Evaluation of Synthetic Datasets for Conversational Recommender Systems. - Harsh Lara; Manoj Tiwari (CoRR, 2022)

Leveraging Large Language Models in Conversational Recommender Systems. - Luke Friedman; Sameer Ahuja; David Allen; Zhenning Tan; Hakim Sidahmed; Changbo Long; Jun Xie; Gabriel Schubiner; Ajay Patel; Harsh Lara; Brian Chu; Zexi Chen; et al. (CoRR, 2023)

Improve Mathematical Reasoning in Language Models by Automated Process Supervision. - Liangchen Luo; Yinxiao Liu; Rosanne Liu; Samrat Phatale; Harsh Lara; Yunxuan Li; Lei Shu 004; Yun Zhu; Lei Meng 008; Jiao Sun; Abhinav Rastogi (CoRR, 2024)

MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts. - Lin Ning 001; Harsh Lara; Meiqi Guo; Abhinav Rastogi (NAACL (Findings), 2025)