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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 20512100 of 17610 papers

TitleStatusHype
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient TuningCode1
Resonance RoPE: Improving Context Length Generalization of Large Language ModelsCode1
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic InteractionCode1
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model EncodingsCode1
Large Language Models are Learnable Planners for Long-Term RecommendationCode1
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic DimensionCode1
SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language ModelCode1
Multi-objective Differentiable Neural Architecture SearchCode1
CogBench: a large language model walks into a psychology labCode1
Grounding Language Models for Visual Entity RecognitionCode1
XMoE: Sparse Models with Fine-grained and Adaptive Expert SelectionCode1
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long DocumentsCode1
A Language Model based Framework for New Concept Placement in OntologiesCode1
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual PropertyCode1
Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual SpaceCode1
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding BridgeCode1
Say More with Less: Understanding Prompt Learning Behaviors through Gist CompressionCode1
TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human AnnotationCode1
MATHWELL: Generating Educational Math Word Problems Using Teacher AnnotationsCode1
Empowering Large Language Model Agents through Action LearningCode1
Self-Retrieval: End-to-End Information Retrieval with One Large Language ModelCode1
AttributionBench: How Hard is Automatic Attribution Evaluation?Code1
Uncertainty-Aware Evaluation for Vision-Language ModelsCode1
Balanced Data Sampling for Language Model Training with ClusteringCode1
Watermarking Makes Language Models RadioactiveCode1
SIMPLOT: Enhancing Chart Question Answering by Distilling EssentialsCode1
LLMBind: A Unified Modality-Task Integration FrameworkCode1
Q-Probe: A Lightweight Approach to Reward Maximization for Language ModelsCode1
RelayAttention for Efficient Large Language Model Serving with Long System PromptsCode1
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety AlignmentCode1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
Analysing The Impact of Sequence Composition on Language Model Pre-TrainingCode1
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentCode1
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
LongWanjuan: Towards Systematic Measurement for Long Text QualityCode1
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and DistillationCode1
CriticEval: Evaluating Large Language Model as CriticCode1
Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINECode1
Large Language Model-based Human-Agent Collaboration for Complex Task SolvingCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object DiffusionCode1
Soft Self-Consistency Improves Language Model AgentsCode1
ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicCode1
Text-Guided Molecule Generation with Diffusion Language ModelCode1
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box IdentificationCode1
Heterogeneous Graph Reasoning for Fact Checking over Texts and TablesCode1
CodeArt: Better Code Models by Attention Regularization When Symbols Are LackingCode1
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data SelectionCode1
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct DecodingCode1
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge AugmentationCode1
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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