Sai Ashish Somayajula

According to our database1, Sai Ashish Somayajula authored at least 16 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
EACL 2026 Student Research Workshop: Mentorship Program Report.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining.
Trans. Mach. Learn. Res., 2025

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization.
Trans. Mach. Learn. Res., 2025

DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

OraPlan-SQL: A Planning-Centric Framework for Complex Bilingual NL2SQL Reasoning.
Proceedings of the Knowledge Graphs - 14th International Joint Conference, 2025

Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation.
Trans. Mach. Learn. Res., 2024

Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning.
CoRR, 2024

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Multi-Level Optimization Framework for End-to-End Text Augmentation.
Trans. Assoc. Comput. Linguistics, 2022

2021
Improving Differentiable Architecture Search with a Generative Model.
CoRR, 2021

2020
Supervised Deep Learning for MIMO Precoding.
Proceedings of the 3rd IEEE 5G World Forum, 2020


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