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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

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Showing 8351–8400 of 17610 papers

TitleStatusHype
Towards Modular LLMs by Building and Reusing a Library of LoRAs—0
The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving—0
Transformer based neural networks for emotion recognition in conversationsCode0
Surgical Feature-Space Decomposition of LLMs: Why, When and How?Code0
The Future of Large Language Model Pre-training is Federated—0
SignLLM: Sign Language Production Large Language Models—0
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities—0
Multilingual Substitution-based Word Sense Induction—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
Watermarking Language Models for Many Adaptive Users—0
CELA: Cost-Efficient Language Model Alignment for CTR PredictionCode0
AudioSetMix: Enhancing Audio-Language Datasets with LLM-Assisted Augmentations—0
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving—0
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain—0
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios—0
Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model—0
Generative Design through Quality-Diversity Data Synthesis and Language Models—0
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection—0
NIFTY Financial News Headlines Dataset—0
Keep It Private: Unsupervised Privatization of Online TextCode0
When Large Language Model Meets Optimization—0
Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy—0
Word Alignment as Preference for Machine Translation—0
HAAP: Vision-context Hierarchical Attention Autoregressive with Adaptive Permutation for Scene Text Recognition—0
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)—0
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing—0
New Textual Corpora for Serbian Language Modeling—0
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models—0
Thinking Tokens for Language Modeling—0
Understanding the performance gap between online and offline alignment algorithms—0
Self-Distillation Improves DNA Sequence InferenceCode0
SpeechVerse: A Large-scale Generalizable Audio Language Model—0
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach—0
Automated Repair of AI Code with Large Language Models and Formal Verification—0
Assisted Debate Builder with Large Language Models—0
Contextual Emotion Recognition using Large Vision Language Models—0
The Curious Case of Class Accuracy Imbalance in LLMs: Post-hoc Debiasing via Nonlinear Integer Programming—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
A Generalist Learner for Multifaceted Medical Image Interpretation—0
Age-Dependent Analysis and Stochastic Generation of Child-Directed SpeechCode0
ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source—0
Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning—0
Silver-Tongued and Sundry: Exploring Intersectional Pronouns with ChatGPT—0
Many-Shot Regurgitation (MSR) Prompting—0
UCCIX: Irish-eXcellence Large Language Model—0
News Recommendation with Category Description by a Large Language ModelCode0
Layout Generation Agents with Large Language ModelsCode0
Understanding Sarcoidosis Using Large Language Models and Social Media Data—0
Counting Clinical Trials: New Evidence on Pharmaceutical Sector Productivity—0
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization—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