OpenFC: Learning Verification Policies towards Open-Search Fact Checking
cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
- Complex Claim Verification with Evidence Retrieved in the Wild
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
- CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
- A Survey on Automated Fact-Checking
- Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
- HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
- Active Retrieval Augmented Generation
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- WebSailor: Navigating Super-human Reasoning for Web Agent
- Search-o1: Agentic Search-Enhanced Large Reasoning Models
- PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning
- WebGPT: Browser-assisted question-answering with human feedback
- Fact-Checking Complex Claims with Program-Guided Reasoning
- ClaimCheck: Real-Time Fact-Checking with Small Language Models
- AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
- Tongyi DeepResearch Technical Report
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