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Found 4 papers, 1 papers with code
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
Scaling reasoning capabilities beyond traditional domains such as math and coding is hindered by the lack of diverse and high-quality questions.
LLM Pretraining with Continuous Concepts
We propose Continuous Concept Mixing (CoCoMix), a novel pretraining framework that combines discrete next token prediction with continuous concepts.
Self-Consistency Preference Optimization
Self-alignment, whereby models learn to improve themselves without human annotation, is a rapidly growing research area.
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
When a neural language model (LM) is adapted to perform a new task, what aspects of the task predict the eventual performance of the model?
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