https://github.com/virobo-15/efficient-3d-aware-facial-image-editing
공식 코드Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning
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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
Unsupervised Extractive Summarization using Pointwise Mutual Information
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
Memory-efficient Stochastic methods for Memory-based Transformers
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
StarVector: Generating Scalable Vector Graphics Code from Images and Text
Computational Assessment of Hyperpartisanship in News Titles
WangchanBERTa: Pretraining transformer-based Thai Language Models
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuray
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Dual-path CNN with Max Gated block for Text-Based Person Re-identification
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
CIE: Controlling Language Model Text Generations Using Continuous Signals
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.