ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.00717
  4. Cited By
It Takes Two to Tango: Towards Theory of AI's Mind

It Takes Two to Tango: Towards Theory of AI's Mind

3 April 2017
Arjun Chandrasekaran
Deshraj Yadav
Prithvijit Chattopadhyay
Viraj Prabhu
Devi Parikh
ArXivPDFHTML

Papers citing "It Takes Two to Tango: Towards Theory of AI's Mind"

34 / 34 papers shown
Title
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection
Bo Yang
Jiaxian Guo
Yusuke Iwasawa
Y. Matsuo
AI4CE
41
1
0
28 Jan 2025
Agents meet OKR: An Object and Key Results Driven Agent System with
  Hierarchical Self-Collaboration and Self-Evaluation
Agents meet OKR: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation
Yi Zheng
Chongyang Ma
Kanle Shi
Haibin Huang
33
4
0
28 Nov 2023
Towards A Holistic Landscape of Situated Theory of Mind in Large
  Language Models
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
Ziqiao Ma
Jacob Sansom
Run Peng
Joyce Chai
57
17
0
30 Oct 2023
The Impact of Imperfect XAI on Human-AI Decision-Making
The Impact of Imperfect XAI on Human-AI Decision-Making
Katelyn Morrison
Philipp Spitzer
Violet Turri
Michelle C. Feng
Niklas Kühl
Adam Perer
38
33
0
25 Jul 2023
Exploring Challenges and Opportunities to Support Designers in Learning
  to Co-create with AI-based Manufacturing Design Tools
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner
Humphrey Yang
L. Yao
Kenneth Holstein
Nikolas Martelaro
AI4CE
62
65
0
01 Mar 2023
Explanations Can Reduce Overreliance on AI Systems During
  Decision-Making
Explanations Can Reduce Overreliance on AI Systems During Decision-Making
Helena Vasconcelos
Matthew Jörke
Madeleine Grunde-McLaughlin
Tobias Gerstenberg
Michael S. Bernstein
Ranjay Krishna
34
164
0
13 Dec 2022
Unpacking Large Language Models with Conceptual Consistency
Unpacking Large Language Models with Conceptual Consistency
Pritish Sahu
Michael Cogswell
Yunye Gong
Ajay Divakaran
LRM
87
16
0
29 Sep 2022
Understandable Robots
Understandable Robots
Shikhar Kumar
19
13
0
22 Sep 2022
Calibrating Trust of Multi-Hop Question Answering Systems with
  Decompositional Probes
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Kaige Xie
Sarah Wiegreffe
Mark O. Riedl
ReLM
24
12
0
16 Apr 2022
MindCraft: Theory of Mind Modeling for Situated Dialogue in
  Collaborative Tasks
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Cristian-Paul Bara
Sky CH-Wang
J. Chai
67
62
0
13 Sep 2021
Improving Human Sequential Decision-Making with Reinforcement Learning
Improving Human Sequential Decision-Making with Reinforcement Learning
Hamsa Bastani
Osbert Bastani
W. Sinchaisri
HAI
OffRL
25
12
0
19 Aug 2021
Generating and Evaluating Explanations of Attended and Error-Inducing
  Input Regions for VQA Models
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models
Arijit Ray
Michael Cogswell
Xiaoyu Lin
Kamran Alipour
Ajay Divakaran
Yi Yao
Giedrius Burachas
FAtt
13
4
0
26 Mar 2021
Towards falsifiable interpretability research
Towards falsifiable interpretability research
Matthew L. Leavitt
Ari S. Morcos
AAML
AI4CE
21
67
0
22 Oct 2020
Improving Dialog Systems for Negotiation with Personality Modeling
Improving Dialog Systems for Negotiation with Personality Modeling
Runzhe Yang
Jingxiao Chen
Karthik Narasimhan
27
47
0
20 Oct 2020
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop
  Prediction
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
Eric Chu
D. Roy
Jacob Andreas
FAtt
LRM
16
71
0
23 Jul 2020
The Impact of Explanations on AI Competency Prediction in VQA
The Impact of Explanations on AI Competency Prediction in VQA
