一作ICML 2026Poster· Deep Learning / Large Language Models
Multimodal Fact-Level Attribution for Verifiable Reasoning
David Wan · Han Wang · Ziyang Wang · Elias Stengel-Eskin · Hyunji Lee · Mohit Bansal
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David Wan · Han Wang · Ziyang Wang · Elias Stengel-Eskin · Hyunji Lee · Mohit Bansal
Sapir Harary · Eran Hirsch · Aviv Slobodkin · David Wan · Mohit Bansal · Ido Dagan
Natural Language Inference (NLI) models have been used in various ways to improve the factuality of LLM outputs. This is typically done by applying an NLI model to judge whether the model output is entailed from the supposed evidence, triggering some corrective actions, such as beam reranking at...