Copertina

Using Large Language Models for the Interpretation of Building Regulations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fuchs, Stefan, Witbrock, Michael, Dimyadi, Johannes, Amor, Robert
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization
di: Bao, Qiming, et al.
Pubblicazione: (2026)

Conflict-Aware Fusion: Mitigating Logic Inertia in Large Language Models via Structured Cognitive Priors
di: Bao, Qiming, et al.
Pubblicazione: (2025)

Large Language Models as Common-Sense Heuristics
di: Borro, Andrey, et al.
Pubblicazione: (2025)

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
di: Bao, Qiming, et al.
Pubblicazione: (2023)

Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems
di: Warczyński, Jędrzej, et al.
Pubblicazione: (2025)

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
di: Bao, Qiming, et al.
Pubblicazione: (2023)

Technical Report: Impact of Position Bias on Language Models in Token Classification
di: Amor, Mehdi Ben, et al.
Pubblicazione: (2023)

Building Guardrails for Large Language Models
di: Dong, Yi, et al.
Pubblicazione: (2024)

Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
di: Bokstaller, Jonas, et al.
Pubblicazione: (2025)

LLMD: A Large Language Model for Interpreting Longitudinal Medical Records
di: Porter, Robert, et al.
Pubblicazione: (2024)

Building a Large Japanese Web Corpus for Large Language Models
di: Okazaki, Naoaki, et al.
Pubblicazione: (2024)

Mechanistic Interpretability of Emotion Inference in Large Language Models
di: Tak, Ala N., et al.
Pubblicazione: (2025)

EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models
di: Mohammadi, Hadi, et al.
Pubblicazione: (2025)

Evaluating Compliance with Visualization Guidelines in Diagrams for Scientific Publications Using Large Vision Language Models
di: Rückert, Johannes, et al.
Pubblicazione: (2025)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models
di: Zhou, Shuang, et al.
Pubblicazione: (2024)

Comparing Human and Large Language Model Interpretation of Implicit Information
di: De Santis, Antonio, et al.
Pubblicazione: (2026)

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
di: Luo, Linhao, et al.
Pubblicazione: (2023)

What Is Missing: Interpretable Ratings for Large Language Model Outputs
di: Stranges, Nicholas, et al.
Pubblicazione: (2026)

Activation Scaling for Steering and Interpreting Language Models
di: Stoehr, Niklas, et al.
Pubblicazione: (2024)

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation
di: Chen, Qiyuan, et al.
Pubblicazione: (2025)

Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
di: Jang, Suhyung, et al.
Pubblicazione: (2026)

Survey on Reasoning Capabilities and Accessibility of Large Language Models Using Biology-related Questions
di: Ackerman, Michael
Pubblicazione: (2024)

Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
di: Ouyang, Leyi
Pubblicazione: (2025)

Regulating Large Language Models: A Roundtable Report
di: Nicholas, Gabriel, et al.
Pubblicazione: (2024)

Building Models of Neurological Language
di: Watkins, Henry
Pubblicazione: (2025)

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model
di: Wang, Yan, et al.
Pubblicazione: (2025)

Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models
di: Zhong, Chengzhi, et al.
Pubblicazione: (2025)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
di: Hong, Xingyun, et al.
Pubblicazione: (2024)

A Survey of Pun Generation: Datasets, Evaluations and Methodologies
di: Su, Yuchen, et al.
Pubblicazione: (2025)

Rethinking Interpretability in the Era of Large Language Models
di: Singh, Chandan, et al.
Pubblicazione: (2024)

Large Language Model in Financial Regulatory Interpretation
di: Cao, Zhiyu, et al.
Pubblicazione: (2024)

Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
di: Lan, Michael, et al.
Pubblicazione: (2023)

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
di: Pistilli, Giada, et al.
Pubblicazione: (2024)

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
di: Zhu, Jian-Qiao, et al.
Pubblicazione: (2025)

Building and Measuring Trust between Large Language Models
di: Buyl, Maarten, et al.
Pubblicazione: (2025)

Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
di: Thogesan, Thivya, et al.
Pubblicazione: (2025)

Interpretable Emergent Language Using Inter-Agent Transformers
di: Bhardwaj, Mannan
Pubblicazione: (2025)

DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues
di: Luo, Xiang, et al.
Pubblicazione: (2024)

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
di: Ye, Junjie, et al.
Pubblicazione: (2025)

Spilled Energy in Large Language Models
di: Minut, Adrian Robert, et al.
Pubblicazione: (2026)