Universal Language Model Fine-tuning for Text Classification | Paper Citation Record

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XLNet: Generalized Autoregressive Pretraining for Language Understanding cites this paper.

XLNet: Generalized Autoregressive Pretraining for Language Understanding Universal Language Model Fine-tuning for Text Classification

Reference 14

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Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis cites this paper.

Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis Universal Language Model Fine-tuning for Text Classification

Reference 19

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Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding cites this paper.

Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding Universal Language Model Fine-tuning for Text Classification

Reference 6

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Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study cites this paper.

Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study Universal Language Model Fine-tuning for Text Classification

Reference 15

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Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction cites this paper.

Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction Universal Language Model Fine-tuning for Text Classification

Reference 6

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A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning cites this paper.

A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning Universal Language Model Fine-tuning for Text Classification

Reference 21

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RoBERTa: A Robustly Optimized BERT Pretraining Approach cites this paper.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Universal Language Model Fine-tuning for Text Classification

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.438569Z

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Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding cites this paper.

Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding Universal Language Model Fine-tuning for Text Classification

Reference 2017

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Visualizing and Understanding the Effectiveness of BERT cites this paper.

Visualizing and Understanding the Effectiveness of BERT Universal Language Model Fine-tuning for Text Classification

Reference 16

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Few-shot Text Classification with Distributional Signatures cites this paper.

Few-shot Text Classification with Distributional Signatures Universal Language Model Fine-tuning for Text Classification

Reference 1997

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CFO: A Framework for Building Production NLP Systems cites this paper.

CFO: A Framework for Building Production NLP Systems Universal Language Model Fine-tuning for Text Classification

Reference 11

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Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction cites this paper.

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction Universal Language Model Fine-tuning for Text Classification

Reference 18

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Encoder-Agnostic Adaptation for Conditional Language Generation cites this paper.

Encoder-Agnostic Adaptation for Conditional Language Generation Universal Language Model Fine-tuning for Text Classification

Reference 15

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PrivFT: Private and Fast Text Classification with Homomorphic Encryption cites this paper.

PrivFT: Private and Fast Text Classification with Homomorphic Encryption Universal Language Model Fine-tuning for Text Classification

Reference 33

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A framework for anomaly detection using language modeling, and its applications to finance cites this paper.

A framework for anomaly detection using language modeling, and its applications to finance Universal Language Model Fine-tuning for Text Classification

Reference 6

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Improving Neural Story Generation by Targeted Common Sense Grounding cites this paper.

Improving Neural Story Generation by Targeted Common Sense Grounding Universal Language Model Fine-tuning for Text Classification

Reference 10

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FinBERT: Financial Sentiment Analysis with Pre-trained Language Models cites this paper.

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models Universal Language Model Fine-tuning for Text Classification

Reference 5

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Bridging the Gap for Tokenizer-Free Language Models cites this paper.

Bridging the Gap for Tokenizer-Free Language Models Universal Language Model Fine-tuning for Text Classification

Reference 14

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Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture cites this paper.

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture Universal Language Model Fine-tuning for Text Classification

Reference 24

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Knowledge Enhanced Attention for Robust Natural Language Inference cites this paper.

Knowledge Enhanced Attention for Robust Natural Language Inference Universal Language Model Fine-tuning for Text Classification

Reference 16

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Mogrifier LSTM cites this paper.

Mogrifier LSTM Universal Language Model Fine-tuning for Text Classification

Reference 20

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CTRL: A Conditional Transformer Language Model for Controllable Generation cites this paper.

CTRL: A Conditional Transformer Language Model for Controllable Generation Universal Language Model Fine-tuning for Text Classification

Reference 17

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Fine-Tuning Language Models from Human Preferences cites this paper.

Fine-Tuning Language Models from Human Preferences Universal Language Model Fine-tuning for Text Classification

Reference 7

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ALBERT: A Lite BERT for Self-supervised Learning of Language Representations cites this paper.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Universal Language Model Fine-tuning for Text Classification

Reference 17

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Quantifying the Carbon Emissions of Machine Learning cites this paper.

Quantifying the Carbon Emissions of Machine Learning Universal Language Model Fine-tuning for Text Classification

Reference 9

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Universal Language Model Fine-tuning for Text Classification

Reference 28

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How Much Knowledge Can You Pack Into the Parameters of a Language Model? cites this paper.

How Much Knowledge Can You Pack Into the Parameters of a Language Model? Universal Language Model Fine-tuning for Text Classification

Reference 49

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Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Universal Language Model Fine-tuning for Text Classification

Reference 23

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TabTransformer: Tabular Data Modeling Using Contextual Embeddings cites this paper.

