SOTAVerified

Text Classification

Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.

In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.

( Image credit: Text Classification Algorithms: A Survey )

Papers

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Showing 851–900 of 3635 papers

TitleStatusHype
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster InformaticsCode0
Universal Cross-Lingual Text Classification—0
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality—0
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccinationCode0
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language ModelsCode0
Adversarial Evasion Attack Efficiency against Large Language Models—0
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language ModelsCode0
SecureNet: A Comparative Study of DeBERTa and Large Language Models for Phishing Detection—0
Robust Latent Representation Tuning for Image-text Classification—0
AICoderEval: Improving AI Domain Code Generation of Large Language Models—0
BEADs: Bias Evaluation Across Domains—0
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual AwarenessCode0
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models—0
RICo: Reddit ideological communitiesCode0
Fuzzy Convolution Neural Networks for Tabular Data Classification—0
Randomized Geometric Algebra Methods for Convex Neural NetworksCode0
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE—0
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions—0
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification—0
Conformal Transformation of Kernels: A Geometric Perspective on Text Classification—0
Fast Explanations via Policy Gradient-Optimized Explainer—0
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification—0
On the Noise Robustness of In-Context Learning for Text GenerationCode0
Bayesian WeakS-to-Strong from Text Classification to Generation—0
OptLLM: Optimal Assignment of Queries to Large Language ModelsCode0
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks—0
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text ClassificationCode0
Exploration of Masked and Causal Language Modelling for Text Generation—0
A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers—0
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques—0
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference CorpusCode0
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification—0
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents—0
The Curious Case of Class Accuracy Imbalance in LLMs: Post-hoc Debiasing via Nonlinear Integer Programming—0
SaudiBERT: A Large Language Model Pretrained on Saudi Dialect CorporaCode0
Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research—0
Using Machine Translation to Augment Multilingual Classification—0
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing—0
XAMPLER: Learning to Retrieve Cross-Lingual In-Context ExamplesCode0
Semi-Supervised Disease Classification based on Limited Medical Image Data—0
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing—0
On Adversarial Examples for Text Classification by Perturbing Latent Representations—0
Assessing Adversarial Robustness of Large Language Models: An Empirical Study—0
Exploring Extreme Quantization in Spiking Language Models—0
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification—0
Hoaxpedia: A Unified Wikipedia Hoax Articles DatasetCode0
Learning label-label correlations in Extreme Multi-label Classification via Label Features—0
PVF (Parameter Vulnerability Factor): A Scalable Metric for Understanding AI Vulnerability Against SDCs in Model Parameters—0
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All datasetsMTEBAG NewsDBpediaR8TREC-620NEWSUK Key Stage ReadabilityOhsumedYahoo! AnswersMRClimabenchNewsDiscourse

