AI RESEARCH
Compositional Multi-hop Factual Error Correction via Decomposition-and-Injection
arXiv CS.CL
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ArXi:2605.02277v1 Announce Type: new Factual Error Correction (FEC) aims to revise inaccurate text into statements that are factually consistent with external evidence. Although recent methods perform well on single-hop correction, they often treat claims as atomic units and struggle with multi-hop cases that require compositional reasoning across multiple evidence sources. This challenge is further amplified by limited paired data and difficulties in locating semantic errors within complex reasoning chains.