arXiv (All)
open access
LSR-Ben: A Logical and Scientific Reasoning Benchmark for Evaluating Process Reward Models
Currently, process reward models (PRMs) have exhibited remarkable potential for test-time scaling. Since large language models (LLMs) regularly generate flawed intermediate reasoning steps when tackling a broad spectrum of reasoning and decision-making tasks, PRMs are required to possess capabilitie
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
- GUI-PRA: Process Reward Agent for GUI Tasks#798645
- GUI-PRA: Process Reward Agent for GUI Tasks#797231
- Cliff: Learning Process Rewards from the First Mistake#924942
- Cliff: Learning Process Rewards from the First Mistake#920708
- MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt Optimization#1118430
Record · ID 1143744
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