arXiv (All)
open access
Counterfactual Self-Evolving Agents for Evidence-Grounded Reasoning
Self-play proposer--solver methods improve reasoning by generating tasks and learning from verified solutions. However, for evidence-identifiable tasks, where case-specific evidence and domain knowledge determine a checkable answer, self-play requires generating plausible cases whose answers can be
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
- DP18832: Identifying Level-k Reasoning in Repeated Games: Strategies, Beliefs, and Cognitive Ability#395562
- Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning#668034
- Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning#986640
- EndoCogniAgent: Closed-Loop Agentic Reasoning with Self-Consistency Validation for Endoscopic Diagnosis#1052011
- APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering#822643
Record · ID 1117583
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