arXiv (All)
open access
WordPolo: Evaluating Language Models Through Iterative Semantic Feedback
Large Language Models (LLMs) and Large Reasoning Models (LRMs) are typically evaluated on challenging benchmarks through dataset accuracy alone, providing no insight into the quality or faithfulness of their reasoning processes. We present WordPolo, a word-finding task where participants must discov
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
- Knowing When to Critique: Task-Adaptive Metacognitive Regulation for Reliable LLM Reasoning#1118403
- Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models#984842
- Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG#925810
- Argumentation for Explainable and Globally Contestable Decision Support with LLMs#798800
- Argumentation for Explainable and Globally Contestable Decision Support with LLMs#797386
Record · ID 1013219
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