mlsanityData to 7 Oct 2026

ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation

arXiv 2307.15290 ↗First posted 28 Jul 2023cs.CLcited by 25

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Abstract (arXiv)

This paper presents the development and evaluation of ChatHome, a domain-specific language model (DSLM) designed for the intricate field of home renovation. Considering the proven competencies of large language models (LLMs) like GPT-4 and the escalating fascination with home renovation, this study endeavors to reconcile these aspects by generating a dedicated model that can yield high-fidelity, precise outputs relevant to the home renovation arena. ChatHome's novelty rests on its methodology, fusing domain-adaptive pretraining and instruction-tuning over an extensive dataset. This dataset includes professional articles, standard documents, and web content pertinent to home renovation. This dual-pronged strategy is designed to ensure that our model can assimilate comprehensive domain knowledge and effectively address user inquiries. Via thorough experimentation on diverse datasets, both universal and domain-specific, including the freshly introduced "EvalHome" domain dataset, we substantiate that ChatHome not only amplifies domain-specific functionalities but also preserves its versatility.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 28 Jul 2023.

Builds on

18 of 25 references.

References · 18

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2023A Survey of Large Language Modelscited by 2,537
  4. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
  5. 2020Don't Stop Pretraining: Adapt Language Models to Domains and Taskscited by 1,548
  6. 2023BloombergGPT: A Large Language Model for Financecited by 923
  7. 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
  8. 2022Galactica: A Large Language Model for Sciencecited by 736
  9. 2023In-Context Retrieval-Augmented Language Modelscited by 694
  10. 2023C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Modelscited by 694
  11. 2023Instruction Tuning with GPT-4cited by 676
  12. 2023CMMLU: Measuring massive multitask language understanding in Chinesecited by 436
6 more
  1. 2023FinGPT: Open-Source Financial Large Language Modelscited by 244
  2. 2021ExT5: Towards Extreme Multi-Task Scaling for Transfer Learningcited by 161
  3. 2023HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledgecited by 161
  4. 2023Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Surveycited by 134
  5. 2023Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecturecited by 119
  6. 2023ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluationcited by 85

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Citing papers per year: 2023: 3; 2024: 16; 2025: 5; 2026: 1.

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  1. 2023Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificitycited by 204
  2. 2023DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultationcited by 89
  3. 2024MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learningcited by 63
  4. 2024EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysiscited by 62
  5. 2024PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applicationscited by 16
  6. 2024DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modelingcited by 15
  7. 2024CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfercited by 10
  8. 2023EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Datacited by 9
  9. 2024OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safetycited by 9
  10. 2024CTourLLM: Enhancing LLMs with Chinese Tourism Knowledgecited by 7
  11. 2025RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Servicescited by 6
  12. 2024Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapsecited by 4
13 more
  1. 2024Redefining Information Retrieval of Structured Database via Large Language Modelscited by 4
  2. 2024Investigating Public Fine-Tuning Datasets: A Complex Review of Current Practices from a Construction Perspectivecited by 3
  3. 2024Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Datacited by 3
  4. 2025PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowchartscited by 3
  5. 2025DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Managementcited by 3
  6. 2025Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple LLM Judgescited by 3
  7. 2024Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarkingcited by 2
  8. 2024Token-Efficient Leverage Learning in Large Language Modelscited by 2
  9. 2024SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Modelscited by 2
  10. 2024LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAGcited by 1
  11. 2024OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruningcited by 0
  12. 2025Finetune Once: Decoupling General & Domain Learning with Dynamic Boosted Annealingcited by 0
  13. 2026CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewardscited by 0