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ORCIDKoustav Rudra
2020 – today
- 2025
[c33]Sougata Sarkar, Aditya Badwal, Amartya Roy, Koustav Rudra, Kripabandhu Ghosh:
CryptOpiQA: A new Opinion and Question Answering dataset on Cryptocurrency. COLING 2025: 11107-11120- [c32]Koustav Rudra
, Niloy Ganguly, Jeanne Mifsud Bonnici, Eric Müller-Budack, Ritumbra Manuvie:
Disinformation and Misinformation in the Age of Generative AI. WSDM 2025: 1122-1123 - 2024
- [j12]Thi Huyen Nguyen, Marco Fisichella, Koustav Rudra:
A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs. IEEE Trans. Comput. Soc. Syst. 11(5): 6229-6241 (2024) - [j11]Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders. ACM Trans. Inf. Syst. 42(5): 117:1-117:34 (2024) - [j10]Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. ACM Trans. Inf. Syst. 42(5): 119:1-119:29 (2024) - [c31]Thi Huyen Nguyen, Koustav Rudra:
Human vs ChatGPT: Effect of Data Annotation in Interpretable Crisis-Related Microblog Classification. WWW 2024: 4534-4543 - 2023
- [j9]Koustav Rudra, Zeon Trevor Fernando, Avishek Anand:
An in-depth analysis of passage-level label transfer for contextual document ranking. Inf. Retr. J. 26(1): 13 (2023) - [j8]Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Extractive Explanations for Interpretable Text Ranking. ACM Trans. Inf. Syst. 41(4): 88:1-88:31 (2023) - [c30]Shaurya Vats, Atharva Zope, Somsubhra De, Anurag Sharma, Upal Bhattacharya, Shubham Kumar Nigam, Shouvik Kumar Guha, Koustav Rudra, Kripabandhu Ghosh:
LLMs - the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases. EMNLP (Findings) 2023: 12451-12474 - [c29]Soumyadeep Roy, Niloy Ganguly, Shamik Sural, Koustav Rudra:
Interpretable Clinical Trial Search using Pubmed Citation Network. ICDH 2023: 328-338 - [c28]Thi Huyen Nguyen, Koustav Rudra:
Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget. WWW 2023: 3959-3967 - [i14]Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl:
A Review of the Role of Causality in Developing Trustworthy AI Systems. CoRR abs/2302.06975 (2023) - [i13]Dhiraj Murthy, Constantine Caramanis, Koustav Rudra:
Understanding Lexical Biases when Identifying Gang-related Social Media Communications. CoRR abs/2304.11485 (2023) - [i12]Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders. CoRR abs/2311.01263 (2023) - [i11]Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. CoRR abs/2311.15426 (2023) - 2022
- [j7]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Kumar Guha, Arindam Pal, Koustav Rudra, Prasenjit Majumder, Dwaipayan Roy, Ayan Bandopadhyay, Procheta Sen, Paheli Bhattacharya, Aniket Deroy, Upal Bhattacharya, Subinay Adhikary, Subham Kumar Nigam:
Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022. SIGIR Forum 56(1): 11:1-11:7 (2022) - [c27]Thi Huyen Nguyen, Koustav Rudra:
Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs. CIKM 2022: 1552-1562 - [c26]Thi Huyen Nguyen, Miroslav Shaltev, Koustav Rudra:
CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs. CIKM 2022: 4941-4945 - [c25]Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. ICTIR 2022: 61-71 - [c24]Thi Huyen Nguyen, Koustav Rudra:
L3S at the TREC 2022 CrisisFACTS Track. TREC 2022 - [c23]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM 2022: 755-763 - [c22]Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes. WWW 2022: 266-276 - [c21]Thi Huyen Nguyen, Koustav Rudra:
Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs. WWW 2022: 3641-3650 - [i10]Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. CoRR abs/2207.03153 (2022) - 2021
- [j6]Koustav Rudra, Gerhard Backfried, Miroslav Shaltev, Claudia Niederée, Erick Elejalde:
My EU = Your EU? Differences in the Perception of European Issues Across Geographic Regions. IEEE Trans. Comput. Soc. Syst. 8(6): 1475-1488 (2021) - [c20]Zijian Zhang, Koustav Rudra, Avishek Anand:
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. CIKM 2021: 4823-4827 - [c19]Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh:
Incorporating domain knowledge for extractive summarization of legal case documents. ICAIL 2021: 22-31 - [c18]Jurek Leonhardt, Avishek Anand, Koustav Rudra:
L3S at the TREC 2021 Deep Learning Track. TREC 2021 - [c17]Zijian Zhang, Koustav Rudra, Avishek Anand:
Explain and Predict, and then Predict Again. WSDM 2021: 418-426 - [c16]Koustav Rudra, Danny Tran, Miroslav Shaltev:
EUDETECTOR: Leveraging Language Model to Identify EU-Related News. WWW (Companion Volume) 2021: 380-384 - [i9]Zijian Zhang, Koustav Rudra, Avishek Anand:
