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Home/Authors/Mohit Singh Chauhan

Mohit Singh Chauhan

2 indexed papers

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

Publications per year

2
26

Top categories

NLP×2AI×1ML×1

Frequent co-authors

Dylan Bouchard1×
Zeya Ahmad1×
Ho-Kyeong Ra1×

Research Timeline

2026
Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification

The paper introduces functional entropy, a code-specific uncertainty quantification method, which successfully predicts functional correctness in LLM-generated code by replacing natural language semantic equivalence with functional equivalence assessment.

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations

The paper introduces the DECK taxonomy, a novel framework that classifies LLM hallucinations not by their content error, but by their detectability signature based on inter-sample consistency and token-level confidence.

Highlighted terms show continued research focus across papers

Papers

cs.CLRecentJun 1, 2026

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations

Mohit Singh Chauhan

The paper introduces the DECK taxonomy, a novel framework that classifies LLM hallucinations not by their content error, but by their detectability signature based on inter-sample consistency and toke…

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cs.CLcs.AIcs.LGRecentMay 27, 2026

Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification

Dylan Bouchard, Mohit Singh Chauhan, Zeya Ahmad, Ho-Kyeong Ra

The paper introduces functional entropy, a code-specific uncertainty quantification method, which successfully predicts functional correctness in LLM-generated code by replacing natural language seman…

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