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLAccuracy73.42—Unverified
2ST5-XLAccuracy72.84—Unverified
3ST5-LargeAccuracy72.31—Unverified
4Ada SimilarityAccuracy70.44—Unverified
5SGPT-5.8B-nliAccuracy70.14—Unverified
6ST5-BaseAccuracy69.81—Unverified
7SGPT-5.8B-msmarcoAccuracy68.13—Unverified
8MPNet-multilingualAccuracy67.91—Unverified
9GTR-XXLAccuracy67.41—Unverified
10SimCSE-BERT-supAccuracy67.32—Unverified
#ModelMetricClaimedVerifiedStatus
1Mistral-Small-24B + CAPOError15.7—Unverified
2ToWE-SGError14—Unverified
3Qwen2.5-32B + CAPOError12.93—Unverified
4Llama-3.3-70B + CAPOError11.2—Unverified
5Seq2CNN with GWS(50)Error9.64—Unverified
6Char-level CNNError9.51—Unverified
7SVDCNNError9.45—Unverified
8VDCNError8.67—Unverified
9Balanced+bi-leaf-RNNError7.9—Unverified
10CCCapsNetError7.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Seq2CNN(50)Error2.77—Unverified
2Char-level CNNError1.55—Unverified
3SWEM-concatError1.43—Unverified
4FastTextError1.4—Unverified
5VDCNError1.29—Unverified
6CCCapsNetError1.28—Unverified
7Balanced+bi-leaf-RNNError1.2—Unverified
8BERT large UDAError1.09—Unverified
9M-ACNNError1.07—Unverified
10EXAMError1—Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy98.45—Unverified
2C-BERT (ESGNN + BERT)Accuracy98.28—Unverified
3ESGNNAccuracy98.23—Unverified
4RoBERTaGCNAccuracy98.2—Unverified
5BERTAccuracy98.17—Unverified
6SGNNAccuracy98.09—Unverified
7ERNIE 2.0Accuracy98.04—Unverified
8DistilBERTAccuracy97.98—Unverified
9Our Model*Accuracy97.8—Unverified
10ALBERTv2Accuracy97.62—Unverified
#ModelMetricClaimedVerifiedStatus
1TM-GloveError9.96—Unverified
2byte mLSTM7Error9.6—Unverified
3SWEM-averError7.8—Unverified
4DELTA (CNN)Error7.8—Unverified
5Capsule-BError7.2—Unverified
6STM+TSED+PT+2LError7.04—Unverified
7GRU-RNN-GLOVEError7—Unverified
8MPAD-pathError6.2—Unverified
9VLAWEError5.8—Unverified
10C-LSTMError5.4—Unverified
#ModelMetricClaimedVerifiedStatus
1LinearSVM+TFIDFAccuracy93—Unverified
2RoBERTaGCNAccuracy89.5—Unverified
3SSGCAccuracy88.6—Unverified
4SGCAccuracy88.5—Unverified
5SGCNAccuracy88.5—Unverified
6RMDL (15 RDLs)Accuracy87.91—Unverified
7Sparse Tensor ClassifierAccuracy87.3—Unverified
8GraphStarAccuracy86.9—Unverified
9NABoE-fullAccuracy86.8—Unverified
10Text GCNAccuracy86.34—Unverified
#ModelMetricClaimedVerifiedStatus
1ELECTRA + ANNF199.6—Unverified
2ERNIE + ANNF199.4—Unverified
3XLNet + ANNF199.2—Unverified
4RoBERTa + ANNF198.7—Unverified
5Longformer + ANNF193.9—Unverified
6BERT + ANNF190.5—Unverified
7ALBERT + ANNF179.7—Unverified
8BERTF175—Unverified
9DistilBERTF174.4—Unverified
10XLNetF174—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTaGCNAccuracy72.8—Unverified
2Our Model*Accuracy69.4—Unverified
3SSGCAccuracy68.5—Unverified
4SGCAccuracy68.5—Unverified
5SGCNAccuracy68.5—Unverified
6Text GCNAccuracy68.36—Unverified
7GraphStarAccuracy64.2—Unverified
8ApproxRepSetAccuracy64.06—Unverified
9REL-RWMD k-NNAccuracy58.74—Unverified
10CNN+LowercasedAccuracy36.2—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-ITPT-FiTAccuracy77.62—Unverified
2DRNNAccuracy76.26—Unverified
3DELTA (HAN)Accuracy75.1—Unverified
4EXAMAccuracy74.8—Unverified
5DNC+CUWAccuracy74.3—Unverified
6ULMFiT (Small data)Accuracy74.3—Unverified
7CCCapsNetAccuracy73.85—Unverified
8SWEM-concatAccuracy73.53—Unverified
9FastTextAccuracy72.3—Unverified
10Seq2CNN(50)Accuracy55.39—Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy90.21—Unverified
2RoBERTaGCNAccuracy89.7—Unverified
3ERNIE 2.0 (optimized)Accuracy89.53—Unverified
4RoBERTaAccuracy89.42—Unverified
5ERNIE 2.0Accuracy88.97—Unverified
6BERTAccuracy86.94—Unverified
7ALBERTv2Accuracy86.02—Unverified
8DistilBERTAccuracy85.31—Unverified
9SSGCAccuracy76.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CliReBERT (P0L3/clirebert_clirevocab_uncased)Evaluation Macro F10.65—Unverified
2ClimateBERT (climatebert/distilroberta-base-climate-f)Evaluation Macro F10.64—Unverified
3BERT (google-bert/bert-base-uncased)Evaluation Macro F10.61—Unverified
4CliSciBERT (P0L3/cliscibert_scivocab_uncased)Evaluation Macro F10.61—Unverified
5SciBERT (allenai/scibert_scivocab_cased)Evaluation Macro F10.59—Unverified
6DistilRoBERTa (distilbert/distilroberta-base)Evaluation Macro F10.58—Unverified
7SciClimateBERT (P0L3/sciclimatebert)Evaluation Macro F10.58—Unverified
8RoBERTa (FacebookAI/roberta-base)Evaluation Macro F10.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Human (Post-Rec.) (Spangher et al., 2021)macro F173.69—Unverified
2MT-Mac (Spangher et al., 2021)macro F163.46—Unverified
3MT-Mic (Spangher et al., 2021)macro F161.89—Unverified
4RL-IP/TT (Choubey et al., 2021)macro F157—Unverified
5Document LSTM + Document encoding (Choubey et al., 2020)macro F154.4—Unverified
6CRF Fine-grained (Choubey et al., 2020)macro F152.9—Unverified
7Human (Blind) (Spangher et al., 2021)macro F146.18—Unverified
8Feature-based (SVM) (Choubey et al., 2020)macro F138.3—Unverified
#ModelMetricClaimedVerifiedStatus
11-6 BertGCNAccuracy96.6—Unverified
2GraphStarAccuracy95—Unverified
3Our Model*Accuracy94.6—Unverified
4SSGCAccuracy94.5—Unverified
5SGCAccuracy94—Unverified
6SGCNAccuracy94—Unverified
7Text GCNAccuracy93.56—Unverified
8TM-GloveAccuracy89.14—Unverified