Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillation
Fuente:
arXiv
Saved in:
| Main Author: | Thomas, Graison Jos |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026)
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026)
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
by: Yuan, Bithiah
Published: (2025)
by: Yuan, Bithiah
Published: (2025)
The Data Efficiency Frontier of Financial Foundation Models: Scaling Laws from Continued Pretraining
by: Ponnock, Jesse
Published: (2025)
by: Ponnock, Jesse
Published: (2025)
IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
by: Nakasho, Kazuhisa
Published: (2026)
by: Nakasho, Kazuhisa
Published: (2026)
Longitudinal Sentiment Classification of Reddit Posts
by: Nwaoha, Fabian, et al.
Published: (2024)
by: Nwaoha, Fabian, et al.
Published: (2024)
Memory Bank Compression for Continual Adaptation of Large Language Models
by: Katraouras, Thomas, et al.
Published: (2026)
by: Katraouras, Thomas, et al.
Published: (2026)
Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance
by: Naser-Moghadasi, Mahdi, et al.
Published: (2026)
by: Naser-Moghadasi, Mahdi, et al.
Published: (2026)
Weakly Supervised Distillation of Hallucination Signals into Transformer Representations
by: Salehmohamed, Shoaib Sadiq, et al.
Published: (2026)
by: Salehmohamed, Shoaib Sadiq, et al.
Published: (2026)
PersonalLLM: Tailoring LLMs to Individual Preferences
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
by: Zhang, Gongbo, et al.
Published: (2026)
by: Zhang, Gongbo, et al.
Published: (2026)
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
by: Xu, Shuyao, et al.
Published: (2025)
by: Xu, Shuyao, et al.
Published: (2025)
Quantization-Robust LLM Unlearning via Low-Rank Adaptation
by: Abitante, João Vitor Boer, et al.
Published: (2026)
by: Abitante, João Vitor Boer, et al.
Published: (2026)
Rethinking Thinking Tokens: Understanding Why They Underperform in Practice
by: Vennam, Sreeram, et al.
Published: (2024)
by: Vennam, Sreeram, et al.
Published: (2024)
On the logical skills of large language models: evaluations using arbitrarily complex first-order logic problems
by: Ibragimov, Shokhrukh, et al.
Published: (2025)
by: Ibragimov, Shokhrukh, et al.
Published: (2025)
Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis
by: Cromp, Sonia, et al.
Published: (2025)
by: Cromp, Sonia, et al.
Published: (2025)
Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much)
by: Yu, Zony, et al.
Published: (2025)
by: Yu, Zony, et al.
Published: (2025)
ASR Error Correction in Low-Resource Burmese with Alignment-Enhanced Transformers using Phonetic Features
by: Lin, Ye Bhone, et al.
Published: (2025)
by: Lin, Ye Bhone, et al.
Published: (2025)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
SURE-RAG: Sufficiency and Uncertainty-Aware Evidence Verification for Selective Retrieval-Augmented Generation
by: Qiu, Jingxi, et al.
Published: (2026)
by: Qiu, Jingxi, et al.
Published: (2026)
Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction
by: Walker, Nicholas
Published: (2024)
by: Walker, Nicholas
Published: (2024)
Sarcasm Detection in a Less-Resourced Language
by: Đoković, Lazar, et al.
Published: (2024)
by: Đoković, Lazar, et al.
Published: (2024)
Thread Detection and Response Generation using Transformers with Prompt Optimisation
by: T, Kevin Joshua, et al.
Published: (2024)
by: T, Kevin Joshua, et al.
Published: (2024)
LLM Vocabulary Compression for Low-Compute Environments
by: Vennam, Sreeram, et al.
Published: (2024)
by: Vennam, Sreeram, et al.
Published: (2024)
Discovering Transformer Circuits via a Hybrid Attribution and Pruning Framework
by: Gu, Hao, et al.
Published: (2025)
by: Gu, Hao, et al.
Published: (2025)
HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools
by: Garg, Aashna, et al.
Published: (2026)
by: Garg, Aashna, et al.
Published: (2026)
Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning
by: Steele, Brady
Published: (2026)
by: Steele, Brady
Published: (2026)
OCRR: A Benchmark for Online Correction Recovery under Distribution Shift
by: Grassi, Adrian
Published: (2026)
by: Grassi, Adrian
Published: (2026)
Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility
by: Szilvasy, Gergely, et al.
Published: (2026)
by: Szilvasy, Gergely, et al.
Published: (2026)
Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned LoRA Modulation
by: Jaber, Jaber, et al.
Published: (2026)
by: Jaber, Jaber, et al.
Published: (2026)
Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure
by: Mahmood, Syed Naveed, et al.
Published: (2026)
by: Mahmood, Syed Naveed, et al.
Published: (2026)
When Models Can't Follow: Testing Instruction Adherence Across 256 LLMs
by: Young, Richard J., et al.
Published: (2025)
by: Young, Richard J., et al.
Published: (2025)
Continuous-Depth Transformers with Learned Control Dynamics
by: Jemley, Peter
Published: (2026)
by: Jemley, Peter
Published: (2026)
Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
by: Bianchessi, Arthur S., et al.
Published: (2025)
by: Bianchessi, Arthur S., et al.
Published: (2025)
TIME: Temporally Intelligent Meta-reasoning Engine for Context-Triggered Explicit Reasoning
by: Das, Susmit
Published: (2026)
by: Das, Susmit
Published: (2026)
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
by: Zhu, Jiajun, et al.
Published: (2025)
by: Zhu, Jiajun, et al.
Published: (2025)
Combining Language and Topic Models for Hierarchical Text Classification
by: Toit, Jaco du, et al.
Published: (2025)
by: Toit, Jaco du, et al.
Published: (2025)
Pre-trained Models Perform the Best When Token Distributions Follow Zipf's Law
by: He, Yanjin, et al.
Published: (2025)
by: He, Yanjin, et al.
Published: (2025)
Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders
by: Patel, Het, et al.
Published: (2026)
by: Patel, Het, et al.
Published: (2026)
Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
by: Shravan, Rohan
Published: (2026)
by: Shravan, Rohan
Published: (2026)
Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding
by: Feng, Qi, et al.
Published: (2025)
by: Feng, Qi, et al.
Published: (2025)
Similar Items
-
Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026) -
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
by: Yuan, Bithiah
Published: (2025) -
The Data Efficiency Frontier of Financial Foundation Models: Scaling Laws from Continued Pretraining
by: Ponnock, Jesse
Published: (2025) -
IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
by: Nakasho, Kazuhisa
Published: (2026) -
Longitudinal Sentiment Classification of Reddit Posts
by: Nwaoha, Fabian, et al.
Published: (2024)