Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering
Fuente:
arXiv
Guardado en:
| Autores principales: | Hu, Yinghao, Gan, Leilei, Xiao, Wenyi, Kuang, Kun, Wu, Fei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond
por: Hu, Yinghao, et al.
Publicado: (2025)
por: Hu, Yinghao, et al.
Publicado: (2025)
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
por: Xiao, Wenyi, et al.
Publicado: (2025)
por: Xiao, Wenyi, et al.
Publicado: (2025)
PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
por: Huang, Yuting, et al.
Publicado: (2026)
por: Huang, Yuting, et al.
Publicado: (2026)
VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
por: Xiao, Wenyi, et al.
Publicado: (2026)
por: Xiao, Wenyi, et al.
Publicado: (2026)
Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering
por: Ni, Shiwen, et al.
Publicado: (2024)
por: Ni, Shiwen, et al.
Publicado: (2024)
Leveraging Print Debugging to Improve Code Generation in Large Language Models
por: Hu, Xueyu, et al.
Publicado: (2024)
por: Hu, Xueyu, et al.
Publicado: (2024)
OLAPH: Improving Factuality in Biomedical Long-form Question Answering
por: Jeong, Minbyul, et al.
Publicado: (2024)
por: Jeong, Minbyul, et al.
Publicado: (2024)
Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models
por: Kim, Soyeon, et al.
Publicado: (2025)
por: Kim, Soyeon, et al.
Publicado: (2025)
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
por: Xiao, Wenyi, et al.
Publicado: (2024)
por: Xiao, Wenyi, et al.
Publicado: (2024)
WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report
por: Wu, Yiquan, et al.
Publicado: (2026)
por: Wu, Yiquan, et al.
Publicado: (2026)
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
por: Luo, Haoran, et al.
Publicado: (2023)
por: Luo, Haoran, et al.
Publicado: (2023)
Fine-tuning Smaller Language Models for Question Answering over Financial Documents
por: Phogat, Karmvir Singh, et al.
Publicado: (2024)
por: Phogat, Karmvir Singh, et al.
Publicado: (2024)
The Factuality of Large Language Models in the Legal Domain
por: Hamdani, Rajaa El, et al.
Publicado: (2024)
por: Hamdani, Rajaa El, et al.
Publicado: (2024)
On Early Detection of Hallucinations in Factual Question Answering
por: Snyder, Ben, et al.
Publicado: (2023)
por: Snyder, Ben, et al.
Publicado: (2023)
Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering
por: Yao, Rujing, et al.
Publicado: (2025)
por: Yao, Rujing, et al.
Publicado: (2025)
MizanQA: Benchmarking Large Language Models on Moroccan Legal Question Answering
por: Bahaj, Adil, et al.
Publicado: (2025)
por: Bahaj, Adil, et al.
Publicado: (2025)
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models
por: Wang, Yanling, et al.
Publicado: (2024)
por: Wang, Yanling, et al.
Publicado: (2024)
Fine-tuning Large Language Models with Sequential Instructions
por: Hu, Hanxu, et al.
Publicado: (2024)
por: Hu, Hanxu, et al.
Publicado: (2024)
RephQA: Evaluating Readability of Large Language Models in Public Health Question Answering
por: Qiu, Weikang, et al.
Publicado: (2025)
por: Qiu, Weikang, et al.
Publicado: (2025)
Semi-supervised Fine-tuning for Large Language Models
por: Luo, Junyu, et al.
Publicado: (2024)
por: Luo, Junyu, et al.
Publicado: (2024)
QA-prompting: Improving Summarization with Large Language Models using Question-Answering
por: Sinha, Neelabh
Publicado: (2025)
por: Sinha, Neelabh
Publicado: (2025)
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents
por: Wu, Shiwei, et al.
Publicado: (2024)
por: Wu, Shiwei, et al.
Publicado: (2024)
Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain
por: Roy, Subal Chandra, et al.
Publicado: (2024)
por: Roy, Subal Chandra, et al.
Publicado: (2024)
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes
por: Aqib, Mohammad, et al.
Publicado: (2025)
por: Aqib, Mohammad, et al.
Publicado: (2025)
Measuring the Groundedness of Legal Question-Answering Systems
por: Trautmann, Dietrich, et al.
Publicado: (2024)
por: Trautmann, Dietrich, et al.
Publicado: (2024)
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
por: Rahman, Md Abdur, et al.
Publicado: (2024)
por: Rahman, Md Abdur, et al.
Publicado: (2024)
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network
por: Xiong, Guanming
Publicado: (2020)
por: Xiong, Guanming
Publicado: (2020)
BioPulse-QA: A Dynamic Biomedical Question-Answering Benchmark for Evaluating Factuality, Robustness, and Bias in Large Language Models
por: Bhattarai, Kriti, et al.
Publicado: (2026)
por: Bhattarai, Kriti, et al.
Publicado: (2026)
Causal Agent based on Large Language Model
por: Han, Kairong, et al.
Publicado: (2024)
por: Han, Kairong, et al.
Publicado: (2024)
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints
por: Guo, Kunpeng, et al.
Publicado: (2024)
por: Guo, Kunpeng, et al.
Publicado: (2024)
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
por: Zhou, Siying, et al.
Publicado: (2025)
por: Zhou, Siying, et al.
Publicado: (2025)
When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering
por: Kang, Eojin, et al.
Publicado: (2025)
por: Kang, Eojin, et al.
Publicado: (2025)
Token Constraint Decoding Improves Robustness on Question Answering for Large Language Models
por: Yao, Jui-Ming, et al.
Publicado: (2025)
por: Yao, Jui-Ming, et al.
Publicado: (2025)
Uncertainty Estimation of Large Language Models in Medical Question Answering
por: Wu, Jiaxin, et al.
Publicado: (2024)
por: Wu, Jiaxin, et al.
Publicado: (2024)
Can Group Relative Policy Optimization Improve Thai Legal Reasoning and Question Answering?
por: Akarajaradwong, Pawitsapak, et al.
Publicado: (2025)
por: Akarajaradwong, Pawitsapak, et al.
Publicado: (2025)
Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM
por: Chi, Xiao, et al.
Publicado: (2025)
por: Chi, Xiao, et al.
Publicado: (2025)
SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
por: Liu, Fang, et al.
Publicado: (2025)
por: Liu, Fang, et al.
Publicado: (2025)
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
por: Yang, Dingkang, et al.
Publicado: (2024)
por: Yang, Dingkang, et al.
Publicado: (2024)
Co-occurrence is not Factual Association in Language Models
por: Zhang, Xiao, et al.
Publicado: (2024)
por: Zhang, Xiao, et al.
Publicado: (2024)
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
por: Siriwardhana, Shamane, et al.
Publicado: (2021)
por: Siriwardhana, Shamane, et al.
Publicado: (2021)
Ejemplares similares
-
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond
por: Hu, Yinghao, et al.
Publicado: (2025) -
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
por: Xiao, Wenyi, et al.
Publicado: (2025) -
PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
por: Huang, Yuting, et al.
Publicado: (2026) -
VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
por: Xiao, Wenyi, et al.
Publicado: (2026) -
Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering
por: Ni, Shiwen, et al.
Publicado: (2024)