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2020 – today
- 2025
[c5]Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram:
Improving Consistency in LLM Inference using Probabilistic Tokenization. NAACL (Findings) 2025: 4766-4778- 2024
- [c4]Divyanshu Aggarwal, Ashutosh Sathe, Ishaan Watts, Sunayana Sitaram:
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. ACL (Findings) 2024: 14824-14867 - [c3]Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram:
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. NAACL-HLT 2024: 2598-2637 - [i9]Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram:
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. CoRR abs/2401.07598 (2024) - [i8]Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Divyanshu Aggarwal, Gurarmaan Singh Panjeta, Vishal Bindal, Arnav Tuli, Rohan Paul, Parag Singla:
Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation. CoRR abs/2404.07774 (2024) - [i7]Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram:
Improving Self Consistency in LLMs through Probabilistic Tokenization. CoRR abs/2407.03678 (2024) - [i6]Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram:
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model. CoRR abs/2410.16006 (2024) - [i5]Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram:
Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models. CoRR abs/2410.16168 (2024) - 2023
- [i4]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
Evaluating Inter-Bilingual Semantic Parsing for Indian Languages. CoRR abs/2304.13005 (2023) - [i3]Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Maxamed Axmed, Kalika Bali, Sunayana Sitaram:
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. CoRR abs/2311.07463 (2023) - 2022
- [c2]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
IndicXNLI: Evaluating Multilingual Inference for Indian Languages. EMNLP 2022: 10994-11006 - [i2]Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan:
IndicXNLI: Evaluating Multilingual Inference for Indian Languages. CoRR abs/2204.08776 (2022) - [i1]Divyanshu Aggarwal, Yasha Hasija
:
A Review of Deep Learning Techniques for Protein Function Prediction. CoRR abs/2211.09705 (2022) - 2021
- [c1]Kushagra Bhatia, Divyanshu Aggarwal, Ashwini Vaidya:
Fine-tuning Distributional Semantic Models for Closely-Related Languages. VarDial@EACL 2021: 60-66
Coauthor Index
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