---
title: "Who cites Yupeng Hou — page 3 — 1,401 papers of our library"
description: "1,401 papers of the Elamur Research library cite the works of Yupeng Hou, found in their bibliographies · page 3 of 4 · 201–300; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/yupeng-hou/cited-by/page/3/"
---
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# Who cites Yupeng Hou

1,411 citations of their works from 1,401 papers of our library (of the 149,439 whose bibliographies we read) · 317 with a page here, the most cited first · page 3 of 4 · 201–300 · [← Yupeng Hou](https://md.research.elamur.ai/free/en/authors/yupeng-hou/)

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201. **[GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2025-gracore-benchmarking-graph-comprehension-complex/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zike Yuan, Ming Liu, Hui Wang, et al.*2025 · 9 citations*
202. **[PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-perm-psychology-grounded-empathetic-reward/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengbing Wang, Wuqiang Zheng, Yang Zhang, et al.*2026 · 8 citations*
203. **[A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-survey-large-language-models-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqing Wang, Kexin Zhang, Zihan Zhao, et al.*2026 · 7 citations*
204. **[MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance Detection](https://md.research.elamur.ai/free/en/papers/alghaslan-2024-mgkm-stanceeval2024-fine-tuning-large/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mamoun Alghaslan, Khaled Almutairy*2024 · 7 citations*
205. [**ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development**Yanir Marmor, Kinneret Misgav, Yair Lifshitz*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/marmor-2023-ivrit-ai-comprehensive-dataset-hebrew/)
206. **[Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text](https://md.research.elamur.ai/free/en/papers/mohamed-2026-lost-mix-evaluating-llm-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Mohamed, Yang Zhang, Michalis Vazirgiannis, et al.*2026 · 6 citations*
207. **[Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models](https://md.research.elamur.ai/free/en/papers/xue-2026-why-supervised-fine-tuning-fails/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chao Xue, Yao Wang, Mengqiao Liu, et al.*2026 · 6 citations*
208. [**Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English arXiv:2503.04099**Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-disparities-llm-reasoning-accuracy-explanations/)
209. **[PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation](https://md.research.elamur.ai/free/en/papers/zhang-2025-proper-progressive-learning-framework-personalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linhai Zhang, Jialong Wu, Deyu Zhou, et al.*2025 · 6 citations*
210. **[Multilingual coreference resolution as text generation](https://md.research.elamur.ai/free/en/papers/skachkova-2024-multilingual-coreference-resolution-as-text/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Natalia Skachkova*2024 · 6 citations*
211. **[Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tian-2026-beyond-literal-mapping-benchmarking-improving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al.*2026 · 5 citations*
212. **[Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm](https://md.research.elamur.ai/free/en/papers/li-2025-add-one-incremental-sample-selection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhuo Li, Yuhao Du, Xiaoqi Jiao, et al.*2025 · 5 citations*
213. **[Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy](https://md.research.elamur.ai/free/en/papers/na-2026-multi-session-client-centered-treatment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hongbin Na, Tao Shen, Shumao Yu, et al.*2026 · 4 citations*
214. **[Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards](https://md.research.elamur.ai/free/en/papers/tang-2026-rethinking-sample-polarity-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Tang, Yuliang Zhan, Zhixun Li, et al.*2026 · 4 citations*
215. **[Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/lei-2026-writing-rl-advancing-long-form/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuanyu Lei, Chenliang Li, Yuning Wu, et al.*2026 · 4 citations*
216. **[MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training](https://md.research.elamur.ai/free/en/papers/huang-2025-musc-improving-complex-instruction-following/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Huang, Jiaheng Liu, Yancheng He, et al.*2025 · 4 citations*
217. **[MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis](https://md.research.elamur.ai/free/en/papers/yu-2026-mathagent-adversarial-evolution-constraint-graphs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixiong Yu, Jun Rao, Guhan Chen, et al.*2026 · 3 citations*
218. **[SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe](https://md.research.elamur.ai/free/en/papers/xiao-2026-sftmix-elevating-language-model-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, et al.*2026 · 3 citations*
219. **[TreeDiff: AST-Guided Code Generation with Diffusion LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-treediff-ast-guided-code-generation/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Yiming Zeng, Jinghan Cao, Zexin Li, et al.*2026 · 3 citations*
220. **[AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation](https://md.research.elamur.ai/free/en/papers/luo-2026-agsc-adaptive-granularity-semantic-clustering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanran Luo, Wentao Qiu, Wanru Zhao, et al.*2026 · 2 citations*
221. **[Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error Correction](https://md.research.elamur.ai/free/en/papers/zou-2026-benchmarking-large-language-models-chinese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yuchun Zou, Tedd Lee, Xiaodi Fan, et al.*2026 · 2 citations*
222. **[K-Merge: Online Continual Merging of Adapters for On-device Large Language Models](https://md.research.elamur.ai/free/en/papers/shenaj-2026-k-merge-online-continual-merging/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Donald Shenaj, Ondrej Bohdal, Taha Ceritli, et al.*2026 · 2 citations*
223. **[Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-reinforced-informativeness-optimization-long-form/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhao Wang, Ruiyang Ren, Yucheng Wang, et al.*2026 · 2 citations*
224. **[ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-thinknote-enhancing-knowledge-integration-utilization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhipeng Xu, Zhenghao Liu, Yukun Yan, et al.*2026 · 2 citations*
