Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models (2026 · 2 citations)
Large language models often carry a Western-leaning cultural bias. Existing cultural alignment methods, such as persona prompting or fine-tuning on value surveys like WVS, have two weaknesses. Broad value data transfers poorly to concrete culture-sensitive tasks such as offensive language detection. Training one…
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs (2026 · 1 citation)
Once deployed, LLMs cannot easily absorb new or corrected facts. Retraining is expensive. Weight-editing methods tend to collapse as edits pile up, especially with long, free-form knowledge rather than subject–relation–object triples. The authors propose RILKE, which keeps the base model frozen and instead edits…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binchi Zhang, Xujiang Zhao, Jundong Li, et al.2026 · 2 citations
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.2026 · 1 citation
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetWangyang Ying et al.2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLinlin Yu et al.2026
LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetBinchi Zhang et al.2026

Co-authors here

4 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Annual Meeting of the Association for Computational Linguistics (ACL) ×4: ACL 2026 ×2
Findings of the Association for Computational Linguistics: EACL 2026

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 31 October 2026