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Collections including paper arxiv:2402.05930

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

about 18 hours ago

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

Planning-with-LLM

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

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Adaptable Logical Control for Large Language Models

Paper • 2406.13892 • Published Jun 19, 2024 • 1
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Paper • 2406.19215 • Published Jun 27, 2024 • 30
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Paper • 2405.14831 • Published May 23, 2024 • 3

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

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 41
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

Question Aware Vision Transformer for Multimodal Reasoning

Paper • 2402.05472 • Published Feb 8, 2024 • 9
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 41
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Paper • 2402.05930 • Published Feb 8, 2024 • 39
More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3, 2024 • 52

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

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

Paper • 2402.05930 • Published Feb 8, 2024 • 39
McGill-NLP/WebLINX

Viewer • Updated Dec 7, 2024 • 79.8k • 739 • 61
McGill-NLP/Llama-3-8B-Web

Text Generation • Updated Apr 26, 2024 • 195 • 210
Running

15

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WebLINX Explorer

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

Paper • 2401.17053 • Published Jan 30, 2024 • 32
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6, 2024 • 31
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5, 2024 • 78
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Paper • 2402.05930 • Published Feb 8, 2024 • 39

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 30
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 21
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 66

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