Dheeraj Mekala

According to our database, Dheeraj Mekala authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

When is the consistent prediction likely to be a correct prediction?

Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang

CoRR, 2024

DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering.

Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

TOOLVERIFIER: Generalization to New Tools via Self-Verification.

Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.

Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.

Dheeraj Mekala, Alex Nguyen, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase.

Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang

CoRR, 2023

ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models.

Dheeraj Mekala, Jason Andrew Wolfe, Subhro Roy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.

Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.

Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.

Dheeraj Mekala, Tu Vu, Jingbo Shang

CoRR, 2022

Progressive Sentiment Analysis for Code-Switched Text Data.

Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Leveraging QA Datasets to Improve Generative Data Augmentation.

Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.

Dheeraj Mekala, Chengyu Dong, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

News Meets Microblog: Hashtag Annotation via Retriever-Generator.

Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang

CoRR, 2021

X-Class: Text Classification with Extremely Weak Supervision.

Zihan Wang, Dheeraj Mekala, Jingbo Shang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data.

Dheeraj Mekala, Varun Gangal, Jingbo Shang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BFClass: A Backdoor-free Text Classification Framework.

Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

META: Metadata-Empowered Weak Supervision for Text Classification.

Dheeraj Mekala, Xinyang Zhang, Jingbo Shang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextualized Weak Supervision for Text Classification.

Dheeraj Mekala, Jingbo Shang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss.

Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick

CoRR, 2018

User bias removal in review score prediction.

Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations.

Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

User Bias Removal in Fine Grained Sentiment Analysis.

Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Janish Jindal, Harish Karnick

CoRR, 2016

Text classification with sparse composite document vectors.

Dheeraj Mekala, Vivek Gupta, Harish Karnick

CoRR, 2016