innovation64 's Collections
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Paper
• 2404.15676
• Published
How faithful are RAG models? Quantifying the tug-of-war between RAG and
LLMs' internal prior
Paper
• 2404.10198
• Published
• 8
RAFT: Adapting Language Model to Domain Specific RAG
Paper
• 2403.10131
• Published
• 72
FaaF: Facts as a Function for the evaluation of RAG systems
Paper
• 2403.03888
• Published
From Local to Global: A Graph RAG Approach to Query-Focused
Summarization
Paper
• 2404.16130
• Published
• 7
RAGGED: Towards Informed Design of Retrieval Augmented Generation
Systems
Paper
• 2403.09040
• Published
• 1
Similarity is Not All You Need: Endowing Retrieval Augmented Generation
with Multi Layered Thoughts
Paper
• 2405.19893
• Published
• 33
CRAG -- Comprehensive RAG Benchmark
Paper
• 2406.04744
• Published
• 46
From RAGs to rich parameters: Probing how language models utilize
external knowledge over parametric information for factual queries
Paper
• 2406.12824
• Published
• 21
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG
Capabilities
Paper
• 2407.14482
• Published
• 26
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Paper
• 2407.12854
• Published
• 31
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented
Generation
Paper
• 2409.12941
• Published
• 23
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via
Inference-time Hybrid Information Structurization
Paper
• 2410.08815
• Published
• 47
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page
Multi-document Understanding
Paper
• 2411.04952
• Published
• 29
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large
Reasoning Models with Iterative Retrieval Augmented Generation
Paper
• 2503.21729
• Published
• 29
Perception, Reason, Think, and Plan: A Survey on Large Multimodal
Reasoning Models
Paper
• 2505.04921
• Published
• 186
MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
Paper
• 2509.26391
• Published
• 22
Mem-α: Learning Memory Construction via Reinforcement Learning
Paper
• 2509.25911
• Published
• 15