Publications
Last Updated: August 2024.
An up to date list of all publications can be found on my Google Scholar profile.
2024
Dhananjay Ashok, Barnabas Poczos
TLDR: We show that prior methods for controlling text generation of base Language Models perform worse than Instruction-Tuning. We also release ConGenBench, a testbed of more difficult controllable text generation problems.
Controllable Text Generation, Domain Shift, NLP2023
Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabas Poczos
EMNLP 2023TLDR: We combine synthetic data generation and score guided decoding to outperform GPT3 on Scientific Factual Error Correction.
Selected Papers Domain Shift, Factual Grounding, NLP,Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
ACM EAAMO 2023TLDR: Introduces FeedbackLogs, an addenda to existing documentation of ML pipelines that tracks the input of multiple stakeholders.
Dhananjay Ashok, Zachary Chase Lipton
TLDR: We set the state-of-the-art in several FewShot and CrossDomain NER benchmarks with a Prompting approach.
Selected Papers Controllability, Domain Shift, NLP,2022
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh
IJCAI 2022TLDR: Using Mixed Integer Linear Programming Solvers to fine-tune Neural Networks and escape local minima during optimization.
ML2021
Dhananjay Ashok, Joseph Scott, Sebastian J Wetzel, Maysum Panju, Vijay Ganesh
AAAI 2021TLDR: A data augmentation approach that uses prior knowledge to accelerate equation discovery.
Controllability, ML