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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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 7451–7500 of 17610 papers

TitleStatusHype
Towards Auto-Modeling of Formal Verification for NextG Protocols: A Multimodal cross- and self-attention Large Language Model Approach—0
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile DevicesCode3
TinyGPT-V: Efficient Multimodal Large Language Model via Small BackbonesCode3
Virtual Scientific Companion for Synchrotron Beamlines: A Prototype—0
A Simple LLM Framework for Long-Range Video Question-AnsweringCode1
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure InferenceCode1
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model—0
Do Androids Know They're Only Dreaming of Electric Sheep?—0
Learning to Generate Text in Arbitrary Writing Styles—0
LISA++: An Improved Baseline for Reasoning Segmentation with Large Language ModelCode4
Spike No More: Stabilizing the Pre-training of Large Language Models—0
On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent—0
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation—0
Automating Knowledge Acquisition for Content-Centric Cognitive Agents Using LLMs—0
A Large Language Model-based Computational Approach to Improve Identity-Related Write-Ups—0
Exploring intra-task relations to improve meta-learning algorithms—0
A bi-objective ε-constrained framework for quality-cost optimization in language model ensembles—0
LLM-SAP: Large Language Models Situational Awareness Based PlanningCode1
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k RecommendationCode1
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
A Split-and-Privatize Framework for Large Language Model Fine-Tuning—0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining—0
Preliminary Study on Incremental Learning for Large Language Model-based Recommender SystemsCode0
PersianLLaMA: Towards Building First Persian Large Language Model—0
Multimodal Classification of Teaching Activities from University Lecture Recordings—0
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation—0
Fairness-Aware Structured Pruning in TransformersCode0
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development—0
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model InferenceCode2
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingCode3
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue—0
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical StudyCode1
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems—0
Personalized Large Language Model Assistant with Evolving Conditional Memory—0
Empowering Working Memory for Large Language Model Agents—0
Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities—0
Revisiting Few-Shot Object Detection with Vision-Language ModelsCode0
Language Model is a Branch Predictor for Simultaneous Machine TranslationCode0
Large Language Model (LLM) Bias Index -- LLMBI—0
TextFusion: Unveiling the Power of Textual Semantics for Controllable Image FusionCode1
How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark—0
Context-aware Decoding Reduces Hallucination in Query-focused SummarizationCode1
AsyncMLD: Asynchronous Multi-LLM Framework for Dialogue Recommendation System—0
Multi-Sentence Grounding for Long-term Instructional Video—0
Shai: A large language model for asset management—0
Exploiting Novel GPT-4 APIsCode1
Exploiting Contextual Target Attributes for Target Sentiment Classification—0
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning—0
Speech Translation with Large Language Models: An Industrial Practice—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