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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 85018550 of 17610 papers

TitleStatusHype
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric ApproachCode1
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models0
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency0
Dobby: A Conversational Service Robot Driven by GPT-40
AutoAD II: The Sequel -- Who, When, and What in Movie Audio Description0
Get the gist? Using large language models for few-shot decontextualization0
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model0
We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responsesCode0
Transformers and Large Language Models for Chemistry and Drug Discovery0
The Importance of Prompt Tuning for Automated Neuron Explanations0
Rethinking Memory and Communication Cost for Efficient Large Language Model Training0
OptiMUS: Optimization Modeling Using MIP Solvers and large language modelsCode2
Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pre-training0
Estimating Numbers without Regression0
Factual and Personalized Recommendations using Language Models and Reinforcement Learning0
CCAE: A Corpus of Chinese-based Asian Englishes0
GraphLLM: Boosting Graph Reasoning Ability of Large Language ModelCode1
A Meta-Learning Perspective on Transformers for Causal Language Modeling0
Parrot Mind: Towards Explaining the Complex Task Reasoning of Pretrained Large Language Models with Template-Content Structure0
Guiding Language Model Reasoning with Planning Tokens0
Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media DataCode0
Transformer Fusion with Optimal TransportCode1
NEFTune: Noisy Embeddings Improve Instruction FinetuningCode6
The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students0
Exploring the Maze of Multilingual Modeling0
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model AttributionCode0
SALMON: Self-Alignment with Instructable Reward ModelsCode1
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting0
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language ModelsCode1
Language Model Beats Diffusion -- Tokenizer is Key to Visual GenerationCode4
Measuring reasoning capabilities of ChatGPT0
Exploring the Usage of Chinese Pinyin in Pretraining0
InstructDET: Diversifying Referring Object Detection with Generalized InstructionsCode1
Distantly-Supervised Joint Extraction with Noise-Robust LearningCode0
Generative Spoken Language Model based on continuous word-sized audio tokens0
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data0
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection0
BRAINTEASER: Lateral Thinking Puzzles for Large Language ModelsCode1
Optimizing Large Language Models to Expedite the Development of Smart Contracts0
Synslator: An Interactive Machine Translation Tool with Online Learning0
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback0
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) ChallengeCode1
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling0
Zero-Shot Detection of Machine-Generated CodesCode0
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language ModelCode1
EMO: Earth Mover Distance Optimization for Auto-Regressive Language ModelingCode1
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models0
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTCode2
Question-focused Summarization by Decomposing Articles into Facts and Opinions and Retrieving Entities0
Tree-GPT: Modular Large Language Model Expert System for Forest Remote Sensing Image Understanding and Interactive Analysis0
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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