Kiran Ramnath

According to our database, Kiran Ramnath authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

An Empirical Study of Automating Agent Evaluation.

Kang Zhou, Sangmin Woo, Haibo Ding, Kiran Ramnath, Subramanian Chidambaram, Aosong Feng, Vinayak Arannil, Muhyun Kim, Ishan Singh, Darren Yow-Bang Wang, Zhichao Xu, Megha Gandhi, Nirmal Prabhu, Soumya Smruti Mishra, Vivek Singh, Gouri Pandeshwar, Lin Lee Cheong

CoRR, May, 2026

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation.

Zhichao Xu, Zongyu Wu, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding

Trans. Mach. Learn. Res., 2026

Learning to Ideate for Machine Learning Engineering Agents.

Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation.

Bo Yuan, Yun Zhou, Zhichao Xu, Kiran Ramnath, Aosong Feng, Balasubramaniam Srinivasan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Diffusion Language Model Inference with Monte Carlo Tree Search.

Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

KDD 2025 Workshop on Prompt Optimization.

Haibo Ding, Shuai Wang, Kiran Ramnath, Yi Zhang, Lin Lee Cheong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Systematic Survey of Automatic Prompt Optimization Techniques.

Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More.

Zhichao Wang, Bin Bi, Shiva Kumar Pentyala, Kiran Ramnath, Sougata Chaudhuri, Shubham Mehrotra, Zixu James Zhu, Xiang-Bo Mao, Sitaram Asur, Na Claire Cheng

CoRR, 2024

PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning.

Shiva Kumar Pentyala, Zhichao Wang, Bin Bi, Kiran Ramnath, Xiang-Bo Mao, Regunathan Radhakrishnan, Sitaram Asur, Na Claire Cheng

CoRR, 2024

2021

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

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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings.

Kiran Ramnath, Mark Hasegawa-Johnson

CoRR, 2020