Pith. sign in

REVIEW 2 cited by

InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2308.01552 v1 pith:KSBXVBCC submitted 2023-08-03 cs.AI cs.CLcs.LG

InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent

Po-Lin Chen , Cheng-Shang Chang This is my paper
classification cs.AI cs.CLcs.LG
keywords chatgptagentinteractresearchrolestasksaccordingadvancements
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

This research paper delves into the integration of OpenAI's ChatGPT into embodied agent systems, evaluating its influence on interactive decision-making benchmark. Drawing a parallel to the concept of people assuming roles according to their unique strengths, we introduce InterAct. In this approach, we feed ChatGPT with varied prompts, assigning it a numerous roles like a checker and a sorter, then integrating them with the original language model. Our research shows a remarkable success rate of 98% in AlfWorld, which consists of 6 different tasks in a simulated household environment, emphasizing the significance of proficient prompt engineering. The results highlight ChatGPT's competence in comprehending and performing intricate tasks effectively in real-world settings, thus paving the way for further advancements in task planning.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment

    cs.CL 2026-05 unverdicted novelty 7.0

    An AI-agent social platform generated mostly neutral content whose use in fine-tuning reduced model truthfulness comparably to human Reddit data, suggesting limited unique harm but flagging tail risks like secret leaks.

  2. A Survey on Large Language Model based Autonomous Agents

    cs.AI 2023-08 accept novelty 6.0

    A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future di...