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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 9401–9450 of 17610 papers

TitleStatusHype
ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training—0
Lightweight Large Language Model for Medication Enquiry: Med-Pal—0
Lightweight Neural App Control—0
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model—0
Like a bilingual baby: The advantage of visually grounding a bilingual language model—0
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models—0
LiLiuM: eBay's Large Language Models for e-commerce—0
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning—0
LiMe: a Latin Corpus of Late Medieval Criminal Sentences—0
Limits of Detecting Text Generated by Large-Scale Language Models—0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013—0
LIMSI@IWSLT’16: MT Track—0
LIMSI @ WMT13—0
LIMSI @ WMT'14 Medical Translation Task—0
LIMSI@WMT'17—0
Linear Attention via Orthogonal Memory—0
Linearizing Transformer with Key-Value Memory—0
Generation of 3D Molecules in Pockets via Language Model—0
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines—0
LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization—0
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices—0
Lingua Manga: A Generic Large Language Model Centric System for Data Curation—0
Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clauses—0
Linguistically Inspired Language Model Augmentation for MT—0
Linguistic Analysis Processing Line for Bulgarian—0
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition—0
Linguistic Entity Masking to Improve Cross-Lingual Representation of Multilingual Language Models for Low-Resource Languages—0
Linguistic Knowledge and Transferability of Contextual Representations—0
Linguistic Profiling of a Neural Language Model—0
Linguistic Regularities in Continuous Space Word Representations—0
Linguistic Structured Sparsity in Text Categorization—0
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging—0
Link Prediction via Graph Attention Network—0
LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs—0
[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs—0
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library—0
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR—0
Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience—0
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions—0
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments—0
LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef Application—0
LittleBird: Efficient Faster & Longer Transformer for Question Answering—0
LIUM's SMT Machine Translation Systems for WMT 2012—0
LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale—0
Lizard: An Efficient Linearization Framework for Large Language Models—0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning—0
Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh—0
LLaMA based Punctuation Restoration With Forward Pass Only Decoding—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