Amirabbas Afzali

According to our database, Amirabbas Afzali authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger.

Amirabbas Afzali, Myeongho Jeon, Maria Brbic

CoRR, March, 2026

ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and Segmentation.

Hesam Hosseini, Ghazal Hosseini Mighan, Amirabbas Afzali, Sajjad Amini, Amir Houmansadr

Trans. Mach. Learn. Res., 2026

Controlling Gender Bias in Retrieval via a Backpack Architecture.

Amirabbas Afzali, Amirreza Velae, Iman Ahmadi, Mohammad Aliannejadi

Proceedings of the Advances in Information Retrieval, 2026

2025

One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise.

Amirabbas Afzali, Amirhossein Afsharrad, Seyed Shahabeddin Mousavi, Sanjay Lall

CoRR, March, 2025

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders.

Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad, Seyed Shahabeddin Mousavi, Sanjay Lall, Sajjad Amini, Seyed-Mohsen Moosavi-Dezfooli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Aligning Visual Contrastive learning models via Preference Optimization.

Amirabbas Afzali, Borna Khodabandeh, Ali Rasekh, Mahyar JafariNodeh, Sepehr Kazemi Ranjbar, Simon Gottschalk

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework.

Amirabbas Afzali, Hesam Hosseini, Mohmmadamin Mirzai, Arash Amini

CoRR, 2024

ULTra: Unveiling Latent Token Interpretability in Transformer Based Understanding.

Hesam Hosseini, Ghazal Hosseini Mighan, Amirabbas Afzali, Sajjad Amini, Amir Houmansadr

CoRR, 2024

Aligning Visual Contrastive learning models via Preference Optimization.

Amirabbas Afzali, Borna Khodabandeh, Ali Rasekh, Mahyar JafariNodeh, Sepehr kazemi, Simon Gottschalk

CoRR, 2024