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Language Modeling

Papers

Showing 18261850 of 14182 papers

TitleStatusHype
TCP:Textual-based Class-aware Prompt tuning for Visual-Language ModelCode1
Acoustic Prompt Tuning: Empowering Large Language Models with Audition CapabilitiesCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media AnalysisCode1
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?Code1
vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model TrainingCode1
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?Code1
DUnE: Dataset for Unified EditingCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
Paragraph-to-Image Generation with Information-Enriched Diffusion ModelCode1
Image Super-Resolution with Text Prompt DiffusionCode1
Large Language Model as a Policy Teacher for Training Reinforcement Learning AgentsCode1
Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target ObjectCode1
BEND: Benchmarking DNA Language Models on biologically meaningful tasksCode1
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation MatchingCode1
Oasis: Data Curation and Assessment System for Pretraining of Large Language ModelsCode1
Extracting Definienda in Mathematical Scholarly Articles with TransformersCode1
Causal Structure Learning Supervised by Large Language ModelCode1
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical TasksCode1
LION : Empowering Multimodal Large Language Model with Dual-Level Visual KnowledgeCode1
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model FinetuningCode1
Contrastive Chain-of-Thought PromptingCode1
VideoCon: Robust Video-Language Alignment via Contrast CaptionsCode1
Accelerating Toeplitz Neural Network with Constant-time Inference ComplexityCode1
MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledgeCode1
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