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Collections including paper arxiv:2406.19263

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

Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
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

Look Every Frame All at Once: Video-Ma^2mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing

Paper • 2411.19460 • Published Nov 29, 2024 • 10
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding

Paper • 2406.19263 • Published Jun 27, 2024 • 9
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Paper • 2412.02592 • Published Dec 3, 2024 • 20

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published Jun 25, 2024 • 28
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations

Paper • 2406.13632 • Published Jun 19, 2024 • 5
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding

Paper • 2406.19263 • Published Jun 27, 2024 • 9
Can LLMs Learn by Teaching? A Preliminary Study

Paper • 2406.14629 • Published Jun 20, 2024 • 19

Multi-modality LVM

VoCo-LLaMA: Towards Vision Compression with Large Language Models

Paper • 2406.12275 • Published Jun 18, 2024 • 29
TroL: Traversal of Layers for Large Language and Vision Models

Paper • 2406.12246 • Published Jun 18, 2024 • 34
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Paper • 2406.15334 • Published Jun 21, 2024 • 8
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Paper • 2406.12742 • Published Jun 18, 2024 • 14

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 30
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 20
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 15
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 12

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