SOTAVerified

Language Modelling

A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.

Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.

Source: Wikipedia

Papers

Showing 1290112950 of 17610 papers

TitleStatusHype
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling0
Data Augmentation for Biomedical Factoid Question AnsweringCode0
Breaking Character: Are Subwords Good Enough for MRLs After All?0
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features0
IDPG: An Instance-Dependent Prompt Generation Method0
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model0
Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text GenerationCode0
Characterizing and Understanding the Behavior of Quantized Models for Reliable DeploymentCode0
Fair and Argumentative Language Modeling for Computational ArgumentationCode0
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms0
Music-robust Automatic Lyrics Transcription of Polyphonic MusicCode0
MAESTRO: Matched Speech Text Representations through Modality Matching0
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings0
Autoencoding Language Model Based Ensemble Learning for Commonsense Validation and Explanation0
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition0
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language ModelCode0
On the Effectiveness of Pretrained Models for API Learning0
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative StudyCode0
Into-TTS : Intonation Template Based Prosody Control System0
Aligned Weight Regularizers for Pruning Pretrained Neural Networks0
An Analysis of Semantically-Aligned Speech-Text Embeddings0
Automatic Dialect Density Estimation for African American English0
Entity-Centric Query Refinement0
BERT-Assisted Semantic Annotation Correction for Emotion-Related QuestionsCode0
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems0
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction0
Syntax-informed Question Answering with Heterogeneous Graph Transformer0
Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition0
ESGBERT: Language Model to Help with Classification Tasks Related to Companies Environmental, Social, and Governance Practices0
Generative Pre-Trained Transformers for Biologically Inspired Design0
An Empirical Study of Language Model Integration for Transducer based Speech Recognition0
A 23 MW data centre is all you need0
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data0
PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language ModelCode0
Scaling Language Model Size in Cross-Device Federated Learning0
PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech RepresentationsCode0
Position-based Prompting for Health Outcome Generation0
Probing phoneme, language and speaker information in unsupervised speech representations0
Improving Speech Recognition for Indic Languages using Language Model0
Generative Spoken Dialogue Language Modeling0
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis0
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval0
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model0
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance0
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text NormalizationCode0
ANNA: Enhanced Language Representation for Question Answering0
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English0
Comparing in context: Improving cosine similarity measures with a metric tensor0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Decay RNNValidation perplexity76.67Unverified
2GRUValidation perplexity53.78Unverified
3LSTMValidation perplexity52.73Unverified
4LSTMTest perplexity48.7Unverified
5Temporal CNNTest perplexity45.2Unverified
6TCNTest perplexity45.19Unverified
7GCNN-8Test perplexity44.9Unverified
8Neural cache model (size = 100)Test perplexity44.8Unverified
9Neural cache model (size = 2,000)Test perplexity40.8Unverified
10GPT-2 SmallTest perplexity37.5Unverified
#ModelMetricClaimedVerifiedStatus
1TCNTest perplexity108.47Unverified
2Seq-U-NetTest perplexity107.95Unverified
3GRU (Bai et al., 2018)Test perplexity92.48Unverified
4R-TransformerTest perplexity84.38Unverified
5Zaremba et al. (2014) - LSTM (medium)Test perplexity82.7Unverified
6Gal & Ghahramani (2016) - Variational LSTM (medium)Test perplexity79.7Unverified
7LSTM (Bai et al., 2018)Test perplexity78.93Unverified
8Zaremba et al. (2014) - LSTM (large)Test perplexity78.4Unverified
9Gal & Ghahramani (2016) - Variational LSTM (large)Test perplexity75.2Unverified
10Inan et al. (2016) - Variational RHNTest perplexity66Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM (7 layers)Bit per Character (BPC)1.67Unverified
2HypernetworksBit per Character (BPC)1.34Unverified
3SHA-LSTM (4 layers, h=1024, no attention head)Bit per Character (BPC)1.33Unverified
4LN HM-LSTMBit per Character (BPC)1.32Unverified
5ByteNetBit per Character (BPC)1.31Unverified
6Recurrent Highway NetworksBit per Character (BPC)1.27Unverified
7Large FS-LSTM-4Bit per Character (BPC)1.25Unverified
8Large mLSTMBit per Character (BPC)1.24Unverified
9AWD-LSTM (3 layers)Bit per Character (BPC)1.23Unverified
10Cluster-Former (#C=512)Bit per Character (BPC)1.22Unverified
#ModelMetricClaimedVerifiedStatus
1Smaller Transformer 126M (pre-trained)Test perplexity33Unverified
2OPT 125MTest perplexity32.26Unverified
3Larger Transformer 771M (pre-trained)Test perplexity28.1Unverified
4OPT 1.3BTest perplexity19.55Unverified
5GPT-Neo 125MTest perplexity17.83Unverified
6OPT 2.7BTest perplexity17.81Unverified
7Smaller Transformer 126M (fine-tuned)Test perplexity12Unverified
8GPT-Neo 1.3BTest perplexity11.46Unverified
9Transformer 125MTest perplexity10.7Unverified
10GPT-Neo 2.7BTest perplexity10.44Unverified