Large Language Model
Aligner: Efficient Alignment by Learning to Correct
Neural Information Processing Systems
Aligner can be applied to any powerful, large-scale upstream models. Moreover, it can even iteratively bootstrap the upstream models using corrected responses as synthetic human preference data, breaking through the model's performance ceiling.
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nullnullnullnullnullnullnullnull: A Benchmark for Parsing Ambiguous Questions into Database Queries
Neural Information Processing Systems
In each case, the ambiguity persists even when the database context is provided.
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Mind Eye of LLMs: Visualization of Thought Elicits
Neural Information Processing Systems
However, their abilities in spatial reasoning, a crucial aspect of human cognition, remain relatively unexplored.
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