Publications by Tags

Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabas Poczos

TLDR: We combine synthetic data generation and score guided decoding to outperform GPT3 on Scientific Factual Error Correction.

Dhananjay Ashok, Zachary Chase Lipton

TLDR: We set the state-of-the-art in several FewShot and CrossDomain NER benchmarks with a Prompting approach.

Dhananjay Ashok, Zachary Chase Lipton

TLDR: We set the state-of-the-art in several FewShot and CrossDomain NER benchmarks with a Prompting approach.

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

TLDR: A data augmentation approach that uses prior knowledge to accelerate equation discovery.

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.

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.

Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabas Poczos

TLDR: We combine synthetic data generation and score guided decoding to outperform GPT3 on Scientific Factual Error Correction.

Dhananjay Ashok, Zachary Chase Lipton

TLDR: We set the state-of-the-art in several FewShot and CrossDomain NER benchmarks with a Prompting approach.

Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabas Poczos

TLDR: We combine synthetic data generation and score guided decoding to outperform GPT3 on Scientific Factual Error Correction.

Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh

TLDR: Using Mixed Integer Linear Programming Solvers to fine-tune Neural Networks and escape local minima during optimization.

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

TLDR: A data augmentation approach that uses prior knowledge to accelerate equation discovery.

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.

Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabas Poczos

TLDR: We combine synthetic data generation and score guided decoding to outperform GPT3 on Scientific Factual Error Correction.

Dhananjay Ashok, Zachary Chase Lipton

TLDR: We set the state-of-the-art in several FewShot and CrossDomain NER benchmarks with a Prompting approach.