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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 71017150 of 17610 papers

TitleStatusHype
PAP-REC: Personalized Automatic Prompt for Recommendation Language ModelCode1
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source SoftwareCode1
ConSmax: Hardware-Friendly Alternative Softmax with Learnable ParametersCode1
[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs0
Comparing Template-based and Template-free Language Model ProbingCode0
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity EnhancementCode2
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?0
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning AttacksCode0
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuningCode0
Enhancing Large Language Model with Decomposed Reasoning for Emotion Cause Pair Extraction0
EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio CaptioningCode2
Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance0
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining ResearchCode5
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization0
SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition0
Customizing Language Model Responses with Contrastive In-Context Learning0
Adapting Amidst Degradation: Cross Domain Li-ion Battery Health Estimation via Physics-Guided Test-Time Training0
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion TokensCode2
EvoMerge: Neuroevolution for Large Language Models0
Arrows of Time for Large Language ModelsCode0
Towards Visual Syntactical Understanding0
H2O-Danube-1.8B Technical Report0
Gradient-Based Language Model Red Teaming0
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
YOLO-World: Real-Time Open-Vocabulary Object DetectionCode9
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment0
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language ModelsCode2
Engineering A Large Language Model From Scratch0
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainCode2
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble0
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues0
C4Q: A Chatbot for Quantum0
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties0
Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending0
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning0
A Linguistic Comparison between Human and ChatGPT-Generated ConversationsCode0
FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas WarCode0
"You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations0
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants0
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling0
DressCode: Autoregressively Sewing and Generating Garments from Text Guidance0
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation0
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model0
LLaMandement: Large Language Models for Summarization of French Legislative Proposals0
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD GeneralizationCode1
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering0
Tradeoffs Between Alignment and Helpfulness in Language Models with Representation EngineeringCode0
Routers in Vision Mixture of Experts: An Empirical Study0
Textual Entailment for Effective Triple Validation in Object PredictionCode0
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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