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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

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Showing 7001–7050 of 17610 papers

TitleStatusHype
Sentiment-enhanced Graph-based Sarcasm Explanation in DialogueCode0
Harnessing the Plug-and-Play Controller by Prompting—0
Positive concave deep equilibrium modelsCode0
Retrieve to Explain: Evidence-driven Predictions with Language ModelsCode0
The Use of a Large Language Model for Cyberbullying Detection—0
Measuring Implicit Bias in Explicitly Unbiased Large Language ModelsCode1
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language ModelsCode0
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning—0
MobileVLM V2: Faster and Stronger Baseline for Vision Language ModelCode5
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning TasksCode3
Empowering Language Models with Active Inquiry for Deeper Understanding—0
QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model—0
A quantitative analysis of knowledge-learning preferences in large language models in molecular scienceCode1
Adversarial Text Purification: A Large Language Model Approach for Defense—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
TexShape: Information Theoretic Sentence Embedding for Language ModelsCode0
Arabic Synonym BERT-based Adversarial Examples for Text ClassificationCode0
Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration—0
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation—0
Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks—0
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health InterviewsCode0
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts—0
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable SkillsCode1
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene ParsingCode0
Large Language Model Distilling Medication Recommendation ModelCode1
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate—0
Nevermind: Instruction Override and Moderation in Large Language Models—0
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS—0
Rethinking Optimization and Architecture for Tiny Language ModelsCode2
Large Language Model for Table Processing: A Survey—0
AutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode3
GIRT-Model: Automated Generation of Issue Report TemplatesCode0
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
Generalizable Entity Grounding via Assistance of Large Language Model—0
Jailbreaking Attack against Multimodal Large Language ModelCode2
The Developmental Landscape of In-Context Learning—0
NetLLM: Adapting Large Language Models for Networking—0
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
Can Large Language Models Learn Independent Causal Mechanisms?Code0
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback—0
DeLLMa: Decision Making Under Uncertainty with Large Language Models—0
Multi-modal Causal Structure Learning and Root Cause Analysis—0
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity—0
GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language ModelCode0
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language ModelCode2
Selecting Large Language Model to Fine-tune via Rectified Scaling LawCode0
The Landscape and Challenges of HPC Research and LLMs—0
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models—0
GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events—0
Image Fusion via Vision-Language ModelCode4
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All datasetsWikiText-103Penn Treebank (Word Level)enwik8The PileWikiText-2LAMBADAOne Billion WordText8Penn Treebank (Character Level)Hutter PrizeOpenWebTextSALMon

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Decay RNNValidation perplexity76.67—Unverified
2GRUValidation perplexity53.78—Unverified
3LSTMValidation perplexity52.73—Unverified
4LSTMTest perplexity48.7—Unverified
5Temporal CNNTest perplexity45.2—Unverified
6TCNTest perplexity45.19—Unverified
7GCNN-8Test perplexity44.9—Unverified
8Neural cache model (size = 100)Test perplexity44.8—Unverified
9Neural cache model (size = 2,000)Test perplexity40.8—Unverified
10GPT-2 SmallTest perplexity37.5—Unverified
#ModelMetricClaimedVerifiedStatus
1TCNTest perplexity108.47—Unverified
2Seq-U-NetTest perplexity107.95—Unverified
3GRU (Bai et al., 2018)Test perplexity92.48—Unverified
4R-TransformerTest perplexity84.38—Unverified
5Zaremba et al. (2014) - LSTM (medium)Test perplexity82.7—Unverified
6Gal & Ghahramani (2016) - Variational LSTM (medium)Test perplexity79.7—Unverified
7LSTM (Bai et al., 2018)Test perplexity78.93—Unverified
8Zaremba et al. (2014) - LSTM (large)Test perplexity78.4—Unverified
9Gal & Ghahramani (2016) - Variational LSTM (large)Test perplexity75.2—Unverified
10Inan et al. (2016) - Variational RHNTest perplexity66—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM (7 layers)Bit per Character (BPC)1.67—Unverified
2HypernetworksBit per Character (BPC)1.34—Unverified
3SHA-LSTM (4 layers, h=1024, no attention head)Bit per Character (BPC)1.33—Unverified
4LN HM-LSTMBit per Character (BPC)1.32—Unverified
5ByteNetBit per Character (BPC)1.31—Unverified
6Recurrent Highway NetworksBit per Character (BPC)1.27—Unverified
7Large FS-LSTM-4Bit per Character (BPC)1.25—Unverified
8Large mLSTMBit per Character (BPC)1.24—Unverified
9AWD-LSTM (3 layers)Bit per Character (BPC)1.23—Unverified
10Cluster-Former (#C=512)Bit per Character (BPC)1.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Smaller Transformer 126M (pre-trained)Test perplexity33—Unverified
2OPT 125MTest perplexity32.26—Unverified
3Larger Transformer 771M (pre-trained)Test perplexity28.1—Unverified
4OPT 1.3BTest perplexity19.55—Unverified
5GPT-Neo 125MTest perplexity17.83—Unverified
6OPT 2.7BTest perplexity17.81—Unverified
7Smaller Transformer 126M (fine-tuned)Test perplexity12—Unverified
8GPT-Neo 1.3BTest perplexity11.46—Unverified
9Transformer 125MTest perplexity10.7—Unverified
10GPT-Neo 2.7BTest perplexity10.44—Unverified