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StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published
DogManTC Cowdillo
DogManTC
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AI & ML interests
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Recent Activity
updated a collection 21 minutes ago
Papers that exist updated a collection 22 minutes ago
Papers that exist updated a collection 23 minutes ago
Papers that existOrganizations
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Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Paper • 2403.14608 • Published -
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper
Paper • 2311.13126 • Published • 1 -
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
Paper • 2409.09510 • Published -
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Paper • 2407.01320 • Published
-
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published
-
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Paper • 2403.14608 • Published -
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper
Paper • 2311.13126 • Published • 1 -
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
Paper • 2409.09510 • Published -
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Paper • 2407.01320 • Published
models 12
DogManTC/test-rvc-onnx
Updated
DogManTC/def-not-gemma3-270m
Text Generation • 0.3B • Updated • 5
DogManTC/def-not-gpt2
0.1B • Updated • 3
DogManTC/Virtuoso-Lite-Q4_K_M-GGUF
10B • Updated
DogManTC/BananAI-F16-GGUF
2.87M • Updated • 11
DogManTC/BananAI
Updated • 2
DogManTC/KyarAI-v1-F16-GGUF
3.44M • Updated • 6
DogManTC/KyarAI-v1
Updated • 3
DogManTC/gemma-2-9b-Turkish-Lora-Continue-Pre-Trained-F16-GGUF
Text Generation • 4.47M • Updated • 3
DogManTC/gemma-2-9b-it-lora-yt-titles-F16-GGUF
Text Generation • 17.9M • Updated • 7
datasets 0
None public yet