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Collections including paper arxiv:2409.20566

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

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

Paper • 2405.17247 • Published May 27 • 85

a collection of algorithmic agents for user interfaces/interactions and program synthesis

about 4 hours ago

Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018
Mapping Natural Language Commands to Web Elements

Paper • 1808.09132 • Published Aug 28, 2018
Learning to Navigate the Web

Paper • 1812.09195 • Published Dec 21, 2018
Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations

Paper • 1909.00031 • Published Aug 30, 2019

about 20 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

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

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Paper • 2409.17481 • Published Sep 26 • 46
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30 • 51

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30 • 51

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30 • 51

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 97
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 116
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22 • 50

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 16

General Multimodal Learning

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Paper • 2401.14405 • Published Jan 25 • 11
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Paper • 2406.18521 • Published Jun 26 • 25
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22 • 33
Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

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