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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 71517200 of 17610 papers

TitleStatusHype
From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education0
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging0
OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion ParametersCode0
OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography0
Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer0
Speaker Tagging Correction With Non-Autoregressive Language Models0
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering0
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach0
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning0
Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based ApproachCode0
AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene UnderstandingCode0
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage0
InkubaLM: A small language model for low-resource African languages0
Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change DomainCode0
Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction0
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic0
ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility0
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving0
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative ModelsCode0
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models0
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation WatermarksCode0
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition0
Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems0
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval0
Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models0
Plausible-Parrots @ MSP2023: Enhancing Semantic Plausibility Modeling using Entity and Event KnowledgeCode0
Towards Logically Sound Natural Language Reasoning with Logic-Enhanced Language Model AgentsCode0
LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models0
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input0
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization0
Drop the beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation0
How transformers learn structured data: insights from hierarchical filteringCode0
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline0
Awes, Laws, and Flaws From Today's LLM Research0
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark0
Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wild0
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis0
Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probingCode0
Unifying Multitrack Music Arrangement via Reconstruction Fine-Tuning and Efficient Tokenization0
CHARTOM: A Visual Theory-of-Mind Benchmark for Multimodal Large Language ModelsCode0
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated TextCode0
Investigating Language-Specific Calibration For Pruning Multilingual Large Language Models0
Large Language Model for Patent Concept Generation0
Question answering system of bridge design specification based on large language modelCode0
Social perception of faces in a vision-language modelCode0
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning0
Predictability and Causality in Spanish and English Natural Language Generation0
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction0
Show:102550
← PrevPage 144 of 353Next →

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