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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

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Showing 1151–1200 of 17610 papers

TitleStatusHype
Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement LearningCode4
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-TuningCode2
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models—0
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation—0
Probing the topology of the space of tokens with structured prompts—0
Robust Transmission of Punctured Text with Large Language Model-based Recovery—0
What Makes a Reward Model a Good Teacher? An Optimization PerspectiveCode1
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning TasksCode3
Sig2text, a Vision-language model for Non-cooperative Radar Signal ParsingCode0
Leveraging MoE-based Large Language Model for Zero-Shot Multi-Task Semantic Communication—0
Shushing! Let's Imagine an Authentic Speech from the Silent Video—0
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback—0
RWKV-7 "Goose" with Expressive Dynamic State EvolutionCode9
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search—0
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM KernelsCode2
Enabling Inclusive Systematic Reviews: Incorporating Preprint Articles with Large Language Model-Driven Evaluations—0
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning—0
Good/Evil Reputation Judgment of Celebrities by LLMs via Retrieval Augmented Generation—0
MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments—0
SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability—0
ChatBEV: A Visual Language Model that Understands BEV Maps—0
The Empty Chair: Using LLMs to Raise Missing Perspectives in Policy Deliberations—0
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences—0
KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse—0
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model—0
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model—0
Agents Play Thousands of 3D Video Games—0
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing—0
High-entropy Advantage in Neural Networks' Generalizability—0
HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning—0
MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language ModelingCode2
Valid Text-to-SQL Generation with Unification-based DeepStochLogCode0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?Code1
State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling—0
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model CompressionCode3
A Survey on the Optimization of Large Language Model-based AgentsCode3
LLM-Mediated Guidance of MARL Systems—0
Applications of Large Language Model Reasoning in Feature Generation—0
Maritime Mission Planning for Unmanned Surface Vessel using Large Language Model—0
Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language ModelsCode0
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning—0
Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents—0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System—0
Test-Time Training Provably Improves Transformers as In-context Learners—0
Large language model-powered AI systems achieve self-replication with no human intervention—0
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning—0
BriLLM: Brain-inspired Large Language Model—0
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All datasetsWikiText-103Penn Treebank (Word Level)enwik8The PileWikiText-2LAMBADAOne Billion WordText8Penn Treebank (Character Level)Hutter PrizeOpenWebTextSALMon

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Decay RNNValidation perplexity76.67—Unverified
2GRUValidation perplexity53.78—Unverified
3LSTMValidation perplexity52.73—Unverified
4LSTMTest perplexity48.7—Unverified
5Temporal CNNTest perplexity45.2—Unverified
6TCNTest perplexity45.19—Unverified
7GCNN-8Test perplexity44.9—Unverified
8Neural cache model (size = 100)Test perplexity44.8—Unverified
9Neural cache model (size = 2,000)Test perplexity40.8—Unverified
10GPT-2 SmallTest perplexity37.5—Unverified
#ModelMetricClaimedVerifiedStatus
1TCNTest perplexity108.47—Unverified
2Seq-U-NetTest perplexity107.95—Unverified
3GRU (Bai et al., 2018)Test perplexity92.48—Unverified
4R-TransformerTest perplexity84.38—Unverified
5Zaremba et al. (2014) - LSTM (medium)Test perplexity82.7—Unverified
6Gal & Ghahramani (2016) - Variational LSTM (medium)Test perplexity79.7—Unverified
7LSTM (Bai et al., 2018)Test perplexity78.93—Unverified
8Zaremba et al. (2014) - LSTM (large)Test perplexity78.4—Unverified
9Gal & Ghahramani (2016) - Variational LSTM (large)Test perplexity75.2—Unverified
10Inan et al. (2016) - Variational RHNTest perplexity66—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM (7 layers)Bit per Character (BPC)1.67—Unverified
2HypernetworksBit per Character (BPC)1.34—Unverified
3SHA-LSTM (4 layers, h=1024, no attention head)Bit per Character (BPC)1.33—Unverified
4LN HM-LSTMBit per Character (BPC)1.32—Unverified
5ByteNetBit per Character (BPC)1.31—Unverified
6Recurrent Highway NetworksBit per Character (BPC)1.27—Unverified
7Large FS-LSTM-4Bit per Character (BPC)1.25—Unverified
8Large mLSTMBit per Character (BPC)1.24—Unverified
9AWD-LSTM (3 layers)Bit per Character (BPC)1.23—Unverified
10Cluster-Former (#C=512)Bit per Character (BPC)1.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Smaller Transformer 126M (pre-trained)Test perplexity33—Unverified
2OPT 125MTest perplexity32.26—Unverified
3Larger Transformer 771M (pre-trained)Test perplexity28.1—Unverified
4OPT 1.3BTest perplexity19.55—Unverified
5GPT-Neo 125MTest perplexity17.83—Unverified
6OPT 2.7BTest perplexity17.81—Unverified
7Smaller Transformer 126M (fine-tuned)Test perplexity12—Unverified
8GPT-Neo 1.3BTest perplexity11.46—Unverified
9Transformer 125MTest perplexity10.7—Unverified
10GPT-Neo 2.7BTest perplexity10.44—Unverified