From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval

@article{shuai2026,
  title = {From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval},
  author = {Qin, Shuai and An, Guojia and Guo, Weikang and Ke, Pei and Wei, Jiwei and Yang, Yang and Zou, Jie},
  journal = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year = {2026},
  month = {Jan},
}

Qin, Shuai et al. (2026). From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval. Findings of the Association for Computational Linguistics: EMNLP 2026.

Qin, Shuai, et al.. "From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval." Findings of the Association for Computational Linguistics: EMNLP 2026, 2026.

Qin, Shuai, et al.. "From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval." Findings of the Association for Computational Linguistics: EMNLP 2026 (2026).

Qin, Shuai et al., 2026. From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval. Findings of the Association for Computational Linguistics: EMNLP 2026.

TY  - JOUR
TI  - From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval
AU  - Qin, Shuai
AU  - An, Guojia
AU  - Guo, Weikang
AU  - Ke, Pei
AU  - Wei, Jiwei
AU  - Yang, Yang
AU  - Zou, Jie
PY  - 2026
JO  - Findings of the Association for Computational Linguistics: EMNLP 2026
ER  -