Parallel Implementation of Dynamic Programming Problems Using Wavefront and Rank Convergence with Full Resource Utilization. - Vivek Sourabh; Parth Pahariya; Isha Agarwal; Ankit Gautam; C. Ravindranath Chowdary (PDCAT, 2017)

Peer recommendation in dynamic attributed graphs. - Vivek Sourabh; C. Ravindranath Chowdary (Expert Syst. Appl., 2019)

EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection. - Shivang Agarwal; C. Ravindranath Chowdary; Vivek Sourabh (CoRR, 2021)

InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers. - Leonid Boytsov; Preksha Patel; Vivek Sourabh; Riddhi Nisar; Sayani Kundu; Ramya Ramanathan; Eric Nyberg (Trans. Mach. Learn. Res., 2024)

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs. - Forrest Sheng Bao; Miaoran Li; Renyi Qu; Ge Luo 002; Erana Wan; Yujia Tang; Weisi Fan; Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Mike Qi; Ruixuan Tu; et al. (NAACL (Short Papers), 2025)

Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation. - Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Jimmy Lin (CoRR, 2025)

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data. - Manveer Singh Tamber; Suleman Kazi; Vivek Sourabh; Jimmy Lin (CoRR, 2025)