---
title: "Who cites Hua Ren Wu — page 4 — 2,904 papers of our library"
description: "2,904 papers of the Elamur Research library cite the works of Hua Ren Wu, found in their bibliographies · page 4 of 5 · 301–400; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/hua-ren-wu/cited-by/page/4/"
---
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# Who cites Hua Ren Wu

3,374 citations of their works from 2,904 papers of our library (of the 149,439 whose bibliographies we read) · 436 with a page here, the most cited first · page 4 of 5 · 301–400 · [← Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/)

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301. [**ERNIE-Doc: A Retrospective Long-Document Modeling Transformer arXiv:2012.15688**Siyu Ding, Junyuan Shang, Shuohuan Wang, et al.*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ding-2020-ernie-doc-retrospective-long/)
302. [**IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions**Wenhao Yu, Meng Jiang, Peter Clark, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-ifqa-dataset-open-domain-question/)
303. **[OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-openrubrics-scalable-synthetic-rubric-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianci Liu, Ran Xu, Tony Yu, et al.*2026 · 25 citations*
304. **[TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems](https://md.research.elamur.ai/free/en/papers/jiang-2025-tc-rag-turing-complete-rag/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinke Jiang, Yue Fang, Rihong Qiu, et al.*2025 · 25 citations*
305. [**Sentiment Analysis through LLM Negotiations arXiv:2311.01876**Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-sentiment-analysis-through-llm-negotiations/)
306. **[Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling](https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan*2021 · 25 citations*
307. **[Is this Dialogue Coherent? Learning from Dialogue Acts and Entities](https://md.research.elamur.ai/free/en/papers/cervone-2020-is-this-dialogue-coherent-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Alessandra Cervone, Giuseppe Riccardi*2020 · 24 citations*
308. **[Compositionality and Sentence Meaning: Comparing Semantic Parsing and Transformers on a Challenging Sentence Similarity Dataset](https://md.research.elamur.ai/free/en/papers/fodor-2025-compositionality-sentence-meaning-comparing-semantic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**James Fodor, Simon De Deyne, Shinsuke Suzuki*2025 · 22 citations*
309. [**Scaling Latent Reasoning via Looped Language Models arXiv:2510.25741**Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/)
310. [**Rewarding Chatbots for Real-World Engagement with Millions of Users arXiv:2303.06135**Robert Irvine, Douglas Boubert, Vyas Raina, et al.*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/irvine-2023-rewarding-chatbots-real-world-engagement/)
311. [**ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding arXiv:2010.12148**Dongling Xiao, Yu-Kun Li, Han Zhang, et al.*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2020-ernie-gram-pre-training/)
312. **[AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/alghamdi-2023-aramus-pushing-limits-data-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Asaad Alghamdi, Xinyu Duan, Wei Jiang, et al.*2023 · 21 citations*
313. **[ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-connprompt-connective-cloze-prompt-learning/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wei Xiang, Zhenglin Wang, Lu Dai, et al.*2022 · 21 citations*
314. **[TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks](https://md.research.elamur.ai/free/en/papers/long-2020-ted-cdb-large-scale-chinese/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wanqiu Long, Bonnie Webber, Deyi Xiong*2020 · 21 citations*
315. [**MindSearch: Mimicking Human Minds Elicits Deep AI Searcher arXiv:2407.20183**Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-mindsearch-mimicking-human-minds-elicits/)
316. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuai Zhang, Feihu Che, et al.*2025 · 19 citations*
317. **[The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design](https://md.research.elamur.ai/free/en/papers/snegirev-2025-russian-focused-embedders-exploration-rumteb/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Artem Snegirev, Maria Tikhonova, Maksimova Anna, et al.*2025 · 19 citations*
318. **[Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains](https://md.research.elamur.ai/free/en/papers/tan-2025-think-silently-think-fast-dynamic/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.*2025 · 19 citations*
319. **[Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering](https://md.research.elamur.ai/free/en/papers/tang-2025-unlocking-general-long-chain-thought/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Tang, Xiaolei Wang, Zhihao Lv, et al.*2025 · 19 citations*
