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

Showing 150 of 3635 papers

TitleStatusHype
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
AutoTrain: No-code training for state-of-the-art modelsCode7
FourierKAN outperforms MLP on Text Classification Head Fine-tuningCode7
Interactive Prompt Debugging with Sequence SalienceCode7
h2oGPT: Democratizing Large Language ModelsCode6
ChatGPT Outperforms Crowd-Workers for Text-Annotation TasksCode4
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice PerspectiveCode4
MTEB: Massive Text Embedding BenchmarkCode4
N-Grammer: Augmenting Transformers with latent n-gramsCode4
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language ModelsCode3
FusionBench: A Comprehensive Benchmark of Deep Model FusionCode3
Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation DatasetCode3
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of ExpertsCode3
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many ClassesCode3
A Survey of Large Language Models in Finance (FinLLMs)Code3
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment AnalysisCode3
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language ModelsCode3
Personalized Benchmarking with the Ludwig Benchmarking ToolkitCode3
RoFormer: Enhanced Transformer with Rotary Position EmbeddingCode3
Ludwig: a type-based declarative deep learning toolboxCode3
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
Universal Language Model Fine-tuning for Text ClassificationCode3
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical AbstractsCode3
CAPO: Cost-Aware Prompt OptimizationCode2
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern GeneratorsCode2
EMR-Merging: Tuning-Free High-Performance Model MergingCode2
Oceanship: A Large-Scale Dataset for Underwater Audio Target RecognitionCode2
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical DomainCode2
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular QuantizersCode2
Multiscale Positive-Unlabeled Detection of AI-Generated TextsCode2
MiniRBT: A Two-stage Distilled Small Chinese Pre-trained ModelCode2
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained DiffusionCode2
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text ClassificationCode2
CSL: A Large-scale Chinese Scientific Literature DatasetCode2
Label Sleuth: From Unlabeled Text to a Classifier in a Few HoursCode2
LinkBERT: Pretraining Language Models with Document LinksCode2
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training QuantizationCode2
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
Few-Shot Text Generation with Pattern-Exploiting TrainingCode2
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text ClassificationCode2
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPCode2
ktrain: A Low-Code Library for Augmented Machine LearningCode2
BAE: BERT-based Adversarial Examples for Text ClassificationCode2
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language ProcessingCode2
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment ApproachCode2
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksCode2
Simple Recurrent Units for Highly Parallelizable RecurrenceCode2
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data AnnotationCode1
PRL: Prompts from Reinforcement LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLAccuracy73.42Unverified
2ST5-XLAccuracy72.84Unverified
3ST5-LargeAccuracy72.31Unverified
4Ada SimilarityAccuracy70.44Unverified
5SGPT-5.8B-nliAccuracy70.14Unverified
6ST5-BaseAccuracy69.81Unverified
7SGPT-5.8B-msmarcoAccuracy68.13Unverified
8MPNet-multilingualAccuracy67.91Unverified
9GTR-XXLAccuracy67.41Unverified
10SimCSE-BERT-supAccuracy67.32Unverified
#ModelMetricClaimedVerifiedStatus
1Mistral-Small-24B + CAPOError15.7Unverified
2ToWE-SGError14Unverified
3Qwen2.5-32B + CAPOError12.93Unverified
4Llama-3.3-70B + CAPOError11.2Unverified
5Seq2CNN with GWS(50)Error9.64Unverified
6Char-level CNNError9.51Unverified
7SVDCNNError9.45Unverified
8VDCNError8.67Unverified
9Balanced+bi-leaf-RNNError7.9Unverified
10CCCapsNetError7.61Unverified
#ModelMetricClaimedVerifiedStatus
1Seq2CNN(50)Error2.77Unverified
