DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering

@article{xujia2026,
  title = {DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering},
  author = {Wang, Xujia and Zhang, Yizhe and Xu, Bin and Hou, Lei and Li, Juanzi},
  journal = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year = {2026},
  month = {Jan},
  doi = {10.18653/2026.findings-emnlp.961},
  url = {https://doi.org/10.18653/2026.findings-emnlp.961},
}

Wang, Xujia et al. (2026). DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering. Findings of the Association for Computational Linguistics: EMNLP 2026. https://doi.org/10.18653/2026.findings-emnlp.961

Wang, Xujia, et al.. "DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering." Findings of the Association for Computational Linguistics: EMNLP 2026, 2026, https://doi.org/10.18653/2026.findings-emnlp.961.

Wang, Xujia, et al.. "DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering." Findings of the Association for Computational Linguistics: EMNLP 2026 (2026). https://doi.org/10.18653/2026.findings-emnlp.961

Wang, Xujia et al., 2026. DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering. Findings of the Association for Computational Linguistics: EMNLP 2026. Available at: <https://doi.org/10.18653/2026.findings-emnlp.961>.

TY  - JOUR
TI  - DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering
AU  - Wang, Xujia
AU  - Zhang, Yizhe
AU  - Xu, Bin
AU  - Hou, Lei
AU  - Li, Juanzi
PY  - 2026
JO  - Findings of the Association for Computational Linguistics: EMNLP 2026
DO  - 10.18653/2026.findings-emnlp.961
UR  - https://doi.org/10.18653/2026.findings-emnlp.961
ER  -