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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 72017250 of 17610 papers

TitleStatusHype
Embedding Attack Project (Work Report)0
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion0
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?Code0
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data0
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language ModelsCode1
MLLMReID: Multimodal Large Language Model-based Person Re-identification0
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment0
LPNL: Scalable Link Prediction with Large Language Models0
How well can a large language model explain business processes as perceived by users?Code1
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study0
Training-Free Action Recognition and Goal Inference with Dynamic Frame Selection0
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control0
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels0
Generating Zero-shot Abstractive Explanations for Rumour VerificationCode0
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?0
Assessing and Understanding Creativity in Large Language Models0
Eloquent: A More Robust Transmission Scheme for LLM Token Streaming0
ChatGraph: Chat with Your Graphs0
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-ExplanationsCode1
Can Large Language Models Write Parallel Code?Code1
In-Context Language Learning: Architectures and AlgorithmsCode2
DsDm: Model-Aware Dataset Selection with DatamodelsCode2
XAI for All: Can Large Language Models Simplify Explainable AI?0
Small Language Model Meets with Reinforced Vision Vocabulary0
CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing0
Keep Decoding Parallel with Effective Knowledge Distillation from Language Models to End-to-end Speech Recognisers0
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning0
West-of-N: Synthetic Preferences for Self-Improving Reward Models0
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray InterpretationCode3
Large Language Model based Multi-Agents: A Survey of Progress and ChallengesCode5
Training microrobots to swim by a large language model0
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition0
LLMRA: Multi-modal Large Language Model based Restoration Assistant0
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution DistortionCode0
Using Large Language Model for End-to-End Chinese ASR and NER0
With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text GenerationCode2
AttentionLego: An Open-Source Building Block For Spatially-Scalable Large Language Model Accelerator With Processing-In-Memory Technology0
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text PromptsCode1
Integration of Large Language Models in Control of EHD Pumps for Precise Color Synthesis0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph CompletionCode0
The Radiation Oncology NLP DatabaseCode1
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion0
Critical Data Size of Language Models from a Grokking Perspective0
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media0
MLLM-Tool: A Multimodal Large Language Model For Tool Agent LearningCode2
FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis0
Accelerating Multilingual Language Model for Excessively Tokenized Languages0
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image SequencesCode1
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content CounterfactuallyCode0
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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