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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 19011950 of 17610 papers

TitleStatusHype
Evolutionary Large Language Model for Automated Feature TransformationCode1
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearchCode1
Sparse Matrix in Large Language Model Fine-tuningCode1
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign UsersCode1
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order OptimizationCode1
Agentic Skill DiscoveryCode1
From Text to Pixel: Advancing Long-Context Understanding in MLLMsCode1
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model InferenceCode1
PerSense: Personalized Instance Segmentation in Dense ImagesCode1
Annotation-Efficient Preference Optimization for Language Model AlignmentCode1
RecGPT: Generative Pre-training for Text-based RecommendationCode1
Unveiling and Manipulating Prompt Influence in Large Language ModelsCode1
Token-wise Influential Training Data Retrieval for Large Language ModelsCode1
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned ProportionsCode1
RDRec: Rationale Distillation for LLM-based RecommendationCode1
SynthesizRR: Generating Diverse Datasets with Retrieval AugmentationCode1
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language ModelsCode1
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
Spectral Editing of Activations for Large Language Model AlignmentCode1
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS ScoringCode1
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept LinkingCode1
Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-RankingCode1
Differentiable Model Scaling using Differentiable TopkCode1
Value Augmented Sampling for Language Model Alignment and PersonalizationCode1
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model BiasCode1
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial ApplicationCode1
Mozart's Touch: A Lightweight Multi-modal Music Generation Framework Based on Pre-Trained Large ModelsCode1
EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROADCode1
CoS: Enhancing Personalization and Mitigating Bias with Context SteeringCode1
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsCode1
Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3Code1
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language ModelCode1
GUing: A Mobile GUI Search Engine using a Vision-Language ModelCode1
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table DomainsCode1
Markovian Transformers for Informative Language ModelingCode1
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?Code1
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language ModelCode1
Ranked List Truncation for Large Language Model-based Re-RankingCode1
Probabilistic Inference in Language Models via Twisted Sequential Monte CarloCode1
Step Differences in Instructional VideoCode1
Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real DocumentsCode1
Nyonic Technical ReportCode1
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language TechnologiesCode1
Multi-Head Mixture-of-ExpertsCode1
BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical AnalysisCode1
Aligning LLM Agents by Learning Latent Preference from User EditsCode1
Setting up the Data Printer with Improved English to Ukrainian Machine TranslationCode1
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction AlignmentCode1
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language ModelsCode1
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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