Cover Image

Fine-Tuning BERT for Domain-Specific Question Answering: Toward Educational NLP Resources at University Scale

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Montfrond, Aurélie
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications
by: Sturm, Jakob, et al.
Published: (2026)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services
by: Anaissi, Ali, et al.
Published: (2024)

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
by: Kothari, Sara, et al.
Published: (2025)

60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
by: Ye, Junjie, et al.
Published: (2024)

Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
by: Azad, Parham Abed, et al.
Published: (2024)

Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration
by: Qian, Cheng, et al.
Published: (2024)

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)

AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
by: Cui, Jiaxi, et al.
Published: (2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
by: Zhang, Zixuan, et al.
Published: (2024)

QU-NLP at ArchEHR-QA 2026: Two-Stage QLoRA Fine-Tuning of Qwen3-4B for Patient-Oriented Clinical Question Answering and Evidence Sentence Alignment
by: AL-Smadi, Mohammad
Published: (2026)

(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges
by: Abdellatif, Mohamed Hisham
Published: (2025)

Open Domain Question Answering with Conflicting Contexts
by: Liu, Siyi, et al.
Published: (2024)

LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System
by: Zhao, Yan, et al.
Published: (2024)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
by: Kim, Minsang, et al.
Published: (2024)

Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
by: Lorenzoni, Giuliano, et al.
Published: (2024)

MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP
by: Micallef, Kurt, et al.
Published: (2025)

Composable NLP Workflows for BERT-based Ranking and QA System
by: Kumar, Gaurav, et al.
Published: (2025)

Towards Open-Ended Discovery for Low-Resource NLP
by: Dossou, Bonaventure F. P., et al.
Published: (2025)

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
by: Wang, Zhensheng, et al.
Published: (2024)

Long-Context Long-Form Question Answering for Legal Domain
by: Kulkarni, Anagha, et al.
Published: (2026)

Denoising Table-Text Retrieval for Open-Domain Question Answering
by: Kang, Deokhyung, et al.
Published: (2024)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
by: Zhang, Yichi, et al.
Published: (2023)

Parameter Efficient Fine Tuning Llama 3.1 for Answering Arabic Legal Questions: A Case Study on Jordanian Laws
by: Fasha, Mohammed, et al.
Published: (2026)

Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation
by: Lin, Haocheng
Published: (2024)

Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
by: Hassan, Tasnimul, et al.
Published: (2025)

FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering
by: Xue, Siqiao, et al.
Published: (2024)

A Dataset of Open-Domain Question Answering with Multiple-Span Answers
by: Luo, Zhiyi, et al.
Published: (2024)

ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
by: Vakharia, Priyesh, et al.
Published: (2024)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
by: Frisoni, Giacomo, et al.
Published: (2024)

BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
by: Rajpal, Shreya, et al.
Published: (2024)

Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering
by: Calvo-Bartolomé, Lorena, et al.
Published: (2025)

Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
by: Tran, Son Quoc, et al.
Published: (2024)

Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
by: Li, Gang, et al.
Published: (2025)

Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering
by: Fu, Lei, et al.
Published: (2025)

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
by: Cho, Jeonghun, et al.
Published: (2025)

InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
by: Ding, Jing, et al.
Published: (2025)

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
by: Lu, Lei, et al.
Published: (2024)

ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics
by: Yifei, Li S., et al.
Published: (2025)

Towards Question Answering over Large Semi-structured Tables
by: Wang, Yuxiang, et al.
Published: (2025)

From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset
by: Yoo, Haneul, et al.
Published: (2026)