Amanda Hughes
2 indexed papers
Recent (6 mo)
2With code
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226
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AI×2ML×2
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Research Timeline
2026
LARK: Learnability-Grounded Trajectory Selection for Efficient Reasoning Distillation
LARK introduces a novel learnability-grounded approach for selecting reasoning trajectories, significantly improving the efficiency of reasoning distillation by prioritizing trajectories that the student model can learn from.
TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation
TIGER is an inference-time framework that uses graph-based evidence routing to independently assess and repair unsupported facts (hallucinations) in multimodal generation.
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Papers
cs.AIcs.LGRecentMay 29, 2026
TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation
Kaixiang Zhao, Tianrun Yu, Shawn Huang, Porter Jenkins +2 more
TIGER is an inference-time framework that uses graph-based evidence routing to independently assess and repair unsupported facts (hallucinations) in multimodal generation.
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cs.LGcs.AIRecentMay 28, 2026