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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 9511000 of 17610 papers

TitleStatusHype
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular ModelingCode2
Android in the Zoo: Chain-of-Action-Thought for GUI AgentsCode2
Wukong: Towards a Scaling Law for Large-Scale RecommendationCode2
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-TrainingCode2
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
Trends, Applications, and Challenges in Human Attention ModellingCode2
CARZero: Cross-Attention Alignment for Radiology Zero-Shot ClassificationCode2
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceCode2
Retrieval is Accurate GenerationCode2
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A SurveyCode2
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model RepresentationsCode2
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language ModelsCode2
Long-Context Language Modeling with Parallel Context EncodingCode2
CodeS: Towards Building Open-source Language Models for Text-to-SQLCode2
Defending LLMs against Jailbreaking Attacks via BacktranslationCode2
HiGPT: Heterogeneous Graph Language ModelCode2
GraphWiz: An Instruction-Following Language Model for Graph ProblemsCode2
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Code2
PALO: A Polyglot Large Multimodal Model for 5B PeopleCode2
Subobject-level Image TokenizationCode2
Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningCode2
A Touch, Vision, and Language Dataset for Multimodal AlignmentCode2
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal ReasoningCode2
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language ModelCode2
Linear Transformers with Learnable Kernel Functions are Better In-Context ModelsCode2
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical FeedbackCode2
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven AgentsCode2
Open-Vocabulary Segmentation with Unpaired Mask-Text SupervisionCode2
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially FastCode2
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical TextsCode2
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended TasksCode2
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph ConstructionCode2
On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model InferenceCode2
ScreenAI: A Vision-Language Model for UI and Infographics UnderstandingCode2
Can Large Language Model Agents Simulate Human Trust Behavior?Code2
Rethinking Optimization and Architecture for Tiny Language ModelsCode2
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language ModelCode2
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
Jailbreaking Attack against Multimodal Large Language ModelCode2
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningCode2
Towards Efficient Exact Optimization of Language Model AlignmentCode2
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity EnhancementCode2
EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio CaptioningCode2
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion TokensCode2
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language ModelsCode2
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial AttacksCode2
Towards 3D Molecule-Text Interpretation in Language ModelsCode2
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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