Kiran Ramnath — accepted AI-conference papers

2025

A Systematic Survey of Automatic Prompt Optimization Techniques

Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen +15

EMNLP 2025

Since the advent of large language models (LLMs), prompt engineering has been a crucial step for eliciting desired responses for various Natural Language Processing (NLP) tasks. However, prompt engineering remains an impediment for end users due to rapid advances in models, tasks, and associated bes

Cited by 0 Source ↗PDF ↗Scholar ↗

2021

Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering

Kiran Ramnath, Leda Sari, Mark Hasegawa-Johnson, Chang Yoo

NAACL 2021long

Although Question-Answering has long been of research interest, its accessibility to users through a speech interface and its support to multiple languages have not been addressed in prior studies. Towards these ends, we present a new task and a synthetically-generated dataset to do Fact-based Visua…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