Dipika Khullar

According to our database, Dipika Khullar authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Self-Attribution Bias: When AI Monitors Go Easy on Themselves.

Dipika Khullar, Jack Hopkins, Rowan Wang, Fabien Roger

CoRR, March, 2026

2025

Co-Evolving Agents: Learning from Failures as Hard Negatives.

Yeonsung Jung, Trilok Padhi, Sina Shaham, Dipika Khullar, Joonhyun Jeong, Ninareh Mehrabi, Eunho Yang

CoRR, November, 2025

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation.

Israfel Salazar, Manuel Fernández Burda, Shayekh Bin Islam, Arshia Soltani Moakhar, Shivalika Singh, Fabian Farestam, Angelika Romanou, Danylo Boiko, Dipika Khullar, Mike Zhang, Dominik Krzeminski, Jekaterina Novikova, Luísa Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovic, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia Soltani Moakhar, Gabriel da Costa Merlin, Otávio Ferracioli Coletti, Maral Jabbarishiviari, MohammadAmin farahani fard, Silvia Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, André Guarnier de Mitri, Leticia Bossatto Marchezi, Setayesh Heydari, Johan S. Obando-Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee

CoRR, April, 2025

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning.

Chan Young Park, Jillian Fisher, Marius Memmel, Dipika Khullar, Seoho Yun, Abhishek Gupta, Yejin Choi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Improved Few-Shot Image Classification Through Multiple-Choice Questions.

Dipika Khullar, Emmett Goodman, Negin Sokhandan

CoRR, 2024

2022

Anomaly Detection for Spatiotemporal Data in Action.

Guang Yang, Ninad Kulkarni, Paavani Dua, Dipika Khullar, Alex Anto Chirayath

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022