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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 13511400 of 17610 papers

TitleStatusHype
Iterative Value Function Optimization for Guided Decoding0
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation0
Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between ActionsCode0
Generator-Assistant Stepwise Rollback Framework for Large Language Model AgentCode0
Language Models can Self-Improve at State-Value Estimation for Better SearchCode0
ATLaS: Agent Tuning via Learning Critical Steps0
Optimizing open-domain question answering with graph-based retrieval augmented generation0
InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language ModelCode1
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?Code1
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language ModelsCode3
RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises0
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical EnvironmentsCode2
Superscopes: Amplifying Internal Feature Representations for Language Model InterpretationCode1
Adaptively profiling models with task elicitation0
Forgetting Transformer: Softmax Attention with a Forget GateCode2
Hebbian learning the local structure of language0
KurTail : Kurtosis-based LLM Quantization0
LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment ReportsCode0
ReaderLM-v2: Small Language Model for HTML to Markdown and JSON0
Learning to Generate Long-term Future Narrations Describing Activities of Daily Living0
Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh0
WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models0
Syntactic Learnability of Echo State Neural Language Models at Scale0
Can (A)I Change Your Mind?Code0
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients0
Jailbreaking Safeguarded Text-to-Image Models via Large Language Models0
OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFDCode2
Transformer Meets Twicing: Harnessing Unattended Residual InformationCode0
Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation0
FunBench: Benchmarking Fundus Reading Skills of MLLMs0
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language ModelCode0
Enhancing Monocular 3D Scene Completion with Diffusion ModelCode1
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering0
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis0
PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery0
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less ReasonableCode1
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy0
Language Model Mapping in Multimodal Music Learning: A Grand Challenge Proposal0
Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs0
Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions0
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy0
LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech EnhancementCode2
Towards General Visual-Linguistic Face Forgery Detection(V2)Code1
FANformer: Improving Large Language Models Through Effective Periodicity ModelingCode1
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization0
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation0
Llamarine: Open-source Maritime Industry-specific Large Language Model0
Chronologically Consistent Large Language Models0
Transforming Tuberculosis Care: Optimizing Large Language Models For Enhanced Clinician-Patient Communication0
Protein Structure Tokenization: Benchmarking and New RecipeCode1
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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