1 citations · 2 across the 4 of their papers we have counts for
4 papers
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
Hyunmin Hwang, Jaemin Kim, Choonghan Kim +2
Multi-agent reasoning has shown promise for improving the problem-solving ability of large language models by allowing multiple agents to explore diverse reasoning paths. However,…
Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information
Choonghan Kim, Seonhee Cho, Joo Heung Yoon
Background: Large language models (LLMs) are gaining use in clinical settings, but their performance can suffer with incomplete radiology reports. We tested whether multimodal LLMs…
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model
Seonhee Cho, Choonghan Kim, Jiho Lee +3
Recent advancements in Large Multimodal Models (LMMs) have attracted interest in their generalization capability with only a few samples in the prompt. This progress is particularl…
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant
Yann Hicke, Tonghua Tian, Karan Jha +1
Automated Essay scoring has been explored as a research and industry problem for over 50 years. It has drawn a lot of attention from the NLP community because of its clear educatio…