https://github.com/opengvlab/omniquant
공식 코드OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer
ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation
EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
LLM4AD: A Platform for Algorithm Design with Large Language Model
IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
Boosting Disfluency Detection with Large Language Model as Disfluency Generator
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Rank1: Test-Time Compute for Reranking in Information Retrieval
Excuse me, sir? Your language model is leaking (information)
Fact-checking information from large language models can decrease headline discernment
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
AttributionBench: How Hard is Automatic Attribution Evaluation?
Automatic Evaluation of Attribution by Large Language Models
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Completing A Systematic Review in Hours instead of Months with Interactive AI Agents
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models
A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.