4 papers
Segment-Level Agentic Topic Modeling for Improved Data Exploration and Resource Efficiency
Myeongjun Erik Jang, Antonios Georgiadis, Sae Young Moon +1
Topic modeling is an effective technique for discovering hidden themes within documents and is widely used in text mining and data analysis across a variety of industry sectors. Re…
Fence: Specialized SLM Guardrails for LLM Applications
Kumud Lakara, Ruibo Shi, Fran Silavong
Real-world applications that use closed-source large language models (LLMs) need advanced safety measures that go beyond the basic content filters. Content moderation filters such…
Industry-Aligned Granular Topic Modeling
Sae Young Moon, Myeongjun Erik Jang, Haoyan Luo +3
Topic modeling has extensive applications in text mining and data analysis across various industrial sectors. Although the concept of granularity holds significant value for busine…
TrueBrief: Faithful Summarization through Small Language Models
Kumud Lakara, Ruibo Shi, Fran Silavong
Large language models (LLMs) have exhibited remarkable proficiency in generating high-quality text; however, their propensity for producing hallucinations poses a significant chall…