arXiv (All)
open access
Using LLMs to Mimic the Conversational Dynamics of Reddit Communities
Online communities face a constant battle against toxicity and misinformation. While human moderators struggle to keep pace with the volume of content, LLMs offer a promising solution for automatically generating constructive responses and shaping online interactions. This paper preliminarily invest
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Using LLMs to Mimic the Conversational Dynamics of Reddit Communities#789210
- QoNext: Towards Next-generation QoE for Foundation Models#971710
- Less Is More: Measuring How LLM Involvement affects Chatbot Accuracy in Static Analysis#126581
- The AI Penalty and Disclosure Paradox: Trust, Authenticity and Knowledge Uptake in AI-Mediated Communication#700027
- Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and Responses#1013842
Record · ID 793214
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive