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Rajdeep Mukherjee
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- affiliation: University of Oxford, UK
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2020 – today
- 2024
- [j5]Ben Liblit, Yingjun Lyu, Rajdeep Mukherjee, Omer Tripp, Yanjun Wang:
User-assisted code query customization and optimization. Int. J. Softw. Tools Technol. Transf. 26(5): 607-619 (2024) - [j4]Soham Poddar
, Rajdeep Mukherjee
MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts. ACM Trans. Web 18(3): 35:1-35:26 (2024) - [c34]Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh:
How COVID-19 Has Impacted the Anti-vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era. ICWSM 2024: 1276-1288 - [c33]Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. NAACL-HLT 2024: 7391-7403 - [c32]Sachin Farfade
Scaling Use-case Based Shopping using LLMs. WSDM 2024: 1165-1166 - [i21]Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh:
How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era. CoRR abs/2404.01669 (2024) - [i20]Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. CoRR abs/2405.06671 (2024) - 2023
- [c31]Debtanu Datta
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. EMNLP 2023: 5291-5302 - [c30]Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction. EMNLP (Findings) 2023: 12065-12080 - [c29]Ben Liblit, Linghui Luo
Shifting Left for Early Detection of Machine-Learning Bugs. FM 2023: 584-597 - [c28]Linghui Luo
Long-term Static Analysis Rule Quality Monitoring Using True Negatives. ICSE-SEIP 2023: 315-326 - [c27]Sedick Baker Effendi, Berk Çirisci, Rajdeep Mukherjee, Hoan Anh Nguyen, Omer Tripp:
A Language-agnostic Framework for Mining Static Analysis Rules from Code Changes. ICSE-SEIP 2023: 327-339 - [c26]Brett Piggott
Net-GPT: A LLM-Empowered Man-in-the-Middle Chatbot for Unmanned Aerial Vehicle. SEC 2023: 287-293 - [c25]Balakrishnan Dharmalingam, Ibrahim Odat, Rajdeep Mukherjee, Brett Piggott, Anyi Liu:
Heterogeneous Generative Dataset for UASes. MOST 2023: 229-230 - [c24]Ben Liblit, Yingjun Lyu, Rajdeep Mukherjee, Omer Tripp, Yanjun Wang:
User-Assisted Code Query Optimization. SOAP@PLDI 2023: 40-46 - [i19]Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal:
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction. CoRR abs/2310.15577 (2023) - [i18]Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh:
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. CoRR abs/2310.18600 (2023) - 2022
- [c23]Rajdeep Mukherjee, Omer Tripp, Ben Liblit, Michael Wilson:
Static Analysis for AWS Best Practices in Python Code. ECOOP 2022: 14:1-14:28 - [c22]Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. EMNLP 2022: 10893-10906 - [c21]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. AACL/IJCNLP (1) 2022: 1048-1064 - [c20]Raghav R, Adarsh Vemali, Rajdeep Mukherjee:
ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach. SemEval@NAACL 2022: 1373-1381 - [c19]Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. SIGIR 2022: 3154-3164 - [c18]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM 2022: 755-763 - [i17]Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. CoRR abs/2204.13746 (2022) - [i16]Raghav R, Adarsh Vemali, Rajdeep Mukherjee:
ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach. CoRR abs/2205.00440 (2022) - [i15]Rajdeep Mukherjee, Omer Tripp, Ben Liblit, Michael Wilson:
Static Analysis for AWS Best Practices in Python Code. CoRR abs/2205.04432 (2022) - [i14]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. CoRR abs/2210.07544 (2022) - [i13]Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. CoRR abs/2210.12467 (2022) - 2021
- [c17]Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal:
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild. ECIR (2) 2021: 92-106 - [c16]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP (1) 2021: 9279-9291 - [c15]Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. SIGIR 2021: 2303-2307 - [i12]Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal:
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild. CoRR abs/2101.09449 (2021) - [i11]Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. CoRR abs/2105.03983 (2021) - [i10]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. CoRR abs/2110.04794 (2021) - [i9]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
