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Discover the best community collections!

Collections including paper arxiv:2410.10934

about 10 hours ago

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

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 80
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

For Human and Artificial Intelligence in Organizations

SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Paper • 2409.05556 • Published Sep 9 • 1
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Paper • 2409.04109 • Published Sep 6 • 43
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Paper • 2409.15277 • Published Sep 23 • 34
Learning Task Decomposition to Assist Humans in Competitive Programming

Paper • 2406.04604 • Published Jun 7 • 4

Agent-as-a-Judge: Evaluate Agents with Agents

Paper • 2410.10934 • Published 24 days ago • 10

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

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 32
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 44
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 35
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 60

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23 • 13
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4 • 24
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30 • 29
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30 • 5

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