Papers Structured Output Generation
“Structured Output Generation” 태그가 달린 논문 7편 · 필터 해제
MPL: Multiple Programming Languages with Large Language Models for Information Extraction
Recent research in information extraction (IE) focuses on utilizing code-style inputs to enhance structured output generation. The intuition behind this is that the programming languages (PLs) inherently exhibit greater …
Structured Output GenerationHarnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
Financial event entity extraction is a crucial task for analyzing market dynamics and building financial knowledge graphs, yet it presents significant challenges due to the specialized language and complex structures in …
Knowledge Graphsparameter-efficient fine-tuningStructured Output GenerationIMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models
With the rapid development of diffusion models, text-to-image(T2I) models have made significant progress, showcasing impressive abilities in prompt following and image generation. Recently launched models such as FLUX.1 …
Depth EstimationImage GenerationMotion GenerationSemantic Segmentation+1Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analytics
Large Language Models (LLMs) have become increasingly important in natural language processing, enabling advanced data analytics through natural language queries. However, these models often generate "hallucinations"-ina…
Decision MakingNatural Language QueriesStructured Output GenerationMeaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
Extending Large Language Models (LLMs) to advanced applications requires reliable structured output generation. Existing methods which often rely on rigid JSON schemas, can lead to unreliable outputs, diminished reasonin…
Large Language ModelMultimodal Large Language ModelStructured Output GenerationStructured PredictionInternLM-Law: An Open Source Chinese Legal Large Language Model
While large language models (LLMs) have showcased impressive capabilities, they struggle with addressing legal queries due to the intricate complexities and specialized expertise required in the legal field. In this pape…
DiversityLanguage ModelingLanguage ModellingLarge Language Model+1LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Large language models (LLMs) have demonstrated significant potential in various tasks, including those requiring human-level intelligence, such as vulnerability detection. However, recent efforts to use LLMs for vulnerab…
Information RetrievalRetrievalStructured Output GenerationVulnerability Detection