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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 22012250 of 17610 papers

TitleStatusHype
Exploiting Novel GPT-4 APIsCode1
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksCode1
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
ASSISTGUI: Task-Oriented Desktop Graphical User Interface AutomationCode1
Time is Encoded in the Weights of Finetuned Language ModelsCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-trainingCode1
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test ConstructionCode1
Sparse is Enough in Fine-tuning Pre-trained Large Language ModelsCode1
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented GenerationCode1
Cascade Speculative Drafting for Even Faster LLM InferenceCode1
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender SystemsCode1
A Unified Framework for Multi-Domain CTR Prediction via Large Language ModelsCode1
RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language ModelsCode1
Catwalk: A Unified Language Model Evaluation Framework for Many DatasetsCode1
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document GenerationCode1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgentCode1
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and GenerationCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model ReasoningCode1
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward HackingCode1
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language modelCode1
Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4Code1
SwitchHead: Accelerating Transformers with Mixture-of-Experts AttentionCode1
ViLA: Efficient Video-Language Alignment for Video Question AnsweringCode1
On Diversified Preferences of Large Language Model AlignmentCode1
Hallucination Augmented Contrastive Learning for Multimodal Large Language ModelCode1
READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language ModelingCode1
Progressive Multi-Modality Learning for Inverse Protein FoldingCode1
Gated Linear Attention Transformers with Hardware-Efficient TrainingCode1
Negative Pre-aware for Noisy Cross-modal MatchingCode1
History Matters: Temporal Knowledge Editing in Large Language ModelCode1
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory DataCode1
DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMsCode1
TypeFly: Flying Drones with Large Language ModelCode1
SparQ Attention: Bandwidth-Efficient LLM InferenceCode1
Fine-Tuning InstructPix2Pix for Advanced Image ColorizationCode1
PartDistill: 3D Shape Part Segmentation by Vision-Language Model DistillationCode1
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model ProgramsCode1
Auto-Vocabulary Semantic SegmentationCode1
On the Learnability of Watermarks for Language ModelsCode1
PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis DiagnosisCode1
Compressed Context Memory For Online Language Model InteractionCode1
Creative Agents: Empowering Agents with Imagination for Creative TasksCode1
LLaRA: Large Language-Recommendation AssistantCode1
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense RetrievalCode1
Describing Differences in Image Sets with Natural LanguageCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Efficient Online Data Mixing For Language Model Pre-TrainingCode1
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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