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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 15511600 of 17610 papers

TitleStatusHype
Language Models as Causal Effect GeneratorsCode1
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language ModelsCode1
ITER: Iterative Transformer-based Entity Recognition and Relation ExtractionCode1
Aioli: A Unified Optimization Framework for Language Model Data MixingCode1
AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein EngineeringCode1
DELIFT: Data Efficient Language model Instruction Fine TuningCode1
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity DatasetCode1
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for NetworkCode1
Training Compute-Optimal Protein Language ModelsCode1
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language ModelsCode1
Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease KnowledgeCode1
GraphXForm: Graph transformer for computer-aided molecular designCode1
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language ModelsCode1
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility PredictionCode1
LLaMo: Large Language Model-based Molecular Graph AssistantCode1
Interpretable Language Modeling via Induction-head Ngram ModelsCode1
Real-Time Personalization for LLM-based Recommendation with Customized In-Context LearningCode1
Online Intrinsic Rewards for Decision Making Agents from Large Language Model FeedbackCode1
f-PO: Generalizing Preference Optimization with f-divergence MinimizationCode1
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt TypesCode1
Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection LayersCode1
LLMCBench: Benchmarking Large Language Model Compression for Efficient DeploymentCode1
TrajAgent: An Agent Framework for Unified Trajectory ModellingCode1
Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic SupervisionCode1
LOGO -- Long cOntext aliGnment via efficient preference OptimizationCode1
GCoder: Improving Large Language Model for Generalized Graph Problem SolvingCode1
Cross-model Control: Improving Multiple Large Language Models in One-time TrainingCode1
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent CollaborationCode1
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward PassesCode1
Scalable Influence and Fact Tracing for Large Language Model PretrainingCode1
Non-myopic Generation of Language Models for Reasoning and PlanningCode1
Automated Spinal MRI Labelling from Reports Using a Large Language ModelCode1
Building A Coding Assistant via the Retrieval-Augmented Language ModelCode1
Residual vector quantization for KV cache compression in large language modelCode1
A Realistic Threat Model for Large Language Model JailbreaksCode1
SeisLM: a Foundation Model for Seismic WaveformsCode1
M-RewardBench: Evaluating Reward Models in Multilingual SettingsCode1
Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningCode1
MomentumSMoE: Integrating Momentum into Sparse Mixture of ExpertsCode1
Starbucks: Improved Training for 2D Matryoshka EmbeddingsCode1
MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task AutomationCode1
MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsCode1
FIRE: Fact-checking with Iterative Retrieval and VerificationCode1
VividMed: Vision Language Model with Versatile Visual Grounding for MedicineCode1
CREAM: Consistency Regularized Self-Rewarding Language ModelsCode1
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World ClaimsCode1
DISP-LLM: Dimension-Independent Structural Pruning for Large Language ModelsCode1
FVEval: Understanding Language Model Capabilities in Formal Verification of Digital HardwareCode1
TopoLM: brain-like spatio-functional organization in a topographic language modelCode1
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited ResponsesCode1
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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