Explain and Predict, and then Predict again. CoRR abs/2101.04109 (2021) - [i8]Koustav Rudra, Zeon Trevor Fernando, Avishek Anand:
An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking. CoRR abs/2103.16669 (2021) - [i7]Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Learnt Sparsity for Effective and Interpretable Document Ranking. CoRR abs/2106.12460 (2021) - [i6]Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh:
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents. CoRR abs/2106.15876 (2021) - [i5]Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Fast Forward Indexes for Efficient Document Ranking. CoRR abs/2110.06051 (2021) - [i4]Zijian Zhang, Koustav Rudra, Avishek Anand:
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. CoRR abs/2110.10144 (2021) - [i3]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. CoRR abs/2112.05798 (2021) - 2020
- [c15]Koustav Rudra, Avishek Anand:
Distant Supervision in BERT-based Adhoc Document Retrieval. CIKM 2020: 2197-2200 - [i2]Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. CoRR abs/2007.05976 (2020)
2010 – 2019
- 2019
- [j5]Koustav Rudra, Ashish Sharma, Kalika Bali, Monojit Choudhury, Niloy Ganguly:
Identifying and Analyzing Different Aspects of English-Hindi Code-Switching in Twitter. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(3): 29:1-29:28 (2019) - [j4]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach. IEEE Trans. Comput. Soc. Syst. 6(5): 981-993 (2019) - [c14]Ashish Sharma, Koustav Rudra, Niloy Ganguly:
Going Beyond Content Richness: Verified Information Aware Summarization of Crisis-Related Microblogs. CIKM 2019: 921-930 - [c13]Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. CLEF 2019: 75-87 - [c12]Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani, Neville Dubash:
Identifying Multi-dimensional Information from Microblogs During Epidemics. COMAD/CODS 2019: 224-230 - [c11]Soumyadeep Roy, Koustav Rudra, Nikhil Agrawal, Shamik Sural, Niloy Ganguly:
Towards an Aspect-Based Ranking Model for Clinical Trial Search. CSoNet 2019: 209-222 - 2018
- [j3]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran:
Classifying and Summarizing Information from Microblogs During Epidemics. Inf. Syst. Frontiers 20(5): 933-948 (2018) - [j2]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Saptarshi Ghosh:
Characterizing and Countering Communal Microblogs During Disaster Events. IEEE Trans. Comput. Soc. Syst. 5(2): 403-417 (2018) - [j1]Koustav Rudra, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh:
Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters. ACM Trans. Web 12(3): 17:1-17:35 (2018) - [c10]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Prasenjit Mitra, Muhammad Imran:
Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs. SIGIR 2018: 265-274 - 2017
- [c9]Prabhat Agarwal, Ashish Sharma, Jeenu Grover, Mayank Sikka, Koustav Rudra, Monojit Choudhury:
I may talk in English but gaali toh Hindi mein hi denge : A study of English-Hindi code-switching and swearing pattern on social networks. COMSNETS 2017: 554-557 - [c8]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran:
Classifying Information from Microblogs during Epidemics. DH 2017: 104-108 - 2016
- [c7]Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Kalika Bali, Monojit Choudhury, Niloy Ganguly:
Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter? EMNLP 2016: 1131-1141 - [c6]Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenario. HT 2016: 137-147 - [c5]Rafiya Begum, Kalika Bali, Monojit Choudhury, Koustav Rudra, Niloy Ganguly:
Functions of Code-Switching in Tweets: An Annotation Framework and Some Initial Experiments. LREC 2016 - [i1]Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational and Topical Information During Crises. CoRR abs/1610.01561 (2016) - 2015
- [c4]Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh:
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach. CIKM 2015: 583-592 - [c3]Anirban Sen, Koustav Rudra, Saptarshi Ghosh:
Extracting situational awareness from microblogs during disaster events. COMSNETS 2015: 1-6 - [c2]Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh:
#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network. PAKDD (1) 2015: 108-121 - 2013
- [c1]Manjira Sinha, Koustav Rudra, Tirthankar Dasgupta, Anupam Basu:
How Word Order Affects Sentence Comprehension in Bangla: A Computational Approach to Simple Sentence. MIKE 2013: 769-779
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