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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
Collections
Discover the best community collections!
Collections including paper arxiv:2312.05708
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
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aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 31 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 28 -
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Paper • 2401.00604 • Published • 6 -
LARP: Language-Agent Role Play for Open-World Games
Paper • 2312.17653 • Published • 33
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 48 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12
-
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
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 31 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 28 -
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Paper • 2401.00604 • Published • 6 -
LARP: Language-Agent Role Play for Open-World Games
Paper • 2312.17653 • Published • 33
-
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 48 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12