---
title: "Wei Wang — all works — Elamur Research"
description: "All 27 works of Wei Wang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/wei-wang/works/"
---
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# Wei Wang — all works

27 works · [← Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/)

1. **[Language-agnostic BERT Sentence Embedding](https://md.research.elamur.ai/free/en/papers/feng-2020-language-agnostic-bert-sentence-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.*2020 · 1,413 citations*
2. [**Scalable Inference and Training of Context-Rich Syntactic Translation Models**Michel Galley, Jonathan Graehl, Kevin Knight, et al.*Machine translation · 638 citations*](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/)
3. **[Learning Gender-Neutral Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 520 citations*
4. **[Two-Stream Convolution Augmented Transformer for Human Activity Recognition ↗](https://doi.org/10.1609/aaai.v35i1.16103) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Bing Li et al.*2021 · 224 citations*
5. [**RRHF: Rank Responses to Align Language Models with Human Feedback without tears arXiv:2304.05302**Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-rrhf-rank-responses-align-language/)
6. **[Multi-Source Cross-Lingual Model Transfer: Learning What to Share](https://md.research.elamur.ai/free/en/papers/chen-2019-multi-source-cross-lingual-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, et al.*2019 · 162 citations*
7. [**SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models arXiv:2307.10635**Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scibench-evaluating-college-level-scientific/)
8. **[How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Hongyi Yuan, Keming Lu, et al.*2024 · 145 citations*
9. **[InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xintao Wang, Yunze Xiao, Jen-tse Huang, et al.*2024 · 121 citations*
10. **[GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data ↗](https://aclanthology.org/P18-1151/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Bayu Distiawan Trisedya et al.*2018 · 116 citations*
11. **[Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2018-denoising-neural-machine-translation-training/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Wei Wang, Taro Watanabe, Macduff Hughes, et al.*2018 · 114 citations*
12. **[SPMT: Statistical Machine Translation with Syntactified Target Language Phrases](https://md.research.elamur.ai/free/en/papers/marcu-2006-spmt-statistical-machine-translation-syntactified/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniel Marcu, Wei Wang, Abdessamad Echihabi, et al.*2006 · 96 citations*
13. **[FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2024-followbench-multi-level-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxin Jiang, Yufei Wang, Xingshan Zeng, et al.*2024 · 86 citations*
14. **[Lion: Adversarial Distillation of Proprietary Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2023-lion-adversarial-distillation-proprietary-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuxin Jiang, Chunkit Chan, Mingyang Chen, et al.*2023 · 70 citations*
15. **[Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation ↗](https://doi.org/10.1109/cvpr52729.2023.02363) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bo Huang et al.*2023 · 57 citations*
16. **[DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis ↗](https://doi.org/10.1109/tpami.2023.3293516) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Bing Li et al.*2023 · 50 citations*
17. **[Learning to Edit: Aligning LLMs with Knowledge Editing](https://md.research.elamur.ai/free/en/papers/jiang-2024-learning-edit-aligning-llms-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.*2024 · 39 citations*
18. **[Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/jiang-2023-global-local-hierarchy-aware-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxin Jiang, Linhan Zhang, Wei Wang*2023 · 28 citations*
19. **[You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations](https://md.research.elamur.ai/free/en/papers/na-2026-you-never-know-person-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongbin Na, Zimu Wang, Zhaoming Chen, et al.*2026 · 15 citations*
20. **[DataSciBench: An LLM Agent Benchmark for Data Science](https://md.research.elamur.ai/free/en/papers/zhang-2026-datascibench-llm-agent-benchmark-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Zhang, Sining Zhoubian, Min Cai, et al.*2026 · 13 citations*
21. **[Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations](https://md.research.elamur.ai/free/en/papers/na-2026-overview-psydefdetect-shared-task-bionlp/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hongbin Na, Zimu Wang, Zhaoming Chen, et al.*2026 · 13 citations*
22. **[QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-qcrd-quality-guided-contrastive-rationale/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Wang, Zhaowei Li, Qi Xu, et al.*2025 · 13 citations*
23. [**EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models arXiv:2402.11430**Jun Gao, Huan Zhao, Wei Wang, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-eventrl-enhancing-event-extraction-outcome/)
24. **[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*
25. **[EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence](https://md.research.elamur.ai/free/en/papers/she-2026-echovlm-dynamic-mixture-experts-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaoyin She, Ruifang Lu, Lida Chen, et al.*2026 · 1 citation*
26. **[Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression](https://md.research.elamur.ai/free/en/papers/sun-2026-beyond-sentence-level-labels-integrating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Sun, Chenyang Le, Wei Wang, et al.*2026*
27. **[Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing](https://md.research.elamur.ai/free/en/papers/wang-2026-federated-lora-fine-tuning-pipelined/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Wang, Xiong Wang, Yuqing Li, et al.*2026*