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Collections including paper arxiv:2402.05930

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

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

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 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Planning-with-LLM

Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26 • 47
Adaptable Logical Control for Large Language Models

Paper • 2406.13892 • Published Jun 19 • 1
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Paper • 2406.19215 • Published Jun 27 • 29
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Paper • 2405.14831 • Published May 23 • 3

Question Aware Vision Transformer for Multimodal Reasoning

Paper • 2402.05472 • Published Feb 8 • 7
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Paper • 2402.05930 • Published Feb 8 • 39
More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3 • 51

https://mcgill-nlp.github.io/weblinx

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Paper • 2402.05930 • Published Feb 8 • 39
McGill-NLP/WebLINX

Viewer • Updated May 28 • 79.8k • 323 • 59
McGill-NLP/Llama-3-8B-Web

Text Generation • Updated Apr 26 • 294 • 202
Running

13

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WebLINX Explorer

BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation

Paper • 2401.17053 • Published Jan 30 • 30
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6 • 28
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5 • 67
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Paper • 2402.05930 • Published Feb 8 • 39

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 63

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