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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 54515500 of 17610 papers

TitleStatusHype
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CALM: A Unified Conversational Agentic Language Model0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion0
Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples0
Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems0
Auditing Prompt Caching in Language Model APIsCode0
AI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions0
ETimeline: An Extensive Timeline Generation Dataset based on Large Language Model0
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy OptimizationCode0
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn MoreCode0
RomanLens: Latent Romanization and its role in Multilinguality in LLMs0
MetaSC: Test-Time Safety Specification Optimization for Language ModelsCode0
Rationalization Models for Text-to-SQL0
Structural Reformation of Large Language Model Neuron Encapsulation for Divergent Information Aggregation0
Recent Advances in Discrete Speech Tokens: A Review0
K-ON: Stacking Knowledge On the Head Layer of Large Language Model0
AppVLM: A Lightweight Vision Language Model for Online App Control0
Investigating Compositional Reasoning in Time Series Foundation Models0
Enabling Autoregressive Models to Fill In Masked Tokens0
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks0
Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails0
Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform0
HSI: Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language ModelsCode0
RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care0
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization0
μnit Scaling: Simple and Scalable FP8 LLM Training0
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education0
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging0
The Complexity of Learning Sparse Superposed Features with Feedback0
Learning the Language of NVMe Streams for Ransomware Detection0
Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and StructureCode0
RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation0
Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning0
Concept Navigation and Classification via Open-Source Large Language Model Processing0
Agentic Reasoning: Reasoning LLMs with Tools for the Deep ResearchCode0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions0
ChamaleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time ClustersCode0
Adaptive Semantic Prompt Caching with VectorQ0
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing0
Contextual Gradient Flow Modeling for Large Language Model Generalization in Multi-Scale Feature Spaces0
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation0
RWKV-UI: UI Understanding with Enhanced Perception and Reasoning0
Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation0
Verifiable Format Control for Large Language Model Generations0
Fine-grained Preference Optimization Improves Zero-shot Text-to-Speech0
Control Search Rankings, Control the World: What is a Good Search Engine?0
Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training0
Efficient Vision Language Model Fine-tuning for Text-based Person Anomaly Search0
HACK: Homomorphic Acceleration via Compression of the Key-Value Cache for Disaggregated LLM Inference0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference0
A Contemporary Survey of Large Language Model Assisted Program Analysis0
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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