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cs.CL2026
Rewarding Novel Deductions: Solver-guided Process Supervision for Logical Reasoning
Muhammad Asif Ali, Wenqing Wang, Huan Wang +1
Logical reasoning remains a major challenge for large language models (LLMs), particularly on structured problems that require precise constraint tracking, consistency preservation…
cs.CL2026
Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning
Raman Saparkhan, Majd Hawasly, Md Rizwan Parvez +1
Self-consistency (SC) is a popular technique for improving the reasoning accuracy of large language models by aggregating multiple sampled outputs, but it comes at a high computati…