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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 67516800 of 17610 papers

TitleStatusHype
An Autonomous Large Language Model Agent for Chemical Literature Data Mining0
Understanding the effects of language-specific class imbalance in multilingual fine-tuningCode0
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space0
Slot-VLM: SlowFast Slots for Video-Language Modeling0
Instruction-tuned Language Models are Better Knowledge LearnersCode0
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence0
SoMeLVLM: A Large Vision Language Model for Social Media Processing0
A Touch, Vision, and Language Dataset for Multimodal AlignmentCode2
MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object DiffusionCode1
Towards audio language modeling - an overview0
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even PerformanceCode0
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy0
Phonotactic Complexity across DialectsCode0
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box IdentificationCode1
The Hidden Space of Transformer Language AdaptersCode0
ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicCode1
GlórIA - A Generative and Open Large Language Model for Portuguese0
Large Language Model-based Human-Agent Collaboration for Complex Task SolvingCode1
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trickCode0
Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&ACode0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena0
Soft Self-Consistency Improves Language Model AgentsCode1
Heterogeneous Graph Reasoning for Fact Checking over Texts and TablesCode1
Text-Guided Molecule Generation with Diffusion Language ModelCode1
Large Language Model for Mental Health: A Systematic Review0
Purifying Large Language Models by Ensembling a Small Language Model0
Structure Guided Large Language Model for SQL Generation0
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence0
Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation0
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data SelectionCode1
Induced Model Matching: How Restricted Models Can Help Larger OnesCode0
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction0
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic ForgettingCode0
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term ConversationsCode1
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations0
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search0
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!Code1
Can LLMs Compute with Reasons?0
A novel molecule generative model of VAE combined with Transformer for unseen structure generation0
Language Model Adaptation to Specialized Domains through Selective Masking based on Genre and Topical CharacteristicsCode0
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt DistillationCode0
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge AugmentationCode1
Uncovering Latent Human Wellbeing in Language Model Embeddings0
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct DecodingCode1
CodeArt: Better Code Models by Attention Regularization When Symbols Are LackingCode1
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks0
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One0
Transformer-based Causal Language Models Perform Clustering0
DiLA: Enhancing LLM Tool Learning with Differential Logic Layer0
AnyGPT: Unified Multimodal LLM with Discrete Sequence ModelingCode4
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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