activity
20232026
most citedDecoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

An Explicit Feedback Contract for Iterative ML-Agent Harnesses

Kehui Yao, Chuanbo Hu, Jiao Chen +8

Iterative ML agents develop models by editing code, running experiments, reading a validation score, and choosing what to try next. In current harnesses this loop is served by an e…

cs.IR2025

MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems

Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh +4

Meta titles and descriptions strongly shape engagement in search and recommendation platforms, yet optimizing them remains challenging. Search engine ranking models are black box e…

cs.CV2025

Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding

Vahid Mirjalili, Ramin Giahi, Sriram Kollipara +9

Spatial understanding is a critical capability for vision foundation models. While recent advances in large vision models or vision-language models (VLMs) have expanded recognition…

cs.IR2024★ 1 cited

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference

Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi +2

Personalized outfit recommendation remains a complex challenge, demanding both fashion compatibility understanding and trend awareness. This paper presents a novel framework that h…

cs.IR2024

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs

Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai +6

The outfit generation problem involves recommending a complete outfit to a user based on their interests. Existing approaches focus on recommending items based on anchor items or s…

cs.LG2023

Dynamic Decision Making in Engineering System Design: A Deep Q-Learning Approach

Ramin Giahi, Cameron A. MacKenzie, Reyhaneh Bijari

Engineering system design, viewed as a decision-making process, faces challenges due to complexity and uncertainty. In this paper, we present a framework proposing the use of the D…

cs.IR2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation

Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar +5

Similar item recommendation is a critical task in the e-Commerce industry, which helps customers explore similar and relevant alternatives based on their interested products. Despi…