Aakriti Agrawal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
7
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles. | Aakriti Agrawal, Mucong Ding, Chenghao Deng, Zora Che, Arjun Rajaram, Anirudh Satheesh, Bang An, C. Bayan Bruss, John Langford, Furong Huang |
| 2026 | ACL | Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings. | Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Sarvesh Baskar, Vijay Kamarshi, Andrea Fanelli, Furong Huang |
| 2025 | EMNLP | Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. | Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang |
| 2025 | NAACL | PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. | Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang |
| 2024 | ICML | WAVES: Benchmarking the Robustness of Image Watermarks. | Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang |
| 2023 | ICRA | RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. | Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha |
| 2023 | Interspeech | Learning When to Trust Which Teacher for Weakly Supervised ASR. | Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath Chennupati, Andreas Stolcke |
| 2022 | IROS | DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. | Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha |