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Collections including paper arxiv:2407.09450

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 11
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 50
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

Prompt is text-based memory. System II prompting is updating memory. Parametric memory is long-term, while prompt-based are short-tem.

What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs

Paper • 2409.08775 • Published Sep 13
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering

Paper • 2409.08250 • Published Sep 12 • 1
Synthetic continued pretraining

Paper • 2409.07431 • Published Sep 11 • 1
WonderWorld: Interactive 3D Scene Generation from a Single Image

Paper • 2406.09394 • Published Jun 13 • 3

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Paper • 2407.09025 • Published Jul 12 • 128
Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

Paper • 2407.05131 • Published Jul 6 • 24
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1 • 75

Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60

Steves Collection

Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Paper • 2407.09025 • Published Jul 12 • 128
Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60

Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60
MUSCLE: A Model Update Strategy for Compatible LLM Evolution

Paper • 2407.09435 • Published Jul 12 • 20
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training

Paper • 2407.09121 • Published Jul 12 • 5
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Paper • 2407.14482 • Published Jul 19 • 24

Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60

Let's Get Into This

Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12 • 60

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Paper • 2407.02490 • Published Jul 2 • 23
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations

Paper • 2406.13632 • Published Jun 19 • 5
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21 • 61
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25 • 52

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