Papers with likelihood ratio test
A Likelihood Ratio Test of Genetic Relationship among Languages (2024.naacl-long)
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| Challenge: | Existing tests of significance for bilateral comparisons are infeasible by design or yield false positives when applied to groups of languages or language families. |
| Approach: | They propose a likelihood ratio test to determine if given languages are related based on the proportion of invariant character sites in aligned wordlists. |
| Outcome: | The proposed test solves the problem of false positives on some language families. |
Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions (2026.acl-long)
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Ruochong Xiong, Qien Li, Wangwang Lian, Yulong Wan, Hanlin Xue, Zhouxing Tan, Han Yang, Fengyu Lu, Junfei Liu
| Challenge: | Existing methods for detecting LLM-Generated text suffer from distribution misalignment and limited interpretability. |
| Approach: | They propose a statistical framework utilizing supervised subspace learning to extract compact features and construct conditional semantic distributions based on syntactic structures. |
| Outcome: | The proposed framework is superior in cross-domain, cross-model, and adversarial scenarios. |