HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning. - Zikang Xiong; Ishika Agarwal; Suresh Jagannathan (SafeAI@AAAI, 2022)

QuickAns: A Virtual Teaching Assisstant. - Ishika Agarwal; Shradha Sehgal; Varun Goyal; Prathamesh Sonawane (AIMLSystems, 2023)

Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. - Priyanka Kargupta; Ishika Agarwal; Dilek Hakkani-Tür; Jiawei Han 001 (EMNLP (Findings), 2024)

Neural Active Learning Beyond Bandits. - Yikun Ban; Ishika Agarwal; Ziwei Wu; Yada Zhu; Kommy Weldemariam; Hanghang Tong; Jingrui He (ICLR, 2024)

DELIFT: Data Efficient Language model Instruction Fine Tuning. - Ishika Agarwal; Krishnateja Killamsetty; Lucian Popa 001; Marina Danilevksy (CoRR, 2024)

Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis. - Priyanka Kargupta; Ishika Agarwal; Tal August; Jiawei Han 001 (ACL (1), 2025)

DELIFT: Data Efficient Language model Instruction Fine-Tuning. - Ishika Agarwal; Krishnateja Killamsetty; Lucian Popa 001; Marina Danilevsky (ICLR, 2025)

Data Valuation using Neural Networks for Efficient Instruction Fine-Tuning. - Ishika Agarwal; Dilek Hakkani-Tür (CoRR, 2025)

Language Specific Knowledge: Do Models Know Better in X than in English? - Ishika Agarwal; Nimet Beyza Bozdag; Dilek Hakkani-Tür (CoRR, 2025)