Aakriti Agrawal

21 papers A* 3A 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. NAACL (Long Papers) Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. CoRR Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings. CoRR Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Vijay Kamarshi, Andrea Fanelli, Furong Huang
2025	—	`conf`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. EMNLP (Findings) Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	J	`jnl`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. CoRR Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2024	J	`jnl`	Benchmarking the Robustness of Image Watermarks. CoRR Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2024	A*	`conf`	Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization. NeurIPS Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Animashree Anandkumar, Furong Huang
2024	J	`jnl`	Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization. CoRR Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang
2024	J	`jnl`	EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? CoRR Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang
2024	A*	`conf`	WAVES: Benchmarking the Robustness of Image Watermarks. ICML Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2023	—	`ch.`	Accurate Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method for High-speed Target Interception. Artificial Intelligence for Robotics and Autonomous Systems Applications Aakriti Agrawal, Aashay Anil Bhise, Rohitkumar Arasanipalai, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose
2023	A	`conf`	Learning When to Trust Which Teacher for Weakly Supervised ASR. INTERSPEECH Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath Chennupati, Andreas Stolcke
2023	J	`jnl`	Learning When to Trust Which Teacher for Weakly Supervised ASR. CoRR Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath Chennupati, Andreas Stolcke
2023	A*	`conf`	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. ICRA Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
2023	J	`jnl`	Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning. CoRR Aakriti Agrawal, Rohith Aralikatti, Yanchao Sun, Furong Huang
2022	A	`conf`	DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. IROS Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. CoRR Aakriti Agrawal, Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
2022	J	`jnl`	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. CoRR Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
2020	J	`jnl`	Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method. CoRR Aakriti Agrawal, Aashay Anil Bhise, Rohitkumar Arasanipalai, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose
2020	J	`jnl`	Control of a Nature-inspired Scorpion using Reinforcement Learning. CoRR Aakriti Agrawal, V. S. Rajashekhar, Rohitkumar Arasanipalai, Debasish Ghose
2020	J	`jnl`	Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning. CoRR Rohitkumar Arasanipalai, Aakriti Agrawal, Debasish Ghose