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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 4151–4200 of 17610 papers

TitleStatusHype
500xCompressor: Generalized Prompt Compression for Large Language ModelsCode2
Analysis of Argument Structure Constructions in a Deep Recurrent Language Model—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Body of Her: A Preliminary Study on End-to-End Humanoid Agent—0
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning—0
Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective—0
XMainframe: A Large Language Model for Mainframe ModernizationCode2
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion—0
Wiping out the limitations of Large Language Models -- A Taxonomy for Retrieval Augmented Generation—0
Development of REGAI: Rubric Enabled Generative Artificial Intelligence—0
Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection—0
Command-line Obfuscation Detection using Small Language Models—0
Caution for the Environment: Multimodal Agents are Susceptible to Environmental DistractionsCode1
Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph—0
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language ModelCode1
Infusing Environmental Captions for Long-Form Video Language Grounding—0
SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models—0
BOTS-LM: Training Large Language Models for Setswana—0
Large Language Model Aided QoS Prediction for Service Recommendation—0
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation—0
Progressively Label Enhancement for Large Language Model Alignment—0
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process—0
Visual Grounding for Object-Level Generalization in Reinforcement LearningCode1
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference—0
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems—0
A Novel Evaluation Framework for Image2Text Generation—0
Multi-Frame Vision-Language Model for Long-form Reasoning in Driver Behavior Analysis—0
Self-Emotion Blended Dialogue Generation in Social Simulation Agents—0
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer—0
Six Dragons Fly Again: Reviving 15th-Century Korean Court Music with Transformers and Novel EncodingCode1
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines—0
A Backbone for Long-Horizon Robot Task Understanding—0
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control—0
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios—0
Peptide Sequencing Via Protein Language Models—0
UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation—0
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task GenerationCode1
ExpertAF: Expert Actionable Feedback from Video—0
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model—0
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuningCode2
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data—0
Are Bigger Encoders Always Better in Vision Large Models?—0
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation—0
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsCode1
DeliLaw: A Chinese Legal Counselling System Based on a Large Language ModelCode2
ABC Align: Large Language Model Alignment for Safety & Accuracy—0
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)—0
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion—0
Intelligent Transformation: General Intelligence Theory—0
LADDER: Language Driven Slice Discovery and Error RectificationCode1
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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