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ORCIDNikesh Garera
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2020 – today
- 2024
[c32]Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera:
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation. ACL (1) 2024: 12119-12134- [c31]Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya:
Product Description and QA Assisted Self-Supervised Opinion Summarization. NAACL-HLT (Findings) 2024: 2315-2332 - [i14]Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera:
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation. CoRR abs/2402.11683 (2024) - [i13]Swaroop Nath, Tejpalsingh Siledar, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Harshad Khadilkar, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera:
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization. CoRR abs/2402.15473 (2024) - [i12]Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya:
Product Description and QA Assisted Self-Supervised Opinion Summarization. CoRR abs/2404.05243 (2024) - [i11]Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Tejpalsingh Siledar, Swaroop Nath, Pushpak Bhattacharyya, Swaprava Nath, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Sudhanshu Shekhar Singh, Nikesh Garera:
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM. CoRR abs/2406.10886 (2024) - [i10]Nikhil Kothari, Ravindra Nayak, Shreyas Shetty, Amey Patil, Nikesh Garera:
A Teacher Is Worth A Million Instructions. CoRR abs/2406.19112 (2024) - 2023
- [c30]Mandar Kulkarni, Nikesh Garera, Anusua Trivedi:
Domain-specific transformer models for query translation. ACL (industry) 2023: 89-95 - [c29]Mandar Kulkarni, Kyung Kim, Nikesh Garera, Anusua Trivedi:
Label efficient semi-supervised conversational intent classification. ACL (industry) 2023: 96-102 - [c28]Abhinav Goyal, Nikesh Garera:
Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce. ACL (industry) 2023: 276-283 - [c27]Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah:
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards. EMNLP (Findings) 2023: 207-221 - [c26]Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya:
Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce. EMNLP (Findings) 2023: 13480-13491 - [c25]Raviraj Joshi, Nikesh Garera:
Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning. PACLIC 2023: 267-273 - [c24]Raviraj Joshi
, Nikesh Garera:
Code-Mixed Text-to-Speech Synthesis Under Low-Resource Constraints. SPECOM (2) 2023: 151-163 - [i9]Abhinav Goyal, Nikesh Garera:
Building Accurate Low Latency ASR for Streaming Voice Search. CoRR abs/2305.18596 (2023) - [i8]Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah:
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards. CoRR abs/2310.15259 (2023) - [i7]Raviraj Joshi, Nikesh Garera:
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints. CoRR abs/2312.01103 (2023) - [i6]Raviraj Joshi, Nikesh Garera:
Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning. CoRR abs/2312.01107 (2023) - 2022
- [c23]Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Muthusamy Chelliah, Soumya Chennabasavraj, Nikesh Garera:
Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. AMTA 2022: 83-96 - [c22]Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
ReviewMT: Sentiment Preserved E-Commerce Review Translation System. COMAD/CODS 2022: 275-279 - [c21]Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation. EAMT 2022: 239-246 - [c20]Ravindra Nayak, Nikesh Garera:
Deploying Unified BERT Moderation Model for E-Commerce Reviews. EMNLP (Industry Track) 2022: 540-547 - [c19]Abhinav Goyal, Anupam Singh, Nikesh Garera:
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English. EMNLP (Industry Track) 2022: 579-586 - [c18]Amey Patil, Nikesh Garera:
Large-scale Machine Translation for Indian Languages in E-commerce under Low Resource Constraints. EMNLP (Industry Track) 2022: 627-634 - [c17]Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah:
Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine Translation. WMT 2022: 949-954 - [i5]Mandar Kulkarni, Nikesh Garera:
Vernacular Search Query Translation with Unsupervised Domain Adaptation. CoRR abs/2208.03711 (2022) - [i4]Mandar Kulkarni, Soumya Chennabasavaraj, Nikesh Garera:
Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation. CoRR abs/2208.03713 (2022) - [i3]Abhinav Goyal, Anupam Singh, Nikesh Garera:
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English. CoRR abs/2211.07710 (2022) - 2021
- [c16]Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework. MTSummit (1) 2021: 150-162 - [c15]Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation. MTSummit (1) 2021: 243-255 - [i2]Anand A. Rajasekar, Nikesh Garera:
Answer Generation for Questions With Multiple Information Sources in E-Commerce. CoRR abs/2111.14003 (2021)
2010 – 2019
- 2013
- [j2]Xiaoyong Chai, Omkar Deshpande, Nikesh Garera, Rohit Kumar, Wang Lam, Digvijay S. Lamba, Lu Liu, Mitul Tiwari, Michel Tourn, Zoheb Vacheri, STS Prasad, Sri Subramaniam, Venky Harinarayan, Anand Rajaraman, Adel Ardalan, Sanjib Das, Paul Suganthan G. C., AnHai Doan:
Social Media Analytics: The Kosmix Story. IEEE Data Eng. Bull. 36(3): 4-12 (2013) - [j1]Rohit Kumar, Digvijay S. Lamba, Nikesh Garera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, Anand Rajaraman, Venky Harinarayan, AnHai Doan:
Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach. Proc. VLDB Endow. 6(11): 1126-1137 (2013)
2000 – 2009
- 2009
- [c14]James Mayfield, David Alexander, Bonnie J. Dorr, Jason Eisner, Tamer Elsayed, Tim Finin, Clayton Fink, Marjorie Freedman, Nikesh Garera, Paul McNamee, Saif M. Mohammad, Douglas W. Oard, Christine D. Piatko, Asad B. Sayeed, Zareen Syed, Ralph M. Weischedel, Tan Xu, David Yarowsky:
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 65-70 - [c13]Asad B. Sayeed, Tamer Elsayed, Nikesh Garera, David Alexander, Tan Xu, Douglas W. Oard, David Yarowsky, Christine D. Piatko:
Arabic Cross-Document Coreference Resolution. ACL/IJCNLP (2) 2009: 357-360 - [c12]Nikesh Garera, David Yarowsky:
Modeling Latent Biographic Attributes in Conversational Genres. ACL/IJCNLP 2009: 710-718 - [c11]Nikesh Garera, Chris Callison-Burch, David Yarowsky:
Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences. CoNLL 2009: 129-137 - [c10]Nikesh Garera, David Yarowsky:
Structural, Transitive and Latent Models for Biographic Fact Extraction. EACL 2009: 300-308 - [i1]Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer:
HLTCOE Approaches to Knowledge Base Population at TAC 2009. TAC 2009 - 2008
- [c9]Nikesh Garera, David Yarowsky:
Translating Compounds by Learning Component Gloss Translation Models via Multiple Languages. IJCNLP 2008: 403-410 - [c8]Nikesh Garera, David Yarowsky:
Minimally Supervised Multilingual Taxonomy and Translation Lexicon Induction. IJCNLP 2008: 465-472 - 2007
- [c7]Marius Pasca, Benjamin Van Durme, Nikesh Garera:
The role of documents vs. queries in extracting class attributes from text. CIKM 2007: 485-494 - [c6]Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky:
Learning from the Report-writing Behavior of Individuals. IJCAI 2007: 1641-1646 - [c5]Delip Rao, Nikesh Garera, David Yarowsky:
JHU1 : An Unsupervised Approach to Person Name Disambiguation using Web Snippets. SemEval@ACL 2007: 199-202 - 2006
- [c4]Nikesh Garera, David Yarowsky:
Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora. CoNLL 2006: 37-44 - [c3]Vincent Conitzer, Nikesh Garera:
Learning algorithms for online principal-agent problems (and selling goods online). ICML 2006: 209-216 - [c2]Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky:
A Briefing Tool that Learns Individual Report-Writing Behavior. ICTAI 2006: 527-531 - 2005
- [c1]Nikesh Garera, Alexander I. Rudnicky:
Briefing Assistant: Learning Human Summarization Behavior over Time. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 14-21
Coauthor Index
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last updated on 2024-09-26 00:54 CEST by the dblp team
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