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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

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Showing 8901–8950 of 17610 papers

TitleStatusHype
Language Segmentation—0
Investigating Language-Specific Calibration For Pruning Multilingual Large Language Models—0
LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case—0
Language variety identification in Spanish tweets—0
LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model—0
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem—0
LanSER: Language-Model Supported Speech Emotion Recognition—0
LAPIS: Language Model-Augmented Police Investigation System—0
LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning—0
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model—0
Large AI Model Empowered Multimodal Semantic Communications—0
Large aligned treebanks for syntax-based machine translation—0
Large Body Language Models—0
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents—0
Large corpora and large language models: a replicable method for automating grammatical annotation—0
Large Dataset and Language Model Fun-Tuning for Humor Recognition—0
Large Generative Graph Models—0
Large Generative Model-assisted Talking-face Semantic Communication System—0
Large Knowledge Model: Perspectives and Challenges—0
Large Language Bayes—0
NetLLM: Adapting Large Language Models for Networking—0
Large Language Model Adaptation for Financial Sentiment Analysis—0
Large Language Model Agent as a Mechanical Designer—0
Large Language Model Agent for Fake News Detection—0
Large Language Model Agent for Hyper-Parameter Optimization—0
Large Language Model Agent for Modular Task Execution in Drug Discovery—0
Large Language Model Agent in Financial Trading: A Survey—0
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness—0
Large Language Model-aided Edge Learning in Distribution System State Estimation—0
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization—0
Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach—0
Large Language Model Alignment: A Survey—0
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course—0
Large Language Model as a Universal Clinical Multi-task Decoder—0
Rational Decision-Making Agent with Internalized Utility Judgment—0
Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study—0
Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach—0
Large Language Model-assisted Speech and Pointing Benefits Multiple 3D Object Selection in Virtual Reality—0
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy—0
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning—0
Large Language Model-Aware In-Context Learning for Code Generation—0
Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease—0
SaVe-TAG: Semantic-aware Vicinal Risk Minimization for Long-Tailed Text-Attributed Graphs—0
Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism—0
Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder—0
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition—0
Large Language Model-Based Interpretable Machine Learning Control in Building Energy Systems—0
Large Language Model-Based Knowledge Graph System Construction for Sustainable Development Goals: An AI-Based Speculative Design Perspective—0
Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things—0
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All datasetsWikiText-103Penn Treebank (Word Level)enwik8The PileWikiText-2LAMBADAOne Billion WordText8Penn Treebank (Character Level)Hutter PrizeOpenWebTextSALMon

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Decay RNNValidation perplexity76.67—Unverified
2GRUValidation perplexity53.78—Unverified
3LSTMValidation perplexity52.73—Unverified
4LSTMTest perplexity48.7—Unverified
5Temporal CNNTest perplexity45.2—Unverified
6TCNTest perplexity45.19—Unverified
7GCNN-8Test perplexity44.9—Unverified
8Neural cache model (size = 100)Test perplexity44.8—Unverified
9Neural cache model (size = 2,000)Test perplexity40.8—Unverified
10GPT-2 SmallTest perplexity37.5—Unverified
#ModelMetricClaimedVerifiedStatus
1TCNTest perplexity108.47—Unverified
2Seq-U-NetTest perplexity107.95—Unverified
3GRU (Bai et al., 2018)Test perplexity92.48—Unverified
4R-TransformerTest perplexity84.38—Unverified
5Zaremba et al. (2014) - LSTM (medium)Test perplexity82.7—Unverified
6Gal & Ghahramani (2016) - Variational LSTM (medium)Test perplexity79.7—Unverified
7LSTM (Bai et al., 2018)Test perplexity78.93—Unverified
8Zaremba et al. (2014) - LSTM (large)Test perplexity78.4—Unverified
9Gal & Ghahramani (2016) - Variational LSTM (large)Test perplexity75.2—Unverified
10Inan et al. (2016) - Variational RHNTest perplexity66—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM (7 layers)Bit per Character (BPC)1.67—Unverified
2HypernetworksBit per Character (BPC)1.34—Unverified
3SHA-LSTM (4 layers, h=1024, no attention head)Bit per Character (BPC)1.33—Unverified
4LN HM-LSTMBit per Character (BPC)1.32—Unverified
5ByteNetBit per Character (BPC)1.31—Unverified
6Recurrent Highway NetworksBit per Character (BPC)1.27—Unverified
7Large FS-LSTM-4Bit per Character (BPC)1.25—Unverified
8Large mLSTMBit per Character (BPC)1.24—Unverified
9AWD-LSTM (3 layers)Bit per Character (BPC)1.23—Unverified
10Cluster-Former (#C=512)Bit per Character (BPC)1.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Smaller Transformer 126M (pre-trained)Test perplexity33—Unverified
2OPT 125MTest perplexity32.26—Unverified
3Larger Transformer 771M (pre-trained)Test perplexity28.1—Unverified
4OPT 1.3BTest perplexity19.55—Unverified
5GPT-Neo 125MTest perplexity17.83—Unverified
6OPT 2.7BTest perplexity17.81—Unverified
7Smaller Transformer 126M (fine-tuned)Test perplexity12—Unverified
8GPT-Neo 1.3BTest perplexity11.46—Unverified
9Transformer 125MTest perplexity10.7—Unverified
10GPT-Neo 2.7BTest perplexity10.44—Unverified