- [c14]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. SIGIR 2020: 1825-1828 - [i8]Rajdeep Mukherjee, Saurabh Joshi, John O'Leary, Daniel Kroening, Tom Melham:
Hardware/Software Co-verification Using Path-based Symbolic Execution. CoRR abs/2001.01324 (2020) - [i7]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. CoRR abs/2006.04660 (2020) - [i6]Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta:
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter. CoRR abs/2008.09035 (2020)
2010 – 2019
- 2018
- [b1]Rajdeep Mukherjee:
Precise abstract interpretation of hardware designs. University of Oxford, UK, 2018 - [c13]Eugene Goldberg, Matthias Güdemann
Efficient verification of multi-property designs (The benefit of wrong assumptions). DATE 2018: 43-48 - [c12]Sawon Pratiher, Subhankar Chattoraj
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures. GlobalSIP 2018: 499-503 - [i5]Sawon Pratiher, Subhankar Chattoraj, Rajdeep Mukherjee:
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures. CoRR abs/1811.04230 (2018) - 2017
- [c11]Rajdeep Mukherjee, Peter Schrammel
Lifting CDCL to Template-Based Abstract Domains for Program Verification. ATVA 2017: 307-326 - [c10]Rajdeep Mukherjee, Mitra Purandare
Formal Techniques for Effective Co-verification of Hardware/Software Co-designs. DAC 2017: 35:1-35:6 - [i4]Rajdeep Mukherjee, Peter Schrammel, Leopold Haller, Daniel Kroening, Tom Melham:
Lifting CDCL to Template-based Abstract Domains for Program Verification. CoRR abs/1707.02011 (2017) - [i3]Eugene Goldberg, Matthias Güdemann, Daniel Kroening, Rajdeep Mukherjee:
Efficient Verification of Multi-Property Designs (The Benefit of Wrong Assumptions) (Extended Version). CoRR abs/1711.05698 (2017) - 2016
- [c9]Rajdeep Mukherjee, Peter Schrammel, Daniel Kroening, Tom Melham:
Unbounded safety verification for hardware using software analyzers. DATE 2016: 1152-1155 - [c8]Rajdeep Mukherjee, Saurabh Joshi, Andreas Griesmayer, Daniel Kroening
Equivalence Checking of a Floating-Point Unit Against a High-Level C Model. FM 2016: 551-558 - [c7]Rajdeep Mukherjee, Michael Tautschnig, Daniel Kroening
v2c - A Verilog to C Translator. TACAS 2016: 580-586 - [i2]Rajdeep Mukherjee, Saurabh Joshi, Andreas Griesmayer, Daniel Kroening, Tom Melham:
Equivalence Checking a Floating-point Unit against a High-level C Model (Extended Version). CoRR abs/1609.00169 (2016) - 2015
- [c6]Rajdeep Mukherjee, Daniel Kroening
Hardware Verification Using Software Analyzers. ISVLSI 2015: 7-12 - [c5]Rajdeep Mukherjee, Daniel Kroening
Equivalence Checking Using Trace Partitioning. ISVLSI 2015: 13-18 - 2014
- [j3]Pallab Dasgupta, Mandayam K. Srivas, Rajdeep Mukherjee:
Formal Hardware/Software Co-Verification of Embedded Power Controllers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(12): 2025-2029 (2014) - 2013
- [j2]Rajdeep Mukherjee, Priyankar Ghosh, Pallab Dasgupta, Ajit Pal:
An Integrated Approach for Fine-Grained Power and Peak Temperature Management During High-Level Synthesis. J. Low Power Electron. 9(3): 350-362 (2013) - [j1]Aritra Hazra, Rajdeep Mukherjee, Pallab Dasgupta, Ajit Pal, Kevin Harer, Ansuman Banerjee, Subhankar Mukherjee:
POWER-TRUCTOR: An Integrated Tool Flow for Formal Verification and Coverage of Architectural Power Intent. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(11): 1801-1813 (2013) - [c4]Rajdeep Mukherjee, Subhankar Mukherjee, Pallab Dasgupta:
Model checking of global power management strategies in software with temporal logic properties. ISEC 2013: 29-34 - [c3]Rajdeep Mukherjee, Pallab Dasgupta, Ajit Pal, Subhankar Mukherjee:
Formal Verification of Hardware / Software Power Management Strategies. VLSI Design 2013: 326-331 - [i1]Rajdeep Mukherjee, Priyankar Ghosh, Pallab Dasgupta, Ajit Pal:
A Multi-objective Perspective for Operator Scheduling using Fine-grained DVS Architecture. CoRR abs/1303.1645 (2013) - 2012
- [c2]Rajdeep Mukherjee, Priyankar Ghosh, Pallab Dasgupta, Ajit Pal:
Operator Scheduling Revisited: A Multi-objective Perspective for Fine-Grained DVS Architecture. ACITY (3) 2012: 633-648 - [c1]Rajdeep Mukherjee, Priyankar Ghosh, N. Sravan Kumar, Pallab Dasgupta, Ajit Pal:
Multi-objective Low-Power CDFG Scheduling Using Fine-Grained DVS Architecture in Distributed Framework. ISED 2012: 267-271
Coauthor Index
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