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Autopsv: Automated process-supervised verifier
In this work, we propose a novel method named\textbf {Auto} mated\textbf {P} rocess-\textbf
{S} upervised\textbf {V} erifier (\textbf {\textsc {AutoPSV}}) to enhance the reasoning …
{S} upervised\textbf {V} erifier (\textbf {\textsc {AutoPSV}}) to enhance the reasoning …
Learning from correctness without prompting makes LLM efficient reasoner
Large language models (LLMs) have demonstrated outstanding performance across various
tasks, yet they still exhibit limitations such as hallucination, unfaithful reasoning, and toxic …
tasks, yet they still exhibit limitations such as hallucination, unfaithful reasoning, and toxic …
Formal mathematical reasoning: A new frontier in ai
AI for Mathematics (AI4Math) is not only intriguing intellectually but also crucial for AI-driven
discovery in science, engineering, and beyond. Extensive efforts on AI4Math have mirrored …
discovery in science, engineering, and beyond. Extensive efforts on AI4Math have mirrored …
Beyond Limited Data: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
A fundamental challenge in formal theorem proving by LLMs is the lack of high-quality
training data. Although reinforcement learning or expert iteration partially mitigates this issue …
training data. Although reinforcement learning or expert iteration partially mitigates this issue …
Diverse Inference and Verification for Advanced Reasoning
Reasoning LLMs such as OpenAI o1, o3 and DeepSeek R1 have made significant progress
in mathematics and coding, yet find challenging advanced tasks such as International …
in mathematics and coding, yet find challenging advanced tasks such as International …