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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 9601–9650 of 17610 papers

TitleStatusHype
Small Language Model Meets with Reinforced Vision Vocabulary—0
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels—0
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control—0
Keep Decoding Parallel with Effective Knowledge Distillation from Language Models to End-to-end Speech Recognisers—0
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning—0
West-of-N: Synthetic Preferences for Self-Improving Reward Models—0
CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing—0
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution DistortionCode0
Integration of Large Language Models in Control of EHD Pumps for Precise Color Synthesis—0
AttentionLego: An Open-Source Building Block For Spatially-Scalable Large Language Model Accelerator With Processing-In-Memory Technology—0
LLMRA: Multi-modal Large Language Model based Restoration Assistant—0
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition—0
Training microrobots to swim by a large language model—0
Using Large Language Model for End-to-End Chinese ASR and NER—0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis—0
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition—0
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content CounterfactuallyCode0
Accelerating Multilingual Language Model for Excessively Tokenized Languages—0
Critical Data Size of Language Models from a Grokking Perspective—0
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media—0
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion—0
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph CompletionCode0
PhotoBot: Reference-Guided Interactive Photography via Natural Language—0
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit AccessCode0
Lateral Phishing With Large Language Models: A Large Organization Comparative Study—0
Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling—0
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments—0
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?—0
Gradable ChatGPT Translation Evaluation—0
A Fast, Performant, Secure Distributed Training Framework For Large Language Model—0
Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation—0
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study—0
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints—0
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images—0
MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World—0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions—0
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination—0
Anchor function: a type of benchmark functions for studying language models—0
Into the crossfire: evaluating the use of a language model to crowdsource gun violence reportsCode0
Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions—0
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization—0
A character-based steganography using masked language modelingCode0
Graph database while computationally efficient filters out quickly the ESG integrated equities in investment management—0
Activations and Gradients Compression for Model-Parallel TrainingCode0
Editing Arbitrary Propositions in LLMs without Subject Labels—0
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language ModelsCode0
Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance—0
On the importance of Data Scale in Pretraining Arabic Language Models—0
Quantum Transfer Learning for Acceptability Judgements—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