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Home/Authors/Shihao Ji

Shihao Ji

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2ML×1

Frequent co-authors

Zihui Song2×
Mingyu Li2×
Haotao Tan1×

Research Timeline

2026
Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification

The paper introduces Expected Value Alignment (EVA), a novel reward modeling procedure that allows continuous scoring of intermediate reasoning steps in formal mathematics verification while maintaining the discrete, textual output format of generative models.

Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context

Soft-NBCE introduces soft entropy-weighted chunk fusion to overcome the semantic fragmentation caused by hard chunk selection in long-context LLMs, significantly improving performance on multi-hop benchmarks.

Highlighted terms show continued research focus across papers

Papers

cs.AIRecentMay 31, 2026

Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification

Shihao Ji, Haotao Tan, Zihui Song, Mingyu Li

The paper introduces Expected Value Alignment (EVA), a novel reward modeling procedure that allows continuous scoring of intermediate reasoning steps in formal mathematics verification while maintaini…

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cs.LGcs.AIRecentMay 31, 2026

Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context

Shihao Ji, Mingyu Li, Zihui Song

Soft-NBCE introduces soft entropy-weighted chunk fusion to overcome the semantic fragmentation caused by hard chunk selection in long-context LLMs, significantly improving performance on multi-hop ben…

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