AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models
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Updated
Mar 4, 2025 - JavaScript
AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models
Papers and online resources related to machine learning fairness
All about human-AI interaction (HCI + AI).
A list of research papers of explainable machine learning.
LLM Roleplay: Simulating Human-Chatbot Interaction
PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanations in human-AI interactions.
[ICRA 2024] Official PyTorch Implementation of ''Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments''.
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
A revolutionary Mental Operating System that unlocks your innate genius and peak mental performance through powerful cognitive patterns and principles, transforming how you live, think, learn, solve complex problems, and even how you interact with AI. Discover extraordinary problem-solving abilities and generate breakthrough insights. 🧠
[VIS 2022] Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning
Human in the loop plan selection
JudgeGPT - (Fake) News Evaluation, a research project
[HCI Korea 2022] VANAS: A Visual Analytics System for Neural Architecture Search
What are People Talking about in #BackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model
Flask based REST API for experimenting with multi-agent systems that support data analysis and visualization
The KSODI method evaluates the clarity and precision of human-AI interactions based on various dimensions and a well-defined scale **from the AI's perspective**, so that the AI becomes a trainer and coach for the user. It aims to systematically improve the quality of questions and answers, enabling more efficient human-machine communication.
The webpage for the Human-Centered AI Reading Group at the Mila Quebec AI Institute.
LecTutor is a mobile app prototype for automating the process of creating revision quizzes, based on lecture notes or slides. It was created in a group setting, as an assignment for the COMP3647 Human-AI Interaction Design module at Durham University in the academic year 2022/2023. The app was implemented based on the design by other group members.
This is an open-source repository for the system DynEx: Structured Design Exploration for AI Code Synthesis (CHI 2025). Paper: https://arxiv.org/abs/2410.00400
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