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Collections including paper arxiv:2408.00714

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, 2024 • 22
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 82
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 145
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Papers I want to read

Papers in my to-read list

about 7 hours ago

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 66
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 109

Papers related to web agents, screen agents, autonomous agents that can mimic human users in computer and/or web use

ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 39
WebArena: A Realistic Web Environment for Building Autonomous Agents

Paper • 2307.13854 • Published Jul 25, 2023 • 24
Mind2Web: Towards a Generalist Agent for the Web

Paper • 2306.06070 • Published Jun 9, 2023 • 19
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Paper • 2410.13232 • Published Oct 17, 2024 • 41

AI papers to read

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 109

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, 2024
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering

Paper • 2409.08250 • Published Sep 12, 2024 • 1
Synthetic continued pretraining

Paper • 2409.07431 • Published Sep 11, 2024 • 2
WonderWorld: Interactive 3D Scene Generation from a Single Image

Paper • 2406.09394 • Published Jun 13, 2024 • 3

scene understanding

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 109

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 32
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 25
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 21

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 109

Computer Vision

Do we still need a network for specific computer vision tasks anymore today?

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 109
facebook/sam2.1-hiera-large

Mask Generation • Updated Sep 24, 2024 • 19.5k • 49

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