Saved in:
| Main Authors: | Li, Liz, Zhu, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.03563 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams
by: Garcia, Cristiano Mesquita, et al.
Published: (2024)
by: Garcia, Cristiano Mesquita, et al.
Published: (2024)
Memorization of Named Entities in Fine-tuned BERT Models
by: Diera, Andor, et al.
Published: (2022)
by: Diera, Andor, et al.
Published: (2022)
Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings
by: Zheng, Aaron, et al.
Published: (2024)
by: Zheng, Aaron, et al.
Published: (2024)
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
by: Grosjean, Juri, et al.
Published: (2024)
by: Grosjean, Juri, et al.
Published: (2024)
Detecting Bias in Large Language Models: Fine-tuned KcBERT
by: Lee, J. K., et al.
Published: (2024)
by: Lee, J. K., et al.
Published: (2024)
BERT-LID: Leveraging BERT to Improve Spoken Language Identification
by: Nie, Yuting, et al.
Published: (2022)
by: Nie, Yuting, et al.
Published: (2022)
Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
by: Nkhata, Gibson, et al.
Published: (2025)
by: Nkhata, Gibson, et al.
Published: (2025)
Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain
by: Roy, Subal Chandra, et al.
Published: (2024)
by: Roy, Subal Chandra, et al.
Published: (2024)
Few Dimensions are Enough: Fine-tuning BERT with Selected Dimensions Revealed Its Redundant Nature
by: Fukuhata, Shion, et al.
Published: (2025)
by: Fukuhata, Shion, et al.
Published: (2025)
Topic mining based on fine-tuning Sentence-BERT and LDA
by: Li, Jianheng, et al.
Published: (2025)
by: Li, Jianheng, et al.
Published: (2025)
SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation
by: Lv, Changze, et al.
Published: (2023)
by: Lv, Changze, et al.
Published: (2023)
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
by: Hościłowicz, Jakub, et al.
Published: (2023)
by: Hościłowicz, Jakub, et al.
Published: (2023)
FaBERT: Pre-training BERT on Persian Blogs
by: Masumi, Mostafa, et al.
Published: (2024)
by: Masumi, Mostafa, et al.
Published: (2024)
NusaBERT: Teaching IndoBERT to be Multilingual and Multicultural
by: Wongso, Wilson, et al.
Published: (2024)
by: Wongso, Wilson, et al.
Published: (2024)
NeoBERT: A Next-Generation BERT
by: Breton, Lola Le, et al.
Published: (2025)
by: Breton, Lola Le, et al.
Published: (2025)
Energy and Carbon Considerations of Fine-Tuning BERT
by: Wang, Xiaorong, et al.
Published: (2023)
by: Wang, Xiaorong, et al.
Published: (2023)
NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew
by: Shmidman, Shaltiel, et al.
Published: (2025)
by: Shmidman, Shaltiel, et al.
Published: (2025)
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs
by: Yinkfu, Ngeyen
Published: (2025)
by: Yinkfu, Ngeyen
Published: (2025)
QiBERT -- Classifying Online Conversations Messages with BERT as a Feature
by: Ferreira-Saraiva, Bruno D., et al.
Published: (2024)
by: Ferreira-Saraiva, Bruno D., et al.
Published: (2024)
Pre-training technique to localize medical BERT and enhance biomedical BERT
by: Wada, Shoya, et al.
Published: (2020)
by: Wada, Shoya, et al.
Published: (2020)
An investigation of structures responsible for gender bias in BERT and DistilBERT
by: Leteno, Thibaud, et al.
Published: (2024)
by: Leteno, Thibaud, et al.
Published: (2024)
Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus
by: Hartendorp, Fons, et al.
Published: (2024)
by: Hartendorp, Fons, et al.
Published: (2024)
Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language
by: Saeid, Yasser, et al.
Published: (2024)
by: Saeid, Yasser, et al.
Published: (2024)
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets
by: Amiriparian, Shahin, et al.
Published: (2024)
by: Amiriparian, Shahin, et al.
Published: (2024)
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks
by: Noels, Sander, et al.
Published: (2024)
by: Noels, Sander, et al.
Published: (2024)
KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts
by: Autenried, Christian, et al.
Published: (2026)
by: Autenried, Christian, et al.
Published: (2026)
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
by: Kim, Mihyeon, et al.
Published: (2025)
by: Kim, Mihyeon, et al.
Published: (2025)
InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline
by: Kugler, Kai, et al.
Published: (2021)
by: Kugler, Kai, et al.
Published: (2021)
Leveraging IndoBERT and DistilBERT for Indonesian Emotion Classification in E-Commerce Reviews
by: Christian, William, et al.
Published: (2025)
by: Christian, William, et al.
Published: (2025)
BERT Learns (and Teaches) Chemistry
by: Payne, Josh, et al.
Published: (2020)
by: Payne, Josh, et al.
Published: (2020)
ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models
by: Chaffin, Antoine, et al.
Published: (2026)
by: Chaffin, Antoine, et al.
Published: (2026)
KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
by: Awlla, Kozhin muhealddin, et al.
Published: (2025)
by: Awlla, Kozhin muhealddin, et al.
Published: (2025)
GPT or BERT: why not both?
by: Charpentier, Lucas Georges Gabriel, et al.
Published: (2024)
by: Charpentier, Lucas Georges Gabriel, et al.
Published: (2024)
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
by: Hu, Jiacheng, et al.
Published: (2024)
by: Hu, Jiacheng, et al.
Published: (2024)
Mask-guided BERT for Few Shot Text Classification
by: Liao, Wenxiong, et al.
Published: (2023)
by: Liao, Wenxiong, et al.
Published: (2023)
Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages
by: Kubík, Jozef, et al.
Published: (2025)
by: Kubík, Jozef, et al.
Published: (2025)
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
by: Lorenzoni, Giuliano, et al.
Published: (2024)
by: Lorenzoni, Giuliano, et al.
Published: (2024)
DE$^3$-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks
by: He, Jianing, et al.
Published: (2024)
by: He, Jianing, et al.
Published: (2024)
MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation
by: Behrendt, Maike, et al.
Published: (2025)
by: Behrendt, Maike, et al.
Published: (2025)
SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT
by: Cho, Cheol Jun, et al.
Published: (2023)
by: Cho, Cheol Jun, et al.
Published: (2023)
Similar Items
-
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams
by: Garcia, Cristiano Mesquita, et al.
Published: (2024) -
Memorization of Named Entities in Fine-tuned BERT Models
by: Diera, Andor, et al.
Published: (2022) -
Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings
by: Zheng, Aaron, et al.
Published: (2024) -
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
by: Grosjean, Juri, et al.
Published: (2024) -
Detecting Bias in Large Language Models: Fine-tuned KcBERT
by: Lee, J. K., et al.
Published: (2024)