TitleAuthorsURL
Self-chained image-language model for video localization and question answering
Yu et al.
11/2024
text
virtual
finetuning
pretraining
model_based
n/a
modeling/finetuning
https://proceedings.neurips.cc/paper_files/paper/2023/file/f22a9af8dbb348952b08bd58d4734b50-Paper-Conference.pdf
PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative Learning
Liu et al.
05/2024
mixed_objectives
more_than_three_agents
human
rule_based
education
more_omniscient
applications/education
https://doi.org/10.1145/3613905.3651008
Prompt-Gaming: A Pilot Study on LLM-Evaluating Agent in a Meaningful Energy Game
Isaza-Giraldo et al.
05/2024
collaboration
two_agents
human
rule_based
education
more_omniscient
applications/education
https://doi.org/10.1145/3613905.3650774
Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning
Cai et al.
05/2024
mixed_objectives
more_than_three_agents
human
rule_based
education
more_omniscient
applications/education
https://doi.org/10.1145/3613905.3650868
Young Children's Creative Storytelling with ChatGPT vs. Parent: Comparing Interactive Styles
Chin et al.
05/2024
collaboration
two_agents
human
rule_based
education
more_omniscient
applications/education
https://doi.org/10.1145/3613905.3650770
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
Mathur et al.
04/2024
collaboration
competition
embodied
mixed_objectives
robotics
text
virtual
agents_with_personas
reinforcement_learning
two_agents
human
n/a
https://arxiv.org/abs/2404.11023
Social Skill Training with Large Language Models
Yang et al.
04/2024
collaboration
competition
mixed_objectives
text
agents_with_personas
reinforcement_learning
two_agents
human
rule_based
n/a
https://arxiv.org/abs/2404.04204
To Tell The Truth: Language of Deception and Language Models
Majumder et al.
04/2024
mixed_objectives
text
more_than_three_agents
rule_based
more_information_asymmetrical
environments/language
https://arxiv.org/abs/2311.07092
Scaling Instructable Agents Across Many Simulated Worlds
Team et al.
04/2024
embodied
finetuning
prompting_and_in_context_learning
qualitative
human_agent
environments/embodied
https://arxiv.org/abs/2404.10179v2
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Xie et al.
04/2024
virtual
prompting_and_in_context_learning
rule_based
n/a
environments/virtual
https://arxiv.org/abs/2404.07972
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