TabTransformer: Tabular Data Modeling Using Contextual Embeddings Universal Language Model Fine-tuning for Text Classification

Reference 79

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Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Universal Language Model Fine-tuning for Text Classification

Reference 176

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A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Universal Language Model Fine-tuning for Text Classification

Reference 43

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Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models Universal Language Model Fine-tuning for Text Classification

Reference 118

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Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning Universal Language Model Fine-tuning for Text Classification

Reference 45

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OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Universal Language Model Fine-tuning for Text Classification

Reference 124

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Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Universal Language Model Fine-tuning for Text Classification

Reference 98

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Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Universal Language Model Fine-tuning for Text Classification

Reference 33

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Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Universal Language Model Fine-tuning for Text Classification

Reference 43

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MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Universal Language Model Fine-tuning for Text Classification

Reference 23

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Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions cites this paper.

Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Universal Language Model Fine-tuning for Text Classification

Reference 2018

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On the Surprising Effectiveness of Attention Transfer for Vision Transformers cites this paper.

On the Surprising Effectiveness of Attention Transfer for Vision Transformers Universal Language Model Fine-tuning for Text Classification

Reference 27

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GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning cites this paper.

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning Universal Language Model Fine-tuning for Text Classification

Reference 45

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QEQR: An Exploration of Query Expansion Methods for Question Retrieval in CQA Services cites this paper.

QEQR: An Exploration of Query Expansion Methods for Question Retrieval in CQA Services Universal Language Model Fine-tuning for Text Classification

Reference 28

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Classifier Enhanced Deep Learning Model for Erythroblast Differentiation with Limited Data cites this paper.

Classifier Enhanced Deep Learning Model for Erythroblast Differentiation with Limited Data Universal Language Model Fine-tuning for Text Classification

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On the ERM Principle in Meta-Learning cites this paper.

On the ERM Principle in Meta-Learning Universal Language Model Fine-tuning for Text Classification

Reference 24

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On the Effectiveness of Incremental Training of Large Language Models cites this paper.

On the Effectiveness of Incremental Training of Large Language Models Universal Language Model Fine-tuning for Text Classification

Reference 21

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Quantized Delta Weight Is Safety Keeper cites this paper.

Quantized Delta Weight Is Safety Keeper Universal Language Model Fine-tuning for Text Classification

Reference 19

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Best Practices for Large Language Models in Radiology cites this paper.

Best Practices for Large Language Models in Radiology Universal Language Model Fine-tuning for Text Classification

Reference 68

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Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning cites this paper.

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning Universal Language Model Fine-tuning for Text Classification

Reference 53

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Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction cites this paper.

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction Universal Language Model Fine-tuning for Text Classification

Reference 17

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AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning cites this paper.

AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning Universal Language Model Fine-tuning for Text Classification

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Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline cites this paper.

Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline Universal Language Model Fine-tuning for Text Classification

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The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models cites this paper.

The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models Universal Language Model Fine-tuning for Text Classification

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Cross-Demographic Portability of Deep NLP-Based Depression Models cites this paper.

Cross-Demographic Portability of Deep NLP-Based Depression Models Universal Language Model Fine-tuning for Text Classification

Reference 38

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Robust Speech and Natural Language Processing Models for Depression Screening cites this paper.

Robust Speech and Natural Language Processing Models for Depression Screening Universal Language Model Fine-tuning for Text Classification

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Differentiable Prompt Learning for Vision Language Models cites this paper.

Differentiable Prompt Learning for Vision Language Models Universal Language Model Fine-tuning for Text Classification

Reference 2024

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Optimizing Speech-Input Length for Speaker-Independent Depression Classification cites this paper.

Optimizing Speech-Input Length for Speaker-Independent Depression Classification Universal Language Model Fine-tuning for Text Classification

Reference 36

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Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention cites this paper.

Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention Universal Language Model Fine-tuning for Text Classification

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Auxiliary Learning and its Statistical Understanding cites this paper.

Auxiliary Learning and its Statistical Understanding Universal Language Model Fine-tuning for Text Classification

Reference 10

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Reference 45

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Reference 2019

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Reference 43

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Reference 27

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Reference 17

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Reference 12

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Reference 21

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Reference 8

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Reference 12

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ForeCite: Adapting Pre-Trained Language Models to Predict Future Citation Rates of Academic Papers cites this paper.

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Reference 2018

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Reference 2023

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Reference 66

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Reference 23

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Reference 49

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Reference 93

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Reference 37

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Reference 33

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Reference 17

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Reference 71

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Reference 47

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Reference 20

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Reference 28

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Reference 2024

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Reference 60

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Reference 32

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Reference 81

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Reference 41

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Reference 2020

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