arXiv (All)
open access
CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models
Large language models (LLMs) excel at operating at scale by leveraging social media and various data crawled from the web. Whereas existing corpora are diverse, their frequent lack of long-term temporal structure may however limit an LLM's ability to contextualize semantic and normative evolution of
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
- Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs#971880
- KoNeoBench: A Curated Evaluation Dataset for LLM Understanding of Korean Neologisms#1014962
- LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations#1014540
- Relation-Aware Graph Foundation Model#1129079
- Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions#285464
Record · ID 998025
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