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cs.CL2025
Self-supervised Analogical Learning using Language Models
Ben Zhou, Sarthak Jain, Yi Zhang +4
Large language models have been shown to suffer from reasoning inconsistency issues. That is, they fail more in situations unfamiliar to the training data, even though exact or ver…
cs.CL2024
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
Fei Wang, Chao Shang, Sarthak Jain +6
User alignment is crucial for adapting general-purpose language models (LMs) to downstream tasks, but human annotations are often not available for all types of instructions, espec…