Amir Tavanaei

According to our database, Amir Tavanaei authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Adjoint sharding for very long context training of state space models.

Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane

CoRR, January, 2025

Activation sharding for scalable training of large models.

Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane

Trans. Mach. Learn. Res., 2025

2024

Structured Object Language Modeling (SoLM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising.

Amir Tavanaei, Kee Kiat Koo, Hayreddin Çeker, Shaobai Jiang, Qi Li, Julien Han, Karim Bouyarmane

CoRR, 2024

Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models.

Chengwei Wei, Kee Kiat Koo, Amir Tavanaei, Karim Bouyarmane

CoRR, 2024

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All.

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

CoRR, 2024

Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising.

Amir Tavanaei, Kee Kiat Koo, Hayreddin Çeker, Shaobai Jiang, Qi Li, Julien Han, Karim Bouyarmane

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling.

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

CoRR, 2023