Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes | Paper Citation Record

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This paper cites AN IMPACT ANALYSIS OF CONSTRUCTION SECTOR ON ECONOMIC GROWTH AND HOUSELOLD INCOME IN SOUTH AFRICA.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes AN IMPACT ANALYSIS OF CONSTRUCTION SECTOR ON ECONOMIC GROWTH AND HOUSELOLD INCOME IN SOUTH AFRICA

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This paper cites Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution,

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This paper cites Loose coupling of GIS and BIM data models for automated compliance checking against zoning codes,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Loose coupling of GIS and BIM data models for automated compliance checking against zoning codes,

Reference 3

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This paper cites Invariant Signature, Logic Reasoning, and Semantic Natural Language Processing (NLP)-Based Automated Building Code Compliance Checking (I- SNACC) Framework,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Invariant Signature, Logic Reasoning, and Semantic Natural Language Processing (NLP)-Based Automated Building Code Compliance Checking (I- SNACC) Framework,

Reference 4

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Intelligent Construction Case Study Illustration System Using Natural Language Processing and Image Searching,

Reference 5

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This paper cites Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects,

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This paper cites Datasets for Large Language Models: A Comprehensive Survey.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Datasets for Large Language Models: A Comprehensive Survey

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This paper cites Potential of Large Language Models in Health Care: Delphi Study,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Potential of Large Language Models in Health Care: Delphi Study,

Reference 8

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Fully Autonomous Programming with Large Language Models,

Reference 9

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This paper cites Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models,

Reference 10

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This paper cites A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics,

Reference 11

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This paper cites A Survey on Evaluation of Large Language Models,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes A Survey on Evaluation of Large Language Models,

Reference 12

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes GPT-4 Technical Report

Reference 13

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes PaLM: Scaling Language Modeling with Pathways

Reference 15

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes LLaMA: Open and Efficient Foundation Language Models

Reference 16

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

Reference 17

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Applications of Large Language Models,

Reference 18

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This paper cites Using Vision Language Models for Safety Hazard Identification in Construction.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Using Vision Language Models for Safety Hazard Identification in Construction

Reference 19

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This paper cites Intelligent Checking Method for Construction Schemes via Fusion of Knowledge Graph and Large Language Models,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Intelligent Checking Method for Construction Schemes via Fusion of Knowledge Graph and Large Language Models,

Reference 20

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This paper cites Enhancing Visual-Llm Through Prompt Engineering and a Two-Stage Retrieval-Augmented Generation Algorithm for Construction Site Safety Compliance Checking,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Enhancing Visual-Llm Through Prompt Engineering and a Two-Stage Retrieval-Augmented Generation Algorithm for Construction Site Safety Compliance Checking,

Reference 21

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes ErgoChat – a Visual Query System for the Ergonomic Risk Assessment of Construction Workers

Reference 22

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Construction contract risk identification based on knowledge-augmented language models,

Reference 23

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Meet2Mitigate: An LLM- powered framework for real-time issue identification and mitigation from construction meeting discourse,

Reference 24

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Automated Building Information Modeling Compliance Check through a Large Language Model Combined with Deep Learning and Ontology,

Reference 25

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes In Defense of RAG in the Era of Long-Context Language Models

Reference 26

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

Reference 27

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Hallucination is Inevitable: An Innate Limitation of Large Language Models

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Retrieval Augmentation Reduces Hallucination in Conversation

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Merging Generated and Retrieved Knowledge for Open-Domain QA

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 31

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes A fine-tuning enhanced RAG system with quantized influence measure as AI judge,

Reference 32

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Parameter-efficient fine-tuning of large-scale pre-trained language models,

Reference 33

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Parameter Efficient Fine-Tuning on Selective Parameters for Transformer-Based Pre-Trained Models,

Reference 35

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Avidan, G

Reference 36

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes LoRA: Low-Rank Adaptation of Large Language Models

Reference 37

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 38

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes National Building Code of Canada 2020

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Retrieval-Augmented Generation for AI-Generated Content: A Survey

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes The Probabilistic Relevance Framework: BM25 and Beyond,

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Document retrieval using term term frequency inverse sentence frequency weighting scheme,

Reference 43

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Dense Passage Retrieval for Open-Domain Question Answering

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Indonesian- English Textual Similarity Detection Using Universal Sentence Encoder (USE) and Facebook AI Similarity Search (FAISS),

Reference 46

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,

Reference 47

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Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Enhanced support for citations on GitHub,

Reference 48

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This paper cites Attention is All you Need.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Attention is All you Need

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This paper cites A Comprehensive Study on Quantization Techniques for Large Language Models,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes A Comprehensive Study on Quantization Techniques for Large Language Models,

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This paper cites Meta Llama 2,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Meta Llama 2,

Reference 51

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This paper cites Introducing Meta Llama 3: The most capable openly available LLM to date,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Introducing Meta Llama 3: The most capable openly available LLM to date,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.803728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c3e5483-a2f2-49f0-a8e7-128fffb536bf · outbound

This paper cites Qwen LLMs.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Qwen LLMs

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.789445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9fd1726e-3306-4156-ba94-d096c35956d7 · outbound

This paper cites mistralai/Mistral-Small-24B-Instruct-2501 · Hugging Face.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes mistralai/Mistral-Small-24B-Instruct-2501 · Hugging Face

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.776046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5710f2a3-52b7-4936-8317-f28f6911de56 · outbound

This paper cites Introducing Phi-3: Redefining what’s possible with SLMs,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Introducing Phi-3: Redefining what’s possible with SLMs,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.761808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39a913e9-78af-4b84-8fd1-d566ade96619 · outbound

This paper cites Thresholding Classifiers to Maximize F1 Score.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Thresholding Classifiers to Maximize F1 Score

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T23:41:18.417379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a6b4143-5ade-41c3-af86-493cfe1151bb · outbound

This paper cites BLEU: a method for automatic evaluation of machine translation,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes BLEU: a method for automatic evaluation of machine translation,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T23:41:18.422102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b03cdc-76f4-419e-aead-43f9a7ea3e52 · outbound

This paper cites ROUGE: A Package for Automatic Evaluation of Summaries.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes ROUGE: A Package for Automatic Evaluation of Summaries

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.745929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d02e0d5a-17e9-4609-968e-61ec3727224d · outbound

This paper cites Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T23:41:18.431415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbcdacde-d7ae-4acf-9cd7-c4f447afcccf · outbound

This paper cites METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.731212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eeca3d78-1016-41f3-94c4-9d2d3efd26a0 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes BERTScore: Evaluating Text Generation with BERT

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T23:41:18.440235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da41a00-03ed-430e-bea3-6779bfe0de2e · outbound

This paper cites OpenGVLab/InternVL2_5-8B · Hugging Face.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes OpenGVLab/InternVL2_5-8B · Hugging Face

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.716789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afa7dec0-5d9a-4093-88e9-18d5e5fae00c · outbound

This paper cites mistralai/Mistral-Small-24B-Instruct-2501 · Hugging Face.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes mistralai/Mistral-Small-24B-Instruct-2501 · Hugging Face

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.702372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df4eb295-0799-425d-ab7c-1d57e9429303 · outbound

This paper cites Introducing Meta Llama 3: The most capable openly available LLM to date,.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Introducing Meta Llama 3: The most capable openly available LLM to date,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:41:19.687637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

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