Dheeraj Mekala

38 papers A* 4Journal 21Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments.
CoRR
Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom
2025 J jnl
ARE: Scaling Up Agent Environments and Evaluations.
CoRR
Pierre Andrews, Amine Benhalloum, Gerard Moreno-Torres Bertran, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Romain Froger, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Grégoire Mialon, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Thomas Scialom, Vladislav Vorotilov, Mengjue Wang, Ian Yu
2024 — conf
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering.
NAACL (Demonstrations)
Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala
2024 J jnl
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering.
CoRR
Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala
2024 — conf
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
EMNLP (Findings)
Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
2024 J jnl
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
CoRR
Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick
2024 — conf
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.
ACL (Findings)
Dheeraj Mekala, Alex Nguyen, Jingbo Shang
2024 J jnl
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.
CoRR
Dheeraj Mekala, Alex Nguyen, Jingbo Shang
2024 — conf
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
EMNLP (Findings)
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024 J jnl
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
CoRR
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024 J jnl
When is the consistent prediction likely to be a correct prediction?
CoRR
Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2023 — conf
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.
ACL (Findings)
Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang
2023 J jnl
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.
CoRR
Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang
2023 J jnl
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase.
CoRR
Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang
2023 — conf
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.
EMNLP (Findings)
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023 J jnl
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.
CoRR
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023 A* conf
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models.
EMNLP
Dheeraj Mekala, Jason Andrew Wolfe, Subhro Roy
2022 J jnl
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.
CoRR
Dheeraj Mekala, Tu Vu, Jingbo Shang
2022 — conf
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.
EMNLP (Findings)
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2022 J jnl
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.
CoRR
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2022 A* conf
Leveraging QA Datasets to Improve Generative Data Augmentation.
EMNLP
Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang
2022 — conf
Progressive Sentiment Analysis for Code-Switched Text Data.
EMNLP (Findings)
Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang
2022 J jnl
Progressive Sentiment Analysis for Code-Switched Text Data.
CoRR
Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang
2022 J jnl
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models.
CoRR
Dheeraj Mekala, Jason Andrew Wolfe, Subhro Roy
2021 — conf
BFClass: A Backdoor-free Text Classification Framework.
EMNLP (Findings)
Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2021 J jnl
BFClass: A Backdoor-free Text Classification Framework.
CoRR
Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2021 — conf
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data.
EMNLP (1)
Dheeraj Mekala, Varun Gangal, Jingbo Shang
2021 J jnl
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data.
CoRR
Dheeraj Mekala, Varun Gangal, Jingbo Shang
2021 J jnl
News Meets Microblog: Hashtag Annotation via Retriever-Generator.
CoRR
Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang
2021 — conf
X-Class: Text Classification with Extremely Weak Supervision.
NAACL-HLT
Zihan Wang, Dheeraj Mekala, Jingbo Shang
2020 A* conf
Contextualized Weak Supervision for Text Classification.
ACL
Dheeraj Mekala, Jingbo Shang
2020 — conf
META: Metadata-Empowered Weak Supervision for Text Classification.
EMNLP (1)
Dheeraj Mekala, Xinyang Zhang, Jingbo Shang
2020 J jnl
X-Class: Text Classification with Extremely Weak Supervision.
CoRR
Zihan Wang, Dheeraj Mekala, Jingbo Shang
2018 J jnl
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss.
CoRR
Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick
2018 — conf
User bias removal in review score prediction.
COMAD/CODS
Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick
2017 A* conf
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations.
EMNLP
Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick
2016 J jnl
Text classification with sparse composite document vectors.
CoRR
Dheeraj Mekala, Vivek Gupta, Harish Karnick
2016 J jnl
User Bias Removal in Fine Grained Sentiment Analysis.
CoRR
Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Janish Jindal, Harish Karnick