“SALP-CG reliably helps classify categories and grading sensitivity in online conversational health data across LLMs, offering a practical method for health data governance.”

“Structured Output は Pydantic のスキーマ をそのまま指定でき，さらに description に書いた説明文を LLM が参照して生成を制御できるため，生成精度を高めるには description を充実させることが極めて重要です．”

“The system is designed to identify datasheet-driven schematic issues that traditional ERC tools can't detect.”

“The Dermatology Assessment Schema (DAS) is a novel expert-developed framework that systematically captures clinically meaningful dermatological features in a structured and standardized form.”

“treating structured schemas as non-negotiable governance contracts rather than optional output formats”

“Structured outputs can be syntactically valid while semantically incorrect, schema validation is structural (not geometric correctness), person identifiers are frame-local in the current prompting contract, and interactive single-frame analysis returns free-form text rather than schema-enforced JSON.”

“The paper's core finding is that models fine-tuned with their prompt augmentation strategy maintain stable performance across diverse prompt patterns during inference and yield higher weighted F1 scores than those fine-tuned on a single prompt template.”

“MMCTOP achieves consistent improvements in precision, F1, and AUC over unimodal and multimodal baselines on benchmark datasets, and ablations show that schema-guided textualization and selective expert routing contribute materially to performance and stability.”

“The open-weights reasoning model DeepSeek R1 achieves state-of-the-art performance (50.6%), surpassing proprietary giants like Claude 3.7 Sonnet (47.7%) and GPT-4o (33.7%), it still exhibits a significant accuracy drop when moving from general benchmarks (BIRD) to CricBench.”

“CATCH integrates three core components: (1) context-aware topic representation, (2) preference-guided topic clustering, and (3) a hierarchical theme generation mechanism.”

“Real value hides in half sentences, complaints, follow up comments, and weird phrasing. That is where intent, confusion, and unmet needs actually live.”

“The study investigates in-context learning.”

“The article's source is ArXiv, indicating a research paper.”

“SCIR is a self-correcting iterative refinement framework for enhanced information extraction based on schema.”

“”

“”

“”

“The script uses Google's Dotprompt format (frontmatter + Handlebars templates) and allows for structured output schemas defined in the frontmatter using a simple `field: type, description` syntax. It supports prompt chaining by piping JSON output from one prompt as template variables into the next.”

“The research is available on ArXiv.”

“”

“The article likely highlights the benefits of using LLMs for data mocking, such as improved realism and reduced manual effort.”

“The author is seeking feedback on the clunkiness of the tool calling implementation, specifically mentioning the challenges of mapping plain functions to JSON schemas without the benefit of reflection.”

“Trellis transforms phone calls, PDFs, and chats into structured SQL format based on any schema you define in natural language.”

“The core value proposition is the automation of data mapping, promising to reduce the time required for data integration from days/weeks to seconds.”

“We explore the importance of mimicking the brain when looking to achieve artificial general intelligence, the nuance of “language understanding” and how all the tasks that fall underneath it are all interconnected, with or without language.”