Dheeraj Mekala

According to our database1, Dheeraj Mekala authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
CoRR, 2024

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
CoRR, 2024

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.
CoRR, 2024

2023
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase.
CoRR, 2023

ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.
CoRR, 2022

Progressive Sentiment Analysis for Code-Switched Text Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Leveraging QA Datasets to Improve Generative Data Augmentation.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
News Meets Microblog: Hashtag Annotation via Retriever-Generator.
CoRR, 2021

X-Class: Text Classification with Extremely Weak Supervision.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BFClass: A Backdoor-free Text Classification Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
META: Metadata-Empowered Weak Supervision for Text Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextualized Weak Supervision for Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss.
CoRR, 2018

User bias removal in review score prediction.
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.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
User Bias Removal in Fine Grained Sentiment Analysis.
CoRR, 2016

Text classification with sparse composite document vectors.
CoRR, 2016


  Loading...