Dhananjay Ashok

According to our database, Dhananjay Ashok authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Seamless Deception: Larger Language Models Are Better Knowledge Concealers.

Dhananjay Ashok, Ruth-Ann Armstrong, Jonathan May

CoRR, March, 2026

A Representation Sharpening Framework for Zero Shot Dense Retrieval.

Dhananjay Ashok, Suraj Nair, Mutasem Al-Darabsah, Choon Hui Teo, Tarun Agarwal, Jonathan May

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Language Models Can Predict Their Own Behavior.

Dhananjay Ashok, Jonathan May

CoRR, February, 2025

Can VLMs Recall Factual Associations From Visual References?

Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai, Jonathan May, Jesse Thomason

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

A Little Human Data Goes A Long Way.

Dhananjay Ashok, Jonathan May

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

Controllable Text Generation in the Instruction-Tuning Era.

Dhananjay Ashok, Barnabás Póczos

CoRR, 2024

2023

PromptNER: Prompting For Named Entity Recognition.

Dhananjay Ashok, Zachary C. Lipton

CoRR, 2023

The student becomes the master: Matching GPT3 on Scientific Factual Error Correction.

Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabás Póczos

CoRR, 2023

The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction.

Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabás Póczos

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

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.

Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

A Solver + Gradient Descent Training Algorithm for Deep Neural Networks.

Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Logic Guided Genetic Algorithms (Student Abstract).

Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Logic Guided Genetic Algorithms.

Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh

CoRR, 2020