Dr. Amitava Das

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Alıntılar	7212	4698
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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Amit ShethNCR Chair & Prof.; Founding Director, AI Institute; U. of South Carolinasc.edu üzerinde doğrulanmış e-posta adresine sahip
Parth PatwaAmazonamazon.com üzerinde doğrulanmış e-posta adresine sahip
Björn GambäckProfessor of Language Technology, Norwegian University of Science and Technologyntnu.no üzerinde doğrulanmış e-posta adresine sahip
Aman ChadhaGenAI Leadership @ AWS • Stanford AI • UW-Madison ECE • Ex: Apple, Alexa, Nvidia, Qualcommamazon.com üzerinde doğrulanmış e-posta adresine sahip
Tanmoy ChakrabortyIIT Delhi, Indiaiitd.ac.in üzerinde doğrulanmış e-posta adresine sahip
Asif EkbalDepartment of Computer Science and Engineering, IIT Patna, Indiaiitp.ac.in üzerinde doğrulanmış e-posta adresine sahip
PYKL SrinivasIndian Institute of Information Technologyiiits.in üzerinde doğrulanmış e-posta adresine sahip
Aishwarya Naresh RegantiAmazonamazon.com üzerinde doğrulanmış e-posta adresine sahip
Vinija JainMeta | Ex: Amazon, Oracle, Palo Alto Networksmeta.com üzerinde doğrulanmış e-posta adresine sahip
Vipula RawteAI Institute of University of South Carolinamailbox.sc.edu üzerinde doğrulanmış e-posta adresine sahip
Anku RaniMassachusetts Institute of Technology, Adobe Researchmit.edu üzerinde doğrulanmış e-posta adresine sahip
S.M Towhidul Islam TonmoyApplied ML Researcher, Robi Axiata Limitediut-dhaka.edu üzerinde doğrulanmış e-posta adresine sahip
Anupam Jamatia, PhDFaculty, CSED, NIT,Agartalanita.ac.in üzerinde doğrulanmış e-posta adresine sahip
kunal chakmaNational Institute of Technology Agartalanita.ac.in üzerinde doğrulanmış e-posta adresine sahip
Shreyash MishraStudent, Indian Institute of Information Technology, Sri Cityiiits.in üzerinde doğrulanmış e-posta adresine sahip
Md Shad AkhtarIIIT Delhiiiitd.ac.in üzerinde doğrulanmış e-posta adresine sahip
S M Mehedi ZamanDoctoral Student, School of Communication & Information, Rutgers Universityrutgers.edu üzerinde doğrulanmış e-posta adresine sahip
Gitanjali KumariIndian Institute of Technology Patnaiitp.ac.in üzerinde doğrulanmış e-posta adresine sahip
Dwijen RudrapalCSE Department, NIT Agartalanita.ac.in üzerinde doğrulanmış e-posta adresine sahip
Viswanath PulabaigariIndian Institute of Information Technology Sri City, Chittooriiits.in üzerinde doğrulanmış e-posta adresine sahip

Takip et

Dr. Amitava Das

AI Institute of University of South Carolina (AIISC) + Wipro AI + IIT Patna

mailbox.sc.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

NLP CIVILIZING AI Hallucination Alignment Watermarking


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Fighting an infodemic: Covid-19 fake news dataset P Patwa, S Sharma, S Pykl, V Guptha, G Kumari, MS Akhtar, A Ekbal, ... Combating Online Hostile Posts in Regional Languages during Emergency …, 2021	454	2021
Code mixing: A challenge for language identification in the language of social media U Barman, A Das, J Wagner, J Foster Proceedings of the first workshop on computational approaches to code …, 2014	357	2014
A survey of hallucination in large foundation models V Rawte, A Sheth, A Das arXiv preprint arXiv:2309.05922, 2023	333	2023
A comprehensive survey of hallucination mitigation techniques in large language models SM Tonmoy, SM Zaman, V Jain, A Rani, V Rawte, A Chadha, A Das arXiv preprint arXiv:2401.01313, 2024	238	2024
SentiWordNet for Indian languages A Das, S Bandyopadhyay Proceedings of the eighth workshop on Asian language resouces, 56-63, 2010	201	2010
Identifying languages at the word level in code-mixed indian social media text A Das, B Gambäck International Institute of Information Technology Goa, India, 2014	192	2014
Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets AD Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL ... Proceedings of the 14th International Workshop on Semantic Evaluation …, 2020	190*	2020
Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets AD Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL ... Proceedings of the 14th International Workshop on Semantic Evaluation …, 2020	190*	2020
Purification and characterization of a thermophilic and acidophilic chitinase from Microbispora sp. V2 NN Nawani, BP Kapadnis, AD Das, AS Rao, SK Mahajan Journal of Applied Microbiology 93 (6), 965-975, 2002	158	2002
SemEval-2020 Task 8: Memotion Analysis--The Visuo-Lingual Metaphor! C Sharma, D Bhageria, W Scott, S Pykl, A Das, T Chakraborty, ... arXiv preprint arXiv:2008.03781, 2020	144	2020
Aggression and misogyny detection using BERT: A multi-task approach NS Samghabadi, P Patwa, S Pykl, P Mukherjee, A Das, T Solorio Proceedings of the second workshop on trolling, aggression and cyberbullying …, 2020	141	2020
Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages. A Jamatia, B Gambäck, A Das Recent Advances of Natural Language Processing (RANLP), 239–248, 2015	139	2015
Sentiwordnet for bangla A Das, S Bandyopadhyay Knowledge Sharing Event-4: Task 2, 1-8, 2010	131	2010
Induction of mutations for heat tolerance in potato by using *in vitro* culture and radiation A Das, SS Gosal, JS Sidhu, HS Dhaliwal Euphytica 114, 205-209, 2000	127	2000
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts TC Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam ... Proceedings of the First Workshop on Combating Online Hostile Posts in …, 2021	125*	2021
Sentiment analysis of code-mixed indian languages: An overview of sail_code-mixed shared task@ icon-2017 BG Patra, D Das, A Das arXiv preprint arXiv:1803.06745, 2018	125	2018
Shared Task on Sentiment Analysis in Indian Languages (SAIL) Tweets - An Overview. BG Patra, D Das, A Das, R Prasath Mining Intelligence and Knowledge Exploration, 2015	118	2015
Image acquisition techniques for assessment of legume quality S Mahajan, A Das, HK Sardana Trends in Food Science & Technology 42 (2), 116-133, 2015	117	2015
The troubling emergence of hallucination in large language models--an extensive definition, quantification, and prescriptive remediations V Rawte, S Chakraborty, A Pathak, A Sarkar, SM Tonmoy, A Chadha, ... arXiv preprint arXiv:2310.04988, 2023	116	2023
Code-Mixing in Social Media Text:The Last Language Identification Frontier? A Das, B Gambäck Traitement Automatique des Langues (TAL): Special Issue on Social Networks …, 2014	113*	2014

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