2Char-level CNNError1.55Unverified
3SWEM-concatError1.43Unverified
4FastTextError1.4Unverified
5VDCNError1.29Unverified
6CCCapsNetError1.28Unverified
7Balanced+bi-leaf-RNNError1.2Unverified
8BERT large UDAError1.09Unverified
9M-ACNNError1.07Unverified
10EXAMError1Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy98.45Unverified
2C-BERT (ESGNN + BERT)Accuracy98.28Unverified
3ESGNNAccuracy98.23Unverified
4RoBERTaGCNAccuracy98.2Unverified
5BERTAccuracy98.17Unverified
6SGNNAccuracy98.09Unverified
7ERNIE 2.0Accuracy98.04Unverified
8DistilBERTAccuracy97.98Unverified
9Our Model*Accuracy97.8Unverified
10ALBERTv2Accuracy97.62Unverified
#ModelMetricClaimedVerifiedStatus
1TM-GloveError9.96Unverified
2byte mLSTM7Error9.6Unverified
3DELTA (CNN)Error7.8Unverified
4SWEM-averError7.8Unverified
5Capsule-BError7.2Unverified
6STM+TSED+PT+2LError7.04Unverified
7GRU-RNN-GLOVEError7Unverified
8MPAD-pathError6.2Unverified
9VLAWEError5.8Unverified
10C-LSTMError5.4Unverified
#ModelMetricClaimedVerifiedStatus
1LinearSVM+TFIDFAccuracy93Unverified
2RoBERTaGCNAccuracy89.5Unverified
3SSGCAccuracy88.6Unverified
4SGCAccuracy88.5Unverified
5SGCNAccuracy88.5Unverified
6RMDL (15 RDLs)Accuracy87.91Unverified
7Sparse Tensor ClassifierAccuracy87.3Unverified
8GraphStarAccuracy86.9Unverified
9NABoE-fullAccuracy86.8Unverified
10Text GCNAccuracy86.34Unverified
#ModelMetricClaimedVerifiedStatus
1ELECTRA + ANNF199.6Unverified
2ERNIE + ANNF199.4Unverified
3XLNet + ANNF199.2Unverified
4RoBERTa + ANNF198.7Unverified
5Longformer + ANNF193.9Unverified
6BERT + ANNF190.5Unverified
7ALBERT + ANNF179.7Unverified
8BERTF175Unverified
9DistilBERTF174.4Unverified
10LongformerF174Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTaGCNAccuracy72.8Unverified
2Our Model*Accuracy69.4Unverified
3SSGCAccuracy68.5Unverified
4SGCNAccuracy68.5Unverified
5SGCAccuracy68.5Unverified
6Text GCNAccuracy68.36Unverified
7GraphStarAccuracy64.2Unverified
8ApproxRepSetAccuracy64.06Unverified
9REL-RWMD k-NNAccuracy58.74Unverified
10CNN+LowercasedAccuracy36.2Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-ITPT-FiTAccuracy77.62Unverified
2DRNNAccuracy76.26Unverified
3DELTA (HAN)Accuracy75.1Unverified
4EXAMAccuracy74.8Unverified
5DNC+CUWAccuracy74.3Unverified
6ULMFiT (Small data)Accuracy74.3Unverified
7CCCapsNetAccuracy73.85Unverified
8SWEM-concatAccuracy73.53Unverified
9FastTextAccuracy72.3Unverified
10Seq2CNN(50)Accuracy55.39Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy90.21Unverified
2RoBERTaGCNAccuracy89.7Unverified
3ERNIE 2.0 (optimized)Accuracy89.53Unverified
4RoBERTaAccuracy89.42Unverified
5ERNIE 2.0Accuracy88.97Unverified
6BERTAccuracy86.94Unverified
7ALBERTv2Accuracy86.02Unverified
8DistilBERTAccuracy85.31Unverified
9SSGCAccuracy76.7Unverified
#ModelMetricClaimedVerifiedStatus
1CliReBERT (P0L3/clirebert_clirevocab_uncased)Evaluation Macro F10.65Unverified
2ClimateBERT (climatebert/distilroberta-base-climate-f)Evaluation Macro F10.64Unverified
3BERT (google-bert/bert-base-uncased)Evaluation Macro F10.61Unverified
4CliSciBERT (P0L3/cliscibert_scivocab_uncased)Evaluation Macro F10.61Unverified
5SciBERT (allenai/scibert_scivocab_cased)Evaluation Macro F10.59Unverified
6DistilRoBERTa (distilbert/distilroberta-base)Evaluation Macro F10.58Unverified
7SciClimateBERT (P0L3/sciclimatebert)Evaluation Macro F10.58Unverified
8RoBERTa (FacebookAI/roberta-base)Evaluation Macro F10.57Unverified
#ModelMetricClaimedVerifiedStatus
1Human (Post-Rec.) (Spangher et al., 2021)macro F173.69Unverified
2MT-Mac (Spangher et al., 2021)macro F163.46Unverified
3MT-Mic (Spangher et al., 2021)macro F161.89Unverified
4RL-IP/TT (Choubey et al., 2021)macro F157Unverified
5Document LSTM + Document encoding (Choubey et al., 2020)macro F154.4Unverified
6CRF Fine-grained (Choubey et al., 2020)macro F152.9Unverified
7Human (Blind) (Spangher et al., 2021)macro F146.18Unverified
8Feature-based (SVM) (Choubey et al., 2020)macro F138.3Unverified
#ModelMetricClaimedVerifiedStatus
11-6 BertGCNAccuracy96.6Unverified
2GraphStarAccuracy95Unverified
3Our Model*Accuracy94.6Unverified
4SSGCAccuracy94.5Unverified
5SGCAccuracy94Unverified
6SGCNAccuracy94Unverified
7Text GCNAccuracy93.56Unverified
8TM-GloveAccuracy89.14Unverified