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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 84518500 of 17610 papers

TitleStatusHype
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval0
Federated Reinforcement Learning with Constraint Heterogeneity0
QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessment0
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing0
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G0
Oracle-Checker Scheme for Evaluating a Generative Large Language Model0
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training0
TED: Accelerate Model Training by Internal Generalization0
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images0
Visual grounding for desktop graphical user interfaces0
A self-supervised text-vision framework for automated brain abnormality detection0
High Order Reasoning for Time Critical Recommendation in Evidence-based Medicine0
Exploring prompts to elicit memorization in masked language model-based named entity recognition0
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs0
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces0
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation0
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-TrainingCode0
Relations Prediction for Knowledge Graph Completion using Large Language Models0
Sub-goal Distillation: A Method to Improve Small Language AgentsCode0
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents0
PhilHumans: Benchmarking Machine Learning for Personal Health0
Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling0
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data0
Exploring Extreme Quantization in Spiking Language Models0
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation0
Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation0
CRCL at SemEval-2024 Task 2: Simple prompt optimizationsCode0
Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct FeaturesCode0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System0
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelCode0
Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL0
LLM-AD: Large Language Model based Audio Description System0
Low-resource speech recognition and dialect identification of Irish in a multi-task framework0
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks0
Automating the Analysis of Public Saliency and Attitudes towards Biodiversity from Digital Media0
Context-Aware Clustering using Large Language Models0
GAIA: A General AI Assistant for Intelligent Accelerator Operations0
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023Code0
Few Shot Class Incremental Learning using Vision-Language models0
Controllable Text Generation in the Instruction-Tuning Era0
Extracting chemical food safety hazards from the scientific literature automatically using large language models0
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time0
A Careful Examination of Large Language Model Performance on Grade School Arithmetic0
Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models0
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions0
Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning0
ChatGPT in Data Visualization Education: A Student Perspective0
Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'Code0
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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