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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 12011250 of 17610 papers

TitleStatusHype
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
Advancing Time Series Classification with Multimodal Language ModelingCode2
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse AutoencodersCode2
GODEL: Large-Scale Pre-Training for Goal-Directed DialogCode2
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video SegmentationCode2
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating MetaheuristicsCode2
Backtracing: Retrieving the Cause of the QueryCode2
DiffArtist: Towards Structure and Appearance Controllable Image StylizationCode2
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureCode2
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMCode2
Controlled Text Generation via Language Model ArithmeticCode2
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AICode2
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
Control Industrial Automation System with Large Language Model AgentsCode2
GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language ModelCode2
GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual GroundingCode2
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language ModelsCode2
GenSim: A General Social Simulation Platform with Large Language Model based AgentsCode2
Model Editing as a Robust and Denoised variant of DPO: A Case Study on ToxicityCode2
Contrastive Search Is What You Need For Neural Text GenerationCode2
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning DataCode2
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language ModelsCode2
Bayesian Flow NetworksCode2
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
GPT4RoI: Instruction Tuning Large Language Model on Region-of-InterestCode2
Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-FlowCode2
Generating Benchmarks for Factuality Evaluation of Language ModelsCode2
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query EfficiencyCode2
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsCode2
Generative Modeling for Mathematical DiscoveryCode2
BEACON: Benchmark for Comprehensive RNA Tasks and Language ModelsCode2
Contrastive Decoding: Open-ended Text Generation as OptimizationCode2
General-purpose, long-context autoregressive modeling with Perceiver ARCode2
Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsCode2
Generative Pre-trained Speech Language Model with Efficient Hierarchical TransformerCode2
Long-Form Speech Generation with Spoken Language ModelsCode2
Longhorn: State Space Models are Amortized Online LearnersCode2
Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingCode2
Generalized Interpolating Discrete DiffusionCode2
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
LP-MusicCaps: LLM-Based Pseudo Music CaptioningCode2
DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsCode2
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language ModelCode2
DiffCLIP: Differential Attention Meets CLIPCode2
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at ScaleCode2
ARAGOG: Advanced RAG Output GradingCode2
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context ExamplesCode2
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence ModelsCode2
Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking CapabilitiesCode2
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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