Subhabrata Mukherjee

Orcid: 0009-0004-6684-4158

According to our database1, Subhabrata Mukherjee authored at least 86 papers between 2012 and 2023.

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Bibliography

2023
Teaching Language Models to Hallucinate Less with Synthetic Tasks.
CoRR, 2023

Task-Based MoE for Multitask Multilingual Machine Translation.
CoRR, 2023

SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference.
CoRR, 2023

Orca: Progressive Learning from Complex Explanation Traces of GPT-4.
CoRR, 2023

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models.
CoRR, 2023

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions.
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

Accelerating Dataset Distillation via Model Augmentation.
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

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers.
CoRR, 2022

AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models.
CoRR, 2022

Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners.
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

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding.
CoRR, 2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR, 2021

LiST: Lite Self-training Makes Efficient Few-shot Learners.
CoRR, 2021

Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU.
CoRR, 2021

XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation.
CoRR, 2021

Few-Shot Learning Evaluation in Natural Language Understanding.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fairness via Representation Neutralization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Training with Weak Supervision.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Meta Self-training for Few-shot Neural Sequence Labeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Third International TrueFact Workshop: Making a Credible Web for Tomorrow.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-training with Few-shot Rationalization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Adaptive Self-training for Few-shot Neural Sequence Labeling.
CoRR, 2020

Uncertainty-aware Self-training for Text Classification with Few Labels.
CoRR, 2020

TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER.
CoRR, 2020

Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
CoRR, 2020

Learning with Weak Supervision for Email Intent Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Early Detection of Fake News with Multi-source Weak Social Supervision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Uncertainty-aware Self-training for Few-shot Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Product Insights: Analyzing Product Intents in Web Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Smart To-Do: Automatic Generation of To-Do Items from Emails.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

XtremeDistil: Multi-stage Distillation for Massive Multilingual Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data.
CoRR, 2019

GhostLink: Latent Network Inference for Influence-aware Recommendation.
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

STANCY: Stance Classification Based on Consistency Cues.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Sentiment Analysis of Reviews.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

CredEye: A Credibility Lens for Analyzing and Explaining Misinformation.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

OpenTag: Open Attribute Value Extraction from Product Profiles.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning.
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

Item Recommendation with Evolving User Preferences and Experience.
CoRR, 2017

Personalized Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion.
CoRR, 2017

Credible Review Detection with Limited Information using Consistency Analysis.
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

Exploring Latent Semantic Factors to Find Useful Product Reviews.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016
Credible Review Detection with Limited Information Using Consistency Features.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Continuous Experience-aware Language Model.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Credibility Assessment of Textual Claims on the Web.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Experience-Aware Item Recommendation in Evolving Review Communities.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Leveraging Joint Interactions for Credibility Analysis in News Communities.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Help yourself: a virtual self-assist system.
Proceedings of the 23rd International World Wide Web Conference, 2014

Unsupervised approach for shallow domain ontology construction from corpus.
Proceedings of the 23rd International World Wide Web Conference, 2014

Joint Author Sentiment Topic Model.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

People on drugs: credibility of user statements in health communities.
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
Sentiment Analysis : A Literature Survey
CoRR, 2013

Intent classification of voice queries on mobile devices.
Proceedings of the 22nd International World Wide Web Conference, 2013

Incorporating author preference in sentiment rating prediction of reviews.
Proceedings of the 22nd International World Wide Web Conference, 2013

Sentiment Aggregation using ConceptNet Ontology.
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

Multisource Adaptive Data Distribution and Routing in Wireless Sensor Networks
CoRR, 2012

Adaptive Framework for Data Distribution in Wireless Sensor Networks
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

Sentiment Analysis in Twitter with Lightweight Discourse Analysis.
Proceedings of the COLING 2012, 2012

TwiSent: a multistage system for analyzing sentiment in twitter.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Feature Specific Sentiment Analysis for Product Reviews.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012


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