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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10801–10850 of 17610 papers

TitleStatusHype
Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks—0
Long-Term Ad Memorability: Understanding & Generating Memorable Ads—0
BatchPrompt: Accomplish more with lessCode0
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking—0
Efficient RLHF: Reducing the Memory Usage of PPO—0
GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice—0
Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models—0
Enhancing Subtask Performance of Multi-modal Large Language Model—0
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills—0
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation—0
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model—0
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting—0
Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection—0
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model—0
ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding—0
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness—0
Quantifying and Analyzing Entity-level Memorization in Large Language Models—0
LAMBO: Large AI Model Empowered Edge Intelligence—0
Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills—0
LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks—0
Radiology-Llama2: Best-in-Class Large Language Model for Radiology—0
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models—0
Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-ProfessionalsCode0
FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions—0
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and StabilityCode0
The Responsible Development of Automated Student Feedback with Generative AI—0
FIRE: Food Image to REcipe generationCode0
FonMTL: Towards Multitask Learning for the Fon LanguageCode0
RecMind: Large Language Model Powered Agent For Recommendation—0
Reinforcement Learning for Generative AI: A Survey—0
Solving Math Word Problem with Problem Type ClassificationCode0
Planning with Logical Graph-based Language Model for Instruction Generation—0
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task PlanningCode0
1.5 million materials narratives generated by chatbots—0
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-DiversityCode0
Decoupled Structure for Improved Adaptability of End-to-End Models—0
An Ensemble Approach to Personalized Real Time Predictive Writing for Experts—0
EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression—0
Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages—0
Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AI—0
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning—0
An Information-Theoretic Approach for Detecting Edits in AI-Generated Text—0
Rational Decision-Making Agent with Internalized Utility Judgment—0
HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasksCode0
Financial News Analytics Using Fine-Tuned Llama 2 GPT Model—0
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers—0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
How to Protect Copyright Data in Optimization of Large Language Models?Code0
Audio Generation with Multiple Conditional Diffusion Model—0
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track—0
Show:102550
← PrevPage 217 of 353Next →
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