatte
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2020 – today
- 2024
[c24]Victor Carbune, Hassan Mansoor, Fangyu Liu, Rahul Aralikatte, Gilles Baechler, Jindong Chen, Abhanshu Sharma:
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs. NAACL-HLT (Findings) 2024: 989-1004- [i23]Victor Carbune, Hassan Mansoor, Fangyu Liu, Rahul Aralikatte, Gilles Baechler, Jindong Chen, Abhanshu Sharma:
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs. CoRR abs/2403.12596 (2024) - 2023
- [c23]Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung:
Varta: A Large-Scale Headline-Generation Dataset for Indic Languages. ACL (Findings) 2023: 3468-3492 - [c22]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: 12402-12426 - [c21]Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune:
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. CoNLL 2023: 221-237 - [i22]Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung:
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages. CoRR abs/2305.05858 (2023) - [i21]Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune:
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. CoRR abs/2310.08394 (2023) - 2022
- [j1]Ruixiang Cui
, Rahul Aralikatte, Heather C. Lent, Daniel Hershcovich:
Compositional Generalization in Multilingual Semantic Parsing over Wikidata. Trans. Assoc. Comput. Linguistics 10: 937-955 (2022) - [i20]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 abs/2212.05409 (2022) - 2021
- [c20]Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard:
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. AAAI 2021: 12516-12525 - [c19]Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard:
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. ACL/IJCNLP (Findings) 2021: 1245-1260 - [c18]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) 2021: 6078-6095 - [c17]Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. WAT@ACL/IJCNLP 2021: 191-197 - [c16]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: 205-211 - [c15]Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard:
Ellipsis Resolution as Question Answering: An Evaluation. EACL 2021: 810-817 - [i19]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR abs/2105.11921 (2021) - [i18]Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard:
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. CoRR abs/2106.01051 (2021) - [i17]Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. CoRR abs/2106.03269 (2021) - [i16]Ruixiang Cui, Rahul Aralikatte, Heather C. Lent, Daniel Hershcovich:
Multilingual Compositional Wikidata Questions. CoRR abs/2108.03509 (2021) - 2020
- [c14]Rahul Aralikatte, Anders Søgaard:
Model-based Annotation of Coreference. LREC 2020: 74-79 - [i15]Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard:
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. CoRR abs/2010.05567 (2020)
2010 – 2019
- 2019
- [c13]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: 265-274 - [c12]Senthil Mani, Anush Sankaran, Rahul Aralikatte:
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. COMAD/CODS 2019: 171-179 - [c11]Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott:
Compositional Generalization in Image Captioning. CoNLL 2019: 87-98 - [c10]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: 1229-1235 - [c9]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: 16:1-16:11 - [c8]Shreya Khare, Rahul Aralikatte, Senthil Mani:
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization. INTERSPEECH 2019: 3208-3212 - [i14]Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani:
A Visual Programming Paradigm for Abstract Deep Learning Model Development. CoRR abs/1905.02486 (2019) - [i13]Rahul Aralikatte, Anders Søgaard:
Model-based annotation of coreference. CoRR abs/1906.10724 (2019) - [i12]Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard:
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. CoRR abs/1908.05111 (2019) - [i11]Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard:
Ellipsis and Coreference Resolution as Question Answering. CoRR abs/1908.11141 (2019) - [i10]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 abs/1909.02392 (2019) - [i9]Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott:
Compositional Generalization in Image Captioning. CoRR abs/1909.04402 (2019) - 2018
- [c7]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: 7688-7695 - [c6]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: 8210-8211 - [c5]Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat:
Democratization of Deep Learning Using DARVIZ. AAAI 2018: 8218-8219 - [c4]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. ACL (1) 2018: 1683-1693 - [c3]Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat, Senthil Mani:
Fault in your stars: an analysis of Android app reviews. COMAD/CODS 2018: 57-66 - [c2]Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani:
Sanskrit Sandhi Splitting using seq2(seq)2. EMNLP 2018: 4909-4914 - [i8]Neelamadhav Gantayat, Rahul Aralikatte, Naveen Panwar, Anush Sankaran, Senthil Mani:
Sanskrit Sandhi Splitting using seq2(seq)2. CoRR abs/1801.00428 (2018) - [i7]Senthil Mani, Anush Sankaran, Rahul Aralikatte:
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. CoRR abs/1801.01275 (2018) - [i6]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. CoRR abs/1804.07927 (2018) - [i5]Shreya Khare, Rahul Aralikatte, Senthil Mani:
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization. CoRR abs/1811.01312 (2018) - 2017
- [c1]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: 47-50 - [i4]Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat:
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. CoRR abs/1708.04915 (2017) - [i3]Naveen Panwar, Shreya Khare, Neelamadhav Gantayat, Rahul Aralikatte, Senthil Mani, Anush Sankaran:
mAnI: Movie Amalgamation using Neural Imitation. CoRR abs/1708.04923 (2017) - [i2]Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat, Senthil Mani:
Fault in your stars: An Analysis of Android App Reviews. CoRR abs/1708.04968 (2017) - [i1]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 abs/1711.02012 (2017)
Coauthor Index
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