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
Component for Collaborative Intelligence within the project AIREDGIO5.0
This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanations in human-AI interactions.
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
A work of meta-recursive experiential fiction exploring the boundaries between truth, perception, consciousness, and reality.
[ICRA 2024] Official PyTorch Implementation of ''Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments''.
[VIS 2022] Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning
Human in the loop plan selection
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.
[HCI Korea 2022] VANAS: A Visual Analytics System for Neural Architecture Search
JudgeGPT: An empirical research platform for evaluating the authenticity of AI-generated news.
Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.
Rhythm-based AI protocol for resonance without memory — Tuk–Tak–Kung: a poetic experiment in non-semantic activation.
CS889 Course Project (University of Waterloo, W25) – A Streamlit-based interactive application designed to assist doctors in making informed decisions while having a conversation with the patient by generating on-the-fly insights grounded in historical data.
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
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