Correct Answers Often Fail to Prove Genuine Multi-Hop Reasoning

Behavioral interventions reveal whether models actually depend on every evidence step that a benchmark claims is necessary.

Chinese Tech
Jiawen Tao · Xiaokun Yuan · Yaoming Li · Chenxu Liu · Mengzhou Wu · Tong Yang · +1 more

Hunyuan Team Tencent · Peking University

Research Digest··3 min read
Tao et al.

The authors define the Behavioral Necessity Rate (BNR), the proportion of initially correct cases in which deleting targeted evidence prevents a model from recovering the answer.

Why this paper

From Hunyuan Team Tencent and Peking University

In one line

Correct answers often bypass intended multi-hop reasoning chains, while evidence-deletion auditing and REALHOP produce evaluations that depend on every annotated hop.

What we could check

  • ·No code link found
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  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks (5 benchmarks)

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