Get started
Author

Ivaxi Sheth

Survey on AI Ethics: A Socio‐Technical Perspective
2025 · Dave Mbiazi, Meghana Bhange, et al. · Computational Intelligence · 12
PDF
FHIST: A Benchmark for Few-shot Classification of Histological Images
2022 · Shakeri, Fereshteh, Boudiaf, Malik, et al. · arXiv (Cornell University) · 11
PDF
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
2024 · Akash Gupta, Ivaxi Sheth, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 9
PDF
Auxiliary Losses for Learning Generalizable Concept-based Models
2023 · Ivaxi Sheth, Samira Ebrahimi Kahou · neural information processing systems · 7
PDF
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
2026 · Sai Suresh Macharla Vasu, Ivaxi Sheth, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 6
PDF
Source-free domain adaptation requires penalized diversity
2025 · Laya Rafiee Sevyeri, Ivaxi Sheth, et al. · Machine Learning · 4
PDF
CausalGraph2LLM: Evaluating LLMs for Causal Queries
2025 · Ivaxi Sheth, Bahare Fatemi, et al. · Findings of the Association for Computational Linguistics: NAACL · 3
PDF
Three-stream network for enriched Action Recognition
2021 · Sheth, Ivaxi · arXiv (Cornell University) · 2
PDF
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
2026 · Binkyte, Ruta, Sheth, Ivaxi, et al. · arXiv (Cornell University) · 1
PDF
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs -- Evaluation through Synthetic Data Generation
2024 · Afonja, Tejumade, Sheth, Ivaxi, et al. · arXiv (Cornell University) · 1
PDF
Transparent Anomaly Detection via Concept-based Explanations
2023 · Sevyeri, Laya Rafiee, Sheth, Ivaxi, et al. · arXiv (Cornell University) · 1
PDF
RelationalUNet for Image Segmentation
2023 · Ivaxi Sheth, Pedro H. M. Braga, et al. · Lecture notes in computer science · 1
Learning Latent Structural Causal Models
2022 · Subramanian, Jithendaraa, Annadani, Yashas, et al. · arXiv (Cornell University) · 1
PDF
Style over Substance? Linguistic Bias in LLM-based Peer Review Copy title
2026 · Vasu, Sai Suresh Macharla, Joshi, Sumedh Santosh, et al. · arXiv (Cornell University)
PDF
FIGS: Evaluating Multi-Turn Sycophancy Without Penalizing Empathy
2026 · Pulipaka, Sidharth, Binkyte, Ruta, et al. · arXiv (Cornell University)
PDF
Share-Borne AI Virus: Memory-Hopping Attacks Across LLM Agents
2026 · Pulipaka, Sidharth, Sharma, Ansh, et al. · arXiv (Cornell University)
PDF
Fabrication After Tool Failure: Tool-Augmented Agents Assert Values Their Tools Did Not Return
2026 · Sethi, Arham, Kenzhebayev, Arsen, et al. · arXiv (Cornell University)
PDF
When Tools Get in the Way: The Effect of Unnecessary Tool Availability on LLM Answering
2026 · Paturi, Saanvi, Kenzhebayev, Arsen, et al. · arXiv (Cornell University)
PDF
Mitigating Over-Personalization in LLMs via Structured Memory
2026 · Hannoon, Hakeem, Zhao, Andrew, et al. · arXiv (Cornell University)
PDF
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
2026 · Macharla Vasu, Sai Suresh, Sheth, Ivaxi, et al. · CISPA Helmholtz Center
Position: Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
2026 · Binkyte-Sadauskiene, Ruta, Sheth, Ivaxi, et al. · CISPA Helmholtz Center
Position: Safety Must Precede the Deployment of Open-Ended AI Agents
2026 · Sheth, Ivaxi, Wehner, Jan, et al. · CISPA Helmholtz Center
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
2026 · Association for Computational Linguistics 2026, Binkyte, Ruta, et al. · Underline Science Inc.
Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
2026 · Pulipaka, Sidharth, Hlebik, Stanislau, et al. · CISPA Helmholtz Center
Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
2026 · Pulipaka, Sidharth, Hlebik, Stanislau, et al. · arXiv (Cornell University)
PDF
Works count: 52
Citation count: 59
H-index: 5
I10-index: 2
Year
Topic
Type