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).
LLM Roleplay: Simulating Human-Chatbot Interaction
A list of research papers of explainable machine learning.
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.
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
Component for Collaborative Intelligence within the project AIREDGIO5.0
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 IDAS framework with its KSODI method and the belonging SIRA-protocol measures human-AI interactions. It aims to systematically prove and improve its quality based on a unique metric and may enable people to think deeper. It follows an ethical, Governance-ready idea while targeting to keep maximum privacy.
[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.
Implementing Ethical Responsibility in AI Systems
Emotion-aware AI companion that uses facial expressions, voice tone, and chat sentiment to generate empathetic responses — all running offline on your device.
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.
This is an open-source repository for the system DynEx: Structured Design Exploration for AI Code Synthesis (CHI 2025, best paper honorable mention). Paper: https://arxiv.org/abs/2410.00400
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