320. **[Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models](https://md.research.elamur.ai/free/en/papers/min-2024-synergetic-event-understanding-collaborative-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.*2024 · 19 citations*
321. **[Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations*
322. [**Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response arXiv:2003.11523**Alp Oktem; Mirko Plitt;, Grace Tang*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/oktem-2020-tigrinya-neural-machine-translation-transfer/)
323. [**Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions**Reshef Shilon, Nizar Habash, Alon Lavie, et al.*2010 · 17 citations*](https://md.research.elamur.ai/free/en/papers/shilon-2010-machine-translation-between-hebrew-arabic/)
324. **[New Trends for Modern Machine Translation with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-new-trends-modern-machine-translation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.*2026 · 16 citations*
325. **[Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger](https://md.research.elamur.ai/free/en/papers/li-2025-adaptive-tool-use-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjun Li, Dexun Li, Kuicai Dong, et al.*2025 · 16 citations*
326. **[Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking](https://md.research.elamur.ai/free/en/papers/chen-2025-inner-thinking-transformer-leveraging-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilong Chen, Junyuan Shang, Zhenyu Zhang, et al.*2025 · 16 citations*
327. [**JABER and SABER: Junior and Senior Arabic BERt arXiv:2112.04329**Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2021-jaber-saber-junior-senior-arabic/)
328. **[FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/jiang-2026-foe-forest-errors-makes-first/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.*2026 · 15 citations*
329. **[Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-unlocking-exploration-rlvr-uncertainty-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Can Xie, Ruotong Pan, Xiangyu Wu, et al.*2026 · 15 citations*
330. **[X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaqian Han, Yekun Chai, Shuohuan Wang, et al.*2022 · 15 citations*
331. **[FBS: Modeling Native Parallel Reading inside a Transformer](https://md.research.elamur.ai/free/en/papers/wang-2026-fbs-modeling-native-parallel-reading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tongxi Wang*2026 · 14 citations*
332. **[Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective](https://md.research.elamur.ai/free/en/papers/zeng-2025-knowledge-checking-retrieval-augmented-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shenglai Zeng, Jiankun Zhang, Bingheng Li, et al.*2025 · 14 citations*
333. **[A Semantic Search Engine for Mathlib4](https://md.research.elamur.ai/free/en/papers/gao-2024-semantic-search-engine-mathlib4/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guoxiong Gao, Haocheng Ju, Jiedong Jiang, et al.*2024 · 14 citations*
334. **[Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/erdmann-2017-low-resourced-machine-translation-morpho/) [Machine Translation Summit (MT Summit)](https://md.research.elamur.ai/free/en/venues/mtsummit/)**Alexander Erdmann, Nizar Habash, Dima Taji, et al.*2017 · 14 citations*
335. **[NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons](https://md.research.elamur.ai/free/en/papers/dong-2026-neureasoner-explainable-controllable-unified-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haonan Dong, Kehan Jiang, Haoran Ye, et al.*2026 · 13 citations*
336. **[Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*2022 · 13 citations*
337. [**DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications arXiv:2004.11142**Hongxuan Tang, Hongyu Li, Jing Liu, et al.*2020 · 13 citations*](https://md.research.elamur.ai/free/en/papers/tang-2020-dureader-robust-chinese-dataset/)
338. **[Empowering GraphRAG with Knowledge Filtering and Integration](https://md.research.elamur.ai/free/en/papers/guo-2025-empowering-graphrag-knowledge-filtering-integration/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Guo, Harry Shomer, Shenglai Zeng, et al.*2025 · 12 citations*
339. **[DeepTrans: Deep Reasoning Translation via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-deeptrans-deep-reasoning-translation-reinforcement/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaan Wang, Fandong Meng, Jie Zhou*2026 · 11 citations*
340. **[Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-step-potential-advantage-estimation-harnessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fei Wu, Zhenrong Zhang, Qikai Chang, et al.*2026 · 11 citations*
341. **[Understanding LLM Reasoning for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-understanding-llm-reasoning-abstractive-summarization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haohan Yuan, Haopeng Zhang*2026 · 11 citations*
342. [**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/)
343. **[Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery](https://md.research.elamur.ai/free/en/papers/feng-2023-less-is-more-mitigate-spurious/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tao Feng, Lizhen Qu, Gholamreza Haffari*2023 · 11 citations*
