Multimodal ICL lags text-only ICL in few-shot settings due to weak cross-modal reasoning alignment and unreliable task mapping transfer, with an inference-stage method proposed to strengthen transfer.
uttler, Mike Lewis, Wen-tau Yih, Tim Rockt
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Litmus (Re)Agent, a structured agentic system, outperforms baselines in predicting multilingual model performance from incomplete evidence on a new controlled benchmark.
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Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks
Multimodal ICL lags text-only ICL in few-shot settings due to weak cross-modal reasoning alignment and unreliable task mapping transfer, with an inference-stage method proposed to strengthen transfer.
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Litmus (Re)Agent: A Benchmark and Agentic System for Predictive Evaluation of Multilingual Models
Litmus (Re)Agent, a structured agentic system, outperforms baselines in predicting multilingual model performance from incomplete evidence on a new controlled benchmark.