Text classification with sparse composite document vectors. - Dheeraj Mekala; Vivek Gupta 001; Harish Karnick (CoRR, 2016)

User Bias Removal in Fine Grained Sentiment Analysis. - Rahul Wadbude; Vivek Gupta 001; Dheeraj Mekala; Janish Jindal; Harish Karnick (CoRR, 2016)

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. - Dheeraj Mekala; Vivek Gupta 001; Bhargavi Paranjape; Harish Karnick (EMNLP, 2017)

User bias removal in review score prediction. - Rahul Wadbude; Vivek Gupta 001; Dheeraj Mekala; Harish Karnick (COMAD/CODS, 2018)

Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. - Dheeraj Mekala; Vivek Gupta 001; Purushottam Kar; Harish Karnick (CoRR, 2018)

Contextualized Weak Supervision for Text Classification. - Dheeraj Mekala; Jingbo Shang (ACL, 2020)

META: Metadata-Empowered Weak Supervision for Text Classification. - Dheeraj Mekala; Xinyang Zhang 002; Jingbo Shang (EMNLP (1), 2020)

BFClass: A Backdoor-free Text Classification Framework. - Zichao Li 002; Dheeraj Mekala; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2021)

Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. - Dheeraj Mekala; Varun Gangal; Jingbo Shang (EMNLP (1), 2021)

X-Class: Text Classification with Extremely Weak Supervision. - Zihan Wang 001; Dheeraj Mekala; Jingbo Shang (NAACL-HLT, 2021)

News Meets Microblog: Hashtag Annotation via Retriever-Generator. - Xiuwen Zheng 002; Dheeraj Mekala; Amarnath Gupta; Jingbo Shang (CoRR, 2021)

LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. - Dheeraj Mekala; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2022)

Leveraging QA Datasets to Improve Generative Data Augmentation. - Dheeraj Mekala; Tu Vu; Timo Schick; Jingbo Shang (EMNLP, 2022)

Progressive Sentiment Analysis for Code-Switched Text Data. - Sudhanshu Ranjan; Dheeraj Mekala; Jingbo Shang (EMNLP (Findings), 2022)

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation. - Dheeraj Mekala; Tu Vu; Jingbo Shang (CoRR, 2022)

A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. - Zihan Wang 001; Tianle Wang 003; Dheeraj Mekala; Jingbo Shang (ACL (Findings), 2023)

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. - Dheeraj Mekala; Adithya Samavedhi; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2023)

ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models. - Dheeraj Mekala; Jason Andrew Wolfe; Subhro Roy (EMNLP, 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)

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. - Dheeraj Mekala; Alex Nguyen 003; Jingbo Shang (ACL (Findings), 2024)

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. - Yasaman Jafari; Dheeraj Mekala; Rose Yu; Taylor Berg-Kirkpatrick (EMNLP (Findings), 2024)

TOOLVERIFIER: Generalization to New Tools via Self-Verification. - Dheeraj Mekala; Jason Weston; Jack Lanchantin; Roberta Raileanu; Maria Lomeli; Jingbo Shang; Jane Dwivedi-Yu (EMNLP (Findings), 2024)

DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. - Alex Nguyen 003; Zilong Wang 002; Jingbo Shang; Dheeraj Mekala (NAACL (Demonstrations), 2024)

When is the consistent prediction likely to be a correct prediction? - Alex Nguyen 003; Dheeraj Mekala; Chengyu Dong; Jingbo Shang (CoRR, 2024)