Fine-tuning Distributional Semantic Models for Closely-Related Languages. - Kushagra Bhatia; Divyanshu Aggarwal; Ashwini Vaidya (VarDial@EACL, 2021)

IndicXNLI: Evaluating Multilingual Inference for Indian Languages. - Divyanshu Aggarwal; Vivek Gupta 001; Anoop Kunchukuttan (EMNLP, 2022)

A Review of Deep Learning Techniques for Protein Function Prediction. - Divyanshu Aggarwal; Yasha Hasija (CoRR, 2022)

Evaluating Inter-Bilingual Semantic Parsing for Indian Languages. - Divyanshu Aggarwal; Vivek Gupta 001; Anoop Kunchukuttan (CoRR, 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)

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Ishaan Watts; Sunayana Sitaram (ACL (Findings), 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 (NAACL-HLT, 2024)

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; 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)

Improving Self Consistency in LLMs through Probabilistic Tokenization. - Ashutosh Sathe; Divyanshu Aggarwal; 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)

Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Sunayana Sitaram (CoRR, 2024)

Improving Consistency in LLM Inference using Probabilistic Tokenization. - Ashutosh Sathe; Divyanshu Aggarwal; Sunayana Sitaram (NAACL (Findings), 2025)