structured output

Circuit-Think: A Multimodal Reasoning Framework for Automated Circuit-to-Netlist Translation with Trajectory-Guided Reinforcement Learning AAAI 2026 Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026 BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs CVPR 2025 Converting Annotated Clinical Cases into Structured Case Report Forms ACL 2025 DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction EMNLP 2025 DRS: Deep Question Reformulation With Structured Output ACL 2025 Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notes ACL 2025 Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge ACL 2025 Learning to Generate Structured Output with Schema Reinforcement Learning ACL 2025 SLENDER: Structured Outputs for SLM-based NER in Low-Resource Englishes ACL 2025 SLOT: Structuring the Output of Large Language Models EMNLP 2025 Structured Outputs in Prompt Engineering: Enhancing LLM Adaptability on Counterintuitive Instructions AACL 2025 Event-Keyed Summarization EMNLP 2024 Reducing hallucination in structured outputs via Retrieval-Augmented Generation NAACL 2024 Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024 SGLang: Efficient Execution of Structured Language Model Programs NeurIPS 2024 SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models ICLR 2024 Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning EMNLP 2023 Center Smoothing: Certified Robustness for Networks with Structured Outputs NeurIPS 2021 Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization ICML 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021 Learning Maximum Margin Markov Networks from examples with missing labels ACML 2021 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation ICLR 2021 Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021 An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing ACL 2019