Divyanshu Aggarwal

According to our database, Divyanshu Aggarwal authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Improving Consistency in LLM Inference using Probabilistic Tokenization.

Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models.

Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram

CoRR, 2024

Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model.

Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram

CoRR, 2024

Improving Self Consistency in LLMs through Probabilistic Tokenization.

Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram

CoRR, 2024

Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation.

Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Divyanshu Aggarwal, Gurarmaan Singh Panjeta, Vishal Bindal, Arnav Tuli, Rohan Paul, Parag Singla

CoRR, 2024

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models.

Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram

CoRR, 2024

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.

Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models.

Divyanshu Aggarwal, Ashutosh Sathe, Ishaan Watts, Sunayana Sitaram

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.

Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Maxamed Axmed, Kalika Bali, Sunayana Sitaram

CoRR, 2023

Evaluating Inter-Bilingual Semantic Parsing for Indian Languages.

Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan

CoRR, 2023

2022

A Review of Deep Learning Techniques for Protein Function Prediction.

Divyanshu Aggarwal, Yasha Hasija

CoRR, 2022

IndicXNLI: Evaluating Multilingual Inference for Indian Languages.

Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Fine-tuning Distributional Semantic Models for Closely-Related Languages.

Kushagra Bhatia, Divyanshu Aggarwal, Ashwini Vaidya

Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, 2021