Kamran Alipour
Arijit Ray
Xiaoyu Lin
J. Schulze
Yi Yao
Giedrius Burachas
27
9
0
02 Jul 2020
Towards the Role of Theory of Mind in Explanation
Towards the Role of Theory of Mind in Explanation
Maayan Shvo
Toryn Q. Klassen
Sheila A. McIlraith
21
28
0
06 May 2020
Human Strategic Steering Improves Performance of Interactive
  Optimization
Human Strategic Steering Improves Performance of Interactive Optimization
Fabio Colella
Pedram Daee
Jussi P. P. Jokinen
Antti Oulasvirta
Samuel Kaski
LLMSV
6
9
0
04 May 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
F. Sado
C. K. Loo
W. S. Liew
Matthias Kerzel
S. Wermter
27
48
0
21 Apr 2020
Can you hear me $\textit{now}$? Sensitive comparisons of human and
  machine perception
Can you hear me now\textit{now}now? Sensitive comparisons of human and machine perception
Michael A. Lepori
C. Firestone
AAML
26
9
0
27 Mar 2020
A Study on Multimodal and Interactive Explanations for Visual Question
  Answering
A Study on Multimodal and Interactive Explanations for Visual Question Answering
Kamran Alipour
J. Schulze
Yi Yao
Avi Ziskind
Giedrius Burachas
32
27
0
01 Mar 2020
Modeling Conceptual Understanding in Image Reference Games
Modeling Conceptual Understanding in Image Reference Games
Rodolfo Corona
Stephan Alaniz
Zeynep Akata
22
27
0
10 Oct 2019
A Surprising Density of Illusionable Natural Speech
A Surprising Density of Illusionable Natural Speech
M. Guan
Gregory Valiant
AAML
19
3
0
03 Jun 2019
Can You Explain That? Lucid Explanations Help Human-AI Collaborative
  Image Retrieval
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval
Arijit Ray
Yi Yao
Rakesh Kumar
Ajay Divakaran
Giedrius Burachas
19
5
0
05 Apr 2019
Training Machine Learning Models by Regularizing their Explanations
Training Machine Learning Models by Regularizing their Explanations
A. Ross
FaML
26
0
0
29 Sep 2018
Humans can decipher adversarial images
Humans can decipher adversarial images
Zhenglong Zhou
C. Firestone
AAML
18
121
0
11 Sep 2018
Machine Teaching of Active Sequential Learners
Machine Teaching of Active Sequential Learners
Tomi Peltola
M. Çelikok
Pedram Daee
Samuel Kaski
27
25
0
08 Sep 2018
Evaluating Theory of Mind in Question Answering
Evaluating Theory of Mind in Question Answering
Aida Nematzadeh
Kaylee Burns
Erin Grant
Alison Gopnik
Thomas Griffiths
11
86
0
28 Aug 2018
Designing for Democratization: Introducing Novices to Artificial
  Intelligence Via Maker Kits
Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits
Victor C. Dibia
Aaron Cox
Justin D. Weisz
21
6
0
28 May 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
28
199
0
26 Feb 2018
Answerer in Questioner's Mind: Information Theoretic Approach to
  Goal-Oriented Visual Dialog
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
Sang-Woo Lee
Y. Heo
Byoung-Tak Zhang
35
31
0
12 Feb 2018
Interpretable Counting for Visual Question Answering
Interpretable Counting for Visual Question Answering
Alexander R. Trott
Caiming Xiong
R. Socher
38
71
0
23 Dec 2017
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven
  Communication
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
Jin-Hwa Kim
Nikita Kitaev
Xinlei Chen
Marcus Rohrbach
Byoung-Tak Zhang
Yuandong Tian
Dhruv Batra
Devi Parikh
DiffM
VGen
35
25
0
15 Dec 2017
Evaluating Visual Conversational Agents via Cooperative Human-AI Games
Evaluating Visual Conversational Agents via Cooperative Human-AI Games
Prithvijit Chattopadhyay
Deshraj Yadav
Viraj Prabhu
Arjun Chandrasekaran
Abhishek Das
Stefan Lee
Dhruv Batra
Devi Parikh
38
78
0
17 Aug 2017
1