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20242026
most citedSpherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.CO2026

Graph Sensitivity of Cartesian Products with Matched Bridges

Zhen-Mu Hong, Zi-Yi Wu, Zheng-Jiang Xia

For a graph , let denote the minimum of the maximum degree of an induced subgraph with vertices, where is the independence number, and write $f(G)=f_1(G…

cs.SE2026★ 1 cited

The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

Redacted by arXiv

This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…

cs.AI2025

Scaling Agent Learning via Experience Synthesis

Zhaorun Chen, Zhuokai Zhao, Kai Zhang +15

While reinforcement learning (RL) can empower autonomous agents by enabling self-improvement through interaction, its practical adoption remains challenging due to costly rollouts,…

cs.AI2025

Agent Learning via Early Experience

Kai Zhang, Xiangchao Chen, Bo Liu +27

A long-term goal of language agents is to learn and improve through their own experience, ultimately outperforming humans in complex, real-world tasks. However, training agents fro…

cs.CV2024★ 1 cited

Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval

Young Kyun Jang, Dat Huynh, Ashish Shah +2

Composed Image Retrieval (CIR) is a complex task that retrieves images using a query, which is configured with an image and a caption that describes desired modifications to that i…

cs.CV2024

Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval

Young Kyun Jang, Donghyun Kim, Zihang Meng +2

Composed Image Retrieval (CIR) is a task that retrieves images similar to a query, based on a provided textual modification. Current techniques rely on supervised learning for CIR…