Subhabrata Mukherjee
Orcid: 0009-0004-6684-4158
According to our database1,
Subhabrata Mukherjee
authored at least 90 papers
between 2012 and 2024.
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Bibliography
2024
RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking.
CoRR, 2024
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference.
CoRR, 2023
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models.
CoRR, 2023
CoRR, 2023
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints.
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
CoRR, 2022
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models.
CoRR, 2022
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.
CoRR, 2022
Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR, 2021
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Probabilistic graphical models for credibility analysis in evolving online communities.
PhD thesis, 2017
People on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities.
CoRR, 2017
Personalized Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion.
CoRR, 2017
CoRR, 2017
Probabilistic Graphical Models for Credibility Analysis in Evolving Online Communities.
CoRR, 2017
Where the Truth Lies: Explaining the Credibility of Emerging Claims on the Web and Social Media.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013
2012
Designing an Energy Efficient Framework for Data Gathering in Wireless Sensor Network
CoRR, 2012
CoRR, 2012
WikiSent: Weakly Supervised Sentiment Analysis through Extractive Summarization with Wikipedia.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
YouCat: Weakly Supervised Youtube Video Categorization System from Meta Data & User Comments using WordNet & Wikipedia.
Proceedings of the COLING 2012, 2012
Proceedings of the COLING 2012, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012