3 papers
cs.CL2025
WHODUNIT: Evaluation benchmark for culprit detection in mystery stories
Kshitij Gupta
We present a novel data set, WhoDunIt, to assess the deductive reasoning capabilities of large language models (LLM) within narrative contexts. Constructed from open domain mystery…
cs.CL2022
Data Augmentation for Automated Essay Scoring using Transformer Models
Kshitij Gupta
Automated essay scoring is one of the most important problem in Natural Language Processing. It has been explored for a number of years, and it remains partially solved. In additio…
cs.CL2022
MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation
Kshitij Gupta
Large pre-trained language models have brought remarkable progress in NLP. Pre-training and Fine-tuning have given state-of-art performance across tasks in text processing. Data Au…