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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 19011950 of 17610 papers

TitleStatusHype
Wormhole Memory: A Rubik's Cube for Cross-Dialogue Retrieval0
Locality-aware Fair Scheduling in LLM Serving0
RealCritic: Towards Effectiveness-Driven Evaluation of Language Model CritiquesCode1
Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game0
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace EditingCode1
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention0
Humanity's Last Exam0
SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation0
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and GenerationCode3
Knowledge Graphs Construction from Criminal Court Appeals: Insights from the French Cassation Court0
Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment0
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution FittingCode2
Communicating Activations Between Language Model Agents0
Enhancing Biomedical Relation Extraction with DirectionalityCode1
CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation0
Multi-aspect Knowledge Distillation with Large Language ModelCode0
The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling CapabilitiesCode3
EventVL: Understand Event Streams via Multimodal Large Language Model0
Large Language Model driven Policy Exploration for Recommender Systems0
MapColorAI: Designing Contextually Relevant Choropleth Map Color Schemes Using a Large Language Model0
Separated Inter/Intra-Modal Fusion Prompts for Compositional Zero-Shot Learning0
SoundSpring: Loss-Resilient Audio Transceiver with Dual-Functional Masked Language Modeling0
Accessible Smart Contracts Verification: Synthesizing Formal Models with Tamed LLMsCode0
LLM4WM: Adapting LLM for Wireless Multi-Tasking0
ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented RealityCode0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering0
Large Language Model-Based Semantic Communication System for Image Transmission0
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model0
ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented GenerationCode0
A Hybrid Attention Framework for Fake News Detection with Large Language Models0
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelCode3
PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language ModelCode1
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding0
Panoramic Interests: Stylistic-Content Aware Personalized Headline GenerationCode0
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class ImbalanceCode0
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks0
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented GenerationCode7
Trojan Detection Through Pattern Recognition for Large Language Models0
Glinthawk: A Two-Tiered Architecture for Offline LLM InferenceCode1
SeRpEnt: Selective Resampling for Expressive State Space Models0
The Value of Nothing: Multimodal Extraction of Human Values Expressed by TikTok Influencers0
Agent-R: Training Language Model Agents to Reflect via Iterative Self-TrainingCode2
EndoChat: Grounded Multimodal Large Language Model for Endoscopic SurgeryCode1
Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingCode2
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language ModelCode1
AI Based Font Pair Suggestion Modelling For Graphic Design0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP0
DNA 1.0 Technical Report0
Adapting Large Language Models for Character-based Augmentative and Alternative Communication0
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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