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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 14501–14550 of 17610 papers

TitleStatusHype
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference—0
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process—0
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation—0
Large Language Model Aided QoS Prediction for Service Recommendation—0
BOTS-LM: Training Large Language Models for Setswana—0
SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models—0
Infusing Environmental Captions for Long-Form Video Language Grounding—0
Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph—0
Command-line Obfuscation Detection using Small Language Models—0
Development of REGAI: Rubric Enabled Generative Artificial Intelligence—0
Wiping out the limitations of Large Language Models -- A Taxonomy for Retrieval Augmented Generation—0
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning—0
Body of Her: A Preliminary Study on End-to-End Humanoid Agent—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Analysis of Argument Structure Constructions in a Deep Recurrent Language Model—0
Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch—0
Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas—0
Probing Context Localization of Polysemous Words in Pre-trained Language Model Sub-Layers—0
Data-centric NLP Backdoor Defense from the Lens of Memorization—0
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization—0
from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors—0
Language Model Mapping in Multimodal Music Learning: A Grand Challenge Proposal—0
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy—0
PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery—0
ReaderLM-v2: Small Language Model for HTML to Markdown and JSON—0
UDDETTS: Unifying Discrete and Dimensional Emotions for Controllable Emotional Text-to-Speech—0
Cross-Image Contrastive Decoding: Precise, Lossless Suppression of Language Priors in Large Vision-Language Models—0
Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances—0
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating—0
Maximizing Asynchronicity in Event-based Neural Networks—0
Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese—0
Large Language Model Use Impact Locus of Control—0
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model—0
TaxAgent: How Large Language Model Designs Fiscal Policy—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Towards Efficient Speech-Text Jointly Decoding within One Speech Language Model—0
Voice Impression Control in Zero-Shot TTS—0
Scaling Laws of Motion Forecasting and Planning -- A Technical Report—0
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models—0
CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models—0
WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis—0
Disclosure Audits for LLM Agents—0
Prompt-Guided Latent Diffusion with Predictive Class Conditioning for 3D Prostate MRI Generation—0
LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation—0
Discrete Audio Tokens: More Than a Survey!—0
DanceChat: Large Language Model-Guided Music-to-Dance Generation—0
Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework—0
Tesseract: Parallelize the Tensor Parallelism Efficiently—0
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models—0
3d human motion generation from the text via gesture action classification and the autoregressive model—0
Show:102550
← PrevPage 291 of 353Next →
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