Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment. - Sai Abishek Bhaskar; Rashi Rungta; James Route; Eric Nyberg; Teruko Mitamura (BioNLP@ACL, 2019)

Structured Summarization: Unified Text Segmentation and Segment Labeling as a Generation Task. - Hakan Inan; Rashi Rungta; Yashar Mehdad (CoRR, 2022)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. - Hakan Inan; Kartikeya Upasani; Jianfeng Chi; Rashi Rungta; Krithika Iyer; Yuning Mao; Michael Tontchev; Qing Hu; Brian Fuller; Davide Testuggine; Madian Khabsa (CoRR, 2023)

Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. - Sungho Jeon 002; Ching-Feng Yeh; Hakan Inan; Wei-Ning Hsu; Rashi Rungta; Yashar Mehdad; Daniel Bikel (ICASSP Workshops, 2024)

Effective Long-Context Scaling of Foundation Models. - Wenhan Xiong; Jingyu Liu; Igor Molybog; Hejia Zhang; Prajjwal Bhargava; Rui Hou; Louis Martin; Rashi Rungta; Karthik Abinav Sankararaman; Barlas Oguz; Madian Khabsa; Han Fang; et al. (NAACL-HLT, 2024)

Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning. - Derin Cayir; Renjie Tao; Rashi Rungta; Kai Sun; Sean Chen; Haidar Khan; Minseok Kim; Julia Reinspach; Yue Liu (CoRR, 2025)