arXiv (All)
open access
Faithful Activation Verbalization: Reducing Hallucinations in LLM Representation Interpretation
Activation verbalization methods such as Activation Oracle and Natural Language Autoencoders decode hidden representations of large language models into human-readable natural language. However, existing methods can produce incomplete or hallucinated descriptions, making their activation verbalizati
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
- JustMem: Just-Enough Memory Access for Long-Term Conversations#1014924
- From Arousal to Morpheme: Grounding Meaning in Pre-Linguistic Inferential Structures#122495
- Can LLMs Provide Valid Cognitive Insight about Humans?#723598
- You again? 14-month-olds show neural signatures of lexical-semantic activation for novel instead of familiar voices#280313
- Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy#781103
Record · ID 1119106
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