Author

Fangcong Yin

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#natural language process... Jun 2026

Randomized YaRN Improves Length Generalization for Long-Context Reasoning

Randomized YaRN is proposed, a training method that improves length generalization by combining YaRN-based positional extrapolation with randomized positional encoding and a length curriculum, and suggests that progressively exposing models to OOD positional distributions provides an effective recipe for generalizable...

Manas Mehta, Fangcong Yin, Greg Durrett · arXiv.org · 0 citations

#artificial intelligence May 2025

Learning Composable Chains-of-Thought

It is found that simply training models on CoT data of atomic tasks leads to limited generalization, but minimally modifying CoT formats of constituent atomic tasks to be composable can lead to improvements.

Fangcong Yin, Zeyu Liu, Liu Leqi et al. · arXiv.org · 1 citation

Preprint Aug 2026

When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMs

This work introduces CALVER (Causal Axiom-Level VERification), a training-free symbolic verifier that scores structured traces against Pearl's causal criteria, including -separation, backdoor adjustment, and intervention, and selects the highest-scoring candidate without consulting a reference answer.

Omatharv Bharat Vaidya, C. Jerzak, Zayne Sprague et al. · 0 citations