arXiv (All)
open access
Mutable Transcripts: Mitigating Context Pollution through Editable Conversation State
Contemporary large language model (LLM) chat systems treat conversation history as an immutable sequence of turns that defines the model's working context. However, user intent in real interactions is not static: it evolves through correction, refinement, and shifting constraints. This mismatch betw
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
- CoReflect: A Reflective Co-Evolution Framework for Improving Conversational Evaluation#798731
- CoReflect: A Reflective Co-Evolution Framework for Improving Conversational Evaluation#797317
- Conversational repair and human understanding#470114
- When Cosine Similarity Fails to Reflect Linearly Accessible Structure in Dialogue Models#1037205
- Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and Responses#1013842
Record · ID 1106053
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