arXiv (All)
open access
Exemplars in Disguise: Pure Exemplar Models Mimic Abstraction-First Learning
Whether idiosyncratic, item-specific knowledge is learned before abstract class-level generalizations, or vice versa, is a central question in language learning, with exemplar and abstraction-based theories making opposite predictions. Recent methods have claimed to show that, at least for large lan
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
- An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language Models#1108898
- Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs#1344513
- GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity#972220
- MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression#985279
- Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning#677416
Record · ID 1310849
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