Transfer Learning for Low-Resource Clinical Named Entity Recognition. - Nevasini Sasikumar; Krishna Sri Ipsit Mantri (ClinicalNLP@ACL, 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Stella Biderman; Huanqi Cao; Xin Cheng; Michael Chung; Leon Derczynski; Xingjian Du; Matteo Grella; et al. (EMNLP (Findings), 2023)

Attention Based Variational Graph Auto-Encoder (AVGAE). - Nevasini Sasikumar; Krishna Sri Ipsit Mantri (Tiny Papers @ ICLR, 2023)

Trustworthy Hybrid Decision-Making. - Krishna Sri Ipsit Mantri; Nevasini Sasikumar (PKDD/ECML Workshops (2), 2023)

Learning and Maximizing Influence in Social Networks Under Capacity Constraints. - Pritish Chakraborty; Sayan Ranu; Krishna Sri Ipsit Mantri; Abir De (WSDM, 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Huanqi Cao; Xin Cheng; Michael Chung; Matteo Grella; Kranthi Kiran G. V.; Xuzheng He; Haowen Hou; et al. (CoRR, 2023)

Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models. - Krishna Sri Ipsit Mantri; Nevasini Sasikumar (CoRR, 2023)

DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. - Krishna Sri Ipsit Mantri; Xinzhi Wang; Carola-Bibiane Schönlieb; Bruno Ribeiro 001; Beatrice Bevilacqua; Moshe Eliasof (NeurIPS, 2024)

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. - Krishna Sri Ipsit Mantri; Carola-Bibiane Schönlieb; Bruno Ribeiro 001; Chaim Baskin; Moshe Eliasof (CVPR, 2025)

OptiChat: Bridging Optimization Models and Practitioners with Large Language Models. - Hao Chen; Gonzalo Esteban Constante-Flores; Krishna Sri Ipsit Mantri; Sai Madhukiran Kompalli; Akshdeep Singh Ahluwalia; Can Li (CoRR, 2025)

FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks. - Or Feldman; Krishna Sri Ipsit Mantri; Carola-Bibiane Schönlieb; Chaim Baskin; Moshe Eliasof (CoRR, 2025)