conftrace_

structured output

48 papers

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Co-occurring keywords

large language model (13587) structured output learning (16) prompt engineering (1135) information extraction (1090) semantic segmentation (3186) convolutional neural network (4226) small language model (204) neural network (6616) maximum margin (31) structured output prediction (20)

Papers

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