344. **[Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model](https://md.research.elamur.ai/free/en/papers/yu-2025-beyond-dialogue-profile-dialogue-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yeyong Yu, Runsheng Yu, Haojie Wei, et al.*2025 · 10 citations*
345. **[DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking](https://md.research.elamur.ai/free/en/papers/li-2025-deepsolution-boosting-complex-engineering-solution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuoqun Li, Haiyang Yu, Xuanang Chen, et al.*2025 · 10 citations*
346. [**Implicit Reasoning in Large Language Models: A Comprehensive Survey arXiv:2509.02350**Jindong Li, Yali Fu, Li Fan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/)
347. **[Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information](https://md.research.elamur.ai/free/en/papers/chen-2025-improving-reasoning-capabilities-small-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.*2025 · 10 citations*
348. [**Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding arXiv:2410.01671**Yanming Liu, Xinyue Peng, Jiannan Cao, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-bridging-context-gaps-leveraging-coreference/)
349. [**Historical Text Normalization with Delayed Rewards**Simon Flachs, Marcel Bollmann, Anders Søgaard*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/flachs-2019-historical-text-normalization-delayed-rewards/)
350. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.*2026 · 9 citations*
351. **[Reinforced Efficient Reasoning via Semantically Diverse Exploration](https://md.research.elamur.ai/free/en/papers/zhao-2026-reinforced-efficient-reasoning-semantically-diverse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqi Zhao, Zhaochun Ren, Jiahong Zou, et al.*2026 · 9 citations*
352. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.*2025 · 9 citations*
353. **[StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs](https://md.research.elamur.ai/free/en/papers/yuan-2025-strucsum-graph-structured-reasoning-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haohan Yuan, Sukhwa Hong, Haopeng Zhang*2025 · 9 citations*
354. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding arXiv:2205.10687**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/)
355. [**SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic Knowledge**Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/)
356. [**Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning**Bill Noble, Vladislav Maraev*2021 · 7 citations*](https://md.research.elamur.ai/free/en/papers/noble-2021-large-scale-text-pre-training/)
357. **[Dissecting Failure Dynamics in Large Language Model Reasoning](https://md.research.elamur.ai/free/en/papers/zhu-2026-dissecting-failure-dynamics-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Zhu, Jian Zhang, Lixing Yu, et al.*2026 · 6 citations*
358. **[Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/tan-2026-scaling-behaviors-llm-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zelin Tan, Hejia Geng, Xiaohang Yu, et al.*2026 · 6 citations*
359. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Wei, Liang Pang, Jiahao Liu, et al.*2026 · 6 citations*
360. **[Acquiring Linguistic Knowledge from Multimodal Input](https://md.research.elamur.ai/free/en/papers/amariucai-2023-acquiring-linguistic-knowledge-multimodal-input/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Theodor Amariucai, Alexander Scott Warstadt*2023 · 6 citations*
361. **[Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*2023 · 6 citations*
362. **[Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic](https://md.research.elamur.ai/free/en/papers/pavlova-2023-leveraging-domain-adaptation-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Vera Pavlova*2023 · 6 citations*
363. [**Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media arXiv:2206.08407**Abdelkader El Mahdaouy, Abdellah El Mekki, Ahmed Oumar, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-deep-multi-task-models-misogyny/)
364. **[Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation](https://md.research.elamur.ai/free/en/papers/cheng-2026-mem-2-evolve-self-evolving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Cheng, Zeming Liu, Yingyu Shan, et al.*2026 · 5 citations*
365. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chengkai Huang, Yu Xia, Rui Wang, et al.*2025 · 5 citations*
366. **[Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach](https://md.research.elamur.ai/free/en/papers/zeng-2025-context-robust-llms-gated-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Pengfei He, Kai Guo, et al.*2025 · 5 citations*
367. [**Baichuan Alignment Technical Report arXiv:2410.14940**Mingan Lin, Fan Yang, Yanjun Shen, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-baichuan-alignment-technical-report/)
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