1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients
Hongyeon Yu, Young-Bum Kim, Yoon Kim
LLM workflows, which coordinate structured calls to individual LLMs/agents to achieve a particular goal, offer a promising path towards building powerful AI systems that can tackle…
cs.IR2026
Retrieval Collapses When AI Pollutes the Web
Hongyeon Yu, Dongchan Kim, Young-Bum Kim
The rapid proliferation of AI-generated content on the Web presents a structural risk to information retrieval, as search engines and Retrieval-Augmented Generation (RAG) systems i…
cs.CL2024★ 1 cited
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
Dongyoung Go, Taesun Whang, Chanhee Lee +6
The integration of Retrieval-Augmented Generation (RAG) with Multimodal Large Language Models (MLLMs) has revolutionized information retrieval and expanded the practical applicatio…