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Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
2024Zhe Chen, Weiyun Wang et al.
[2]
How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments
2024Yusuke Ide, Yuto Nishida et al.
[3]
Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models
2024Carina Kauf, Emmanuele Chersoni et al.
[4]
Language models align with human judgments on key grammatical constructions
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Evaluating Grammatical Well-Formedness in Large Language Models: A Comparative Study with Human Judgments
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[6]
Improved Baselines with Visual Instruction Tuning
2023Haotian Liu, Chunyuan Li et al.
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Deep Learning and Linguistic Representation
2021Shalom Lappin
[8]
How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in Context
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[9]
The Influence of Context on Sentence Acceptability Judgements
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