---
title: "Who cites Daling Wang — 47 papers of our library"
description: "47 papers of the Elamur Research library cite the works of Daling Wang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/daling-wang/cited-by/"
---
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# Who cites Daling Wang

47 citations of their works from 47 papers of our library (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/)

1. **[Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bin Liang, Chenwei Lou, Xiang Li, et al.*2022 · 172 citations*
2. **[Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2021 · 90 citations*
3. [**Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities arXiv:2408.07666**Enneng Yang, Li Shen, Guibing Guo, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-model-merging-llms-mllms-methods/)
4. **[Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection](https://md.research.elamur.ai/free/en/papers/oberlander-2020-token-sequence-labeling-vs-clause/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Laura Ana Maria Oberländer, Roman Klinger*2020 · 24 citations*
5. **[Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2026-stop-when-enough-adaptive-early/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Renliang Sun, Wei Cheng, Dawei Li, et al.*2026 · 7 citations*
6. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Hao Gu, Hongming Piao, et al.*2026 · 3 citations*
7. **[Why Do More Experts Fail? A Theoretical Analysis of Model Merging](https://md.research.elamur.ai/free/en/papers/wang-2026-why-do-more-experts-fail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijing Wang, Xingle Xu, YongKang Liu, et al.*2026 · 2 citations*
8. **[Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation](https://md.research.elamur.ai/free/en/papers/shangguan-2026-resource-limited-joint-multimodal-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haonan Shangguan, Xiaocui Yang, Shi Feng, et al.*2026 · 1 citation*
9. **[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-ration-entropy-driven-task-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingle Xu, Fanheng Kong, Dexian Cai, et al.*2026*

38 more citing papers of our library have no page here yet.

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