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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 54015450 of 17610 papers

TitleStatusHype
Lessons from the Trenches on Reproducible Evaluation of Language Models0
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation0
From Text to Pixel: Advancing Long-Context Understanding in MLLMsCode1
AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability0
Not All Language Model Features Are LinearCode2
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System0
Worldwide Federated Training of Language Models0
PuzzleAvatar: Assembling 3D Avatars from Personal AlbumsCode3
Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
Fisher Flow Matching for Generative Modeling over Discrete Data0
Calibrated Self-Rewarding Vision Language ModelsCode2
Large language models can be zero-shot anomaly detectors for time series?Code2
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports0
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model InferenceCode1
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study0
Designing A Sustainable Marine Debris Clean-up Framework without Human LabelsCode0
KU-DMIS at EHRSQL 2024:Generating SQL query via question templatization in EHR0
PerSense: Personalized Instance Segmentation in Dense ImagesCode1
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
Contextualized Automatic Speech Recognition with Dynamic Vocabulary0
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training OnwardsCode0
ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing0
Model Editing as a Robust and Denoised variant of DPO: A Case Study on ToxicityCode2
Thermodynamic Natural Gradient Descent0
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and DemonstrationsCode0
LOGIN: A Large Language Model Consulted Graph Neural Network Training FrameworkCode0
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesCode2
AI-Assisted Assessment of Coding Practices in Modern Code Review0
Slaves to the Law of Large Numbers: An Asymptotic Equipartition Property for Perplexity in Generative Language Models0
Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language ModelsCode0
Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for RussianCode2
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenCode2
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering0
Evaluating Large Language Models with Human Feedback: Establishing a Swedish BenchmarkCode0
Annotation-Efficient Preference Optimization for Language Model AlignmentCode1
HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model0
Towards Retrieval-Augmented Architectures for Image Captioning0
Exploration of Masked and Causal Language Modelling for Text Generation0
Context-Enhanced Video Moment Retrieval with Large Language Models0
RecGPT: Generative Pre-training for Text-based RecommendationCode1
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
Quantifying Semantic Emergence in Language ModelsCode0
EmoEdit: Evoking Emotions through Image Manipulation0
Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary JudgmentCode0
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual RepresentationCode0
Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label SemanticCode0
Can Github issues be solved with Tree Of Thoughts?Code0
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment0
A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers0
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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