Ivaxi Sheth - RankMe

32 papers A* 2Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition. CoRR Ivaxi Sheth, Zeno Jonke, Amin Mantrach, Saab Mansour
2026	—	`conf`	Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs. EACL (Volume 2: Short Papers) Arya Labroo, Ivaxi Sheth, Vyas Raina, Amaani Ahmed, Mario Fritz
2026	J	`jnl`	Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs. CoRR Arya Labroo, Ivaxi Sheth, Vyas Raina, Amaani Ahmed, Mario Fritz
2026	J	`jnl`	IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery. CoRR Ivaxi Sheth, Zhijing Jin, Bryan Wilder, Dominik Janzing, Mario Fritz
2026	J	`jnl`	PersistBench: When Should Long-Term Memories Be Forgotten by LLMs? CoRR Sidharth Pulipaka, Oliver Chen, Manas Sharma, Taaha S. Bajwa, Vyas Raina, Ivaxi Sheth
2025	—	`conf`	CausalGraph2LLM: Evaluating LLMs for Causal Queries. NAACL (Findings) Ivaxi Sheth, Bahare Fatemi, Mario Fritz
2025	J	`jnl`	Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models. CoRR Ruta Binkyte, Ivaxi Sheth, Zhijing Jin, Mohammad Havaei, Bernhard Schölkopf, Mario Fritz
2025	—	`conf`	Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables. EMNLP (Findings) Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz
2025	J	`jnl`	Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews. CoRR Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz
2025	J	`jnl`	ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols. CoRR Arnav Sheth, Ivaxi Sheth, Mario Fritz
2025	J	`jnl`	Safety is Essential for Responsible Open-Ended Systems. CoRR Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz
2025	J	`jnl`	Source-free domain adaptation requires penalized diversity. Mach. Learn. Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
2025	J	`jnl`	Survey on AI Ethics: A Socio-Technical Perspective. Comput. Intell. Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack, Samira Ebrahimi Kahou
2024	J	`jnl`	CausalGraph2LLM: Evaluating LLMs for Causal Queries. CoRR Ivaxi Sheth, Bahare Fatemi, Mario Fritz
2024	J	`jnl`	Hypothesizing Missing Causal Variables with LLMs. CoRR Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz
2024	A*	`conf`	LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. EMNLP Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz
2024	J	`jnl`	LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. CoRR Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz
2024	J	`jnl`	LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. CoRR Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz
2024	J	`jnl`	MedG-KRP: Medical Graph Knowledge Representation Probing. CoRR Gabriel R. Rosenbaum, Lavender Yao Jiang, Ivaxi Sheth, Jaden Stryker, Anton Alyakin, Daniel Alexander Alber, Nicolas K. Goff, Young Joon Fred Kwon, John Markert, Mustafa Nasir-Moin, Jan Moritz Niehues, Karl L. Sangwon, Eunice Yang, Eric Karl Oermann
2023	A*	`conf`	Auxiliary Losses for Learning Generalizable Concept-based Models. NeurIPS Ivaxi Sheth, Samira Ebrahimi Kahou
2023	J	`jnl`	Auxiliary Losses for Learning Generalizable Concept-based Models. CoRR Ivaxi Sheth, Samira Ebrahimi Kahou
2023	—	`conf`	RelationalUNet for Image Segmentation. MLMI@MICCAI (1) Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
2023	J	`jnl`	Source-free Domain Adaptation Requires Penalized Diversity. CoRR Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
2023	J	`jnl`	Survey on AI Ethics: A Socio-technical Perspective. CoRR Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack
2023	J	`jnl`	Transparent Anomaly Detection via Concept-based Explanations. CoRR Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Shirin Abbasinejad Enger
2023	J	`jnl`	WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference. CoRR Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang
2022	J	`jnl`	FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
2022	J	`jnl`	Latent Variable Models for Bayesian Causal Discovery. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	J	`jnl`	Learning Latent Structural Causal Models. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	J	`jnl`	Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou
2022	J	`jnl`	WiCV 2022: The Tenth Women In Computer Vision Workshop. CoRR Doris Antensteiner, Silvia Bucci, Arushi Goel, Marah Halawa, Niveditha Kalavakonda, Tejaswi Kasarla, Miaomiao Liu, Nermin Samet, Ivaxi Sheth
2021	J	`jnl`	Three-stream network for enriched Action Recognition. CoRR Ivaxi Sheth