225. [**Can Large Language Models Predict the Outcome of Judicial Decisions? arXiv:2501.09768**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kmainasi-2025-large-language-models-predict-outcome/)
226. **[CIS-RG at QIAS 2025 Shared Task: Approaches for Enhancing Performance of LLM on Islamic Legal Reasoning and its Mathematical Calculations](https://md.research.elamur.ai/free/en/papers/zaki-2025-cis-rg-qias-2025-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Farouk Zaki, Osama*2025 · 2 citations*
227. **[BOLT: Benchmarking Open-World Learning for Text Classification](https://md.research.elamur.ai/free/en/papers/qin-2026-bolt-benchmarking-open-world-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chuan Qin, Xi Chen, Jinpeng Li, et al.*2026 · 1 citation*
228. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
229. **[Diffusion-CAM: Faithful Visual Explanations for dMLLMs](https://md.research.elamur.ai/free/en/papers/zuo-2026-diffusion-cam-faithful-visual-explanations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haomin Zuo, Yidi Li, Luoxiao Yang, et al.*2026 · 1 citation*
230. **[Explainable Semantic Textual Similarity via Dissimilar Span Detection](https://md.research.elamur.ai/free/en/papers/lozano-2026-explainable-semantic-textual-similarity-dissimilar/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Diego Miguel Lozano, Daryna Dementieva, Alexander Fraser*2026 · 1 citation*
231. **[From Weights to Activations: Is Steering the Next Frontier of Adaptation?](https://md.research.elamur.ai/free/en/papers/ostermann-2026-weights-activations-is-steering-next/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.*2026 · 1 citation*
232. **[H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs](https://md.research.elamur.ai/free/en/papers/tekin-2026-h3fusion-helpful-harmless-honest-fusion/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, et al.*2026 · 1 citation*
233. **[IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation](https://md.research.elamur.ai/free/en/papers/wen-2026-if-critic-fine-grained-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bosi Wen, Yilin Niu, Cunxiang Wang, et al.*2026 · 1 citation*
234. **[IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation](https://md.research.elamur.ai/free/en/papers/wen-2026-if-rewardbench-benchmarking-judge-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bosi Wen, Yilin Niu, Cunxiang Wang, et al.*2026 · 1 citation*
235. **[Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-image-corruption-inspired-membership-inference/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zongyu Wu, Minhua Lin, Zhiwei Zhang, et al.*2026 · 1 citation*
236. **[K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and Cultures](https://md.research.elamur.ai/free/en/papers/song-2026-k-nlpers-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jiwoo Song, Sihyeong Yeom, Harksoo Kim*2026 · 1 citation*
237. **[Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following Capability](https://md.research.elamur.ai/free/en/papers/wang-2026-meeseeks-feedback-driven-iterative-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Wang, Yunke Zhao, Peng Ding, et al.*2026 · 1 citation*
238. **[MemoBrain: Executive Memory as an Agentic Brain for Reasoning](https://md.research.elamur.ai/free/en/papers/qian-2026-memobrain-executive-memory-as-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongjin Qian, Zhao Cao, Zheng Liu*2026 · 1 citation*
239. **[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.*2026 · 1 citation*
240. **[Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics](https://md.research.elamur.ai/free/en/papers/xu-2026-why-steering-works-unified-view/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Chenyan WU, Hengyu Sun, et al.*2026 · 1 citation*
241. **[Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders](https://md.research.elamur.ai/free/en/papers/agrawal-2025-rationale-guided-distillation-e-commerce/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Sanjay Agrawal, Faizan Ahemad, Vivek Varadarajan Sembium*2025 · 1 citation*
242. **[SHA at the QIAS Shared Task: LLMs for Arabic Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/altammami-2025-sha-qias-shared-task-llms/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shatha Altammami*2025 · 1 citation*
243. **[A Survey of Large Language Model-Based Search Agents](https://md.research.elamur.ai/free/en/papers/xi-2026-survey-large-language-model-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.*2026*
244. **[AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin](https://md.research.elamur.ai/free/en/papers/xiong-2026-aapo-enhancing-reasoning-capabilities-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.*2026*
245. **[Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model](https://md.research.elamur.ai/free/en/papers/wang-2026-adaptive-representative-multi-interest-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziyan Wang, Yingpeng Du, Tianjun Wei, et al.*2026*
246. [**An Investigation of Linguistic Biases in LLM-Based Recommendations arXiv:2604.25456**Nitin Venkateswaran, Jason Ang, Deep Adhikari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/venkateswaran-2026-investigation-linguistic-biases-llm-based/)
247. [**ARAFA: An LLM-Generated Arabic Fact-Checking Dataset arXiv:2609.25833**Christophe Khalil, Shady Elbassuoni, Rida Assaf*2026*](https://md.research.elamur.ai/free/en/papers/khalil-2026-arafa-llm-generated-arabic-fact/)
248. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.*2026*
249. **[Beyond Static Persona Consistency: Dynamic Persona Coherence in LLM Role-Playing](https://md.research.elamur.ai/free/en/papers/qi-2026-beyond-static-persona-consistency-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yirui QI, Xiaoming Zhang, Ruilin Zeng, et al.*2026*
250. **[Building Multi-turn Intent Classification with LLM-based Labeling](https://md.research.elamur.ai/free/en/papers/xie-2026-building-multi-turn-intent-classification/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Biancen Xie, Kaiqi Bian, Jai Ranjan Singh Gusain, et al.*2026*
251. **[Calibrating Inference Time Alignment with Sequence-level Risk Accumulation](https://md.research.elamur.ai/free/en/papers/tan-2026-calibrating-inference-time-alignment-sequence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shanwen Tan, Ziyang Dong, Wei Ju, et al.*2026*
252. **[Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical Reasoning](https://md.research.elamur.ai/free/en/papers/merenda-2026-can-llms-reason-like-doctors/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Flavio Merenda, Jose Manuel Gomez-Perez, German Rigau*2026*
253. **[CogNet-KG: Empowering Tutoring Dialogues with a Cognitively-Structured Knowledge Graph for STEM Learning](https://md.research.elamur.ai/free/en/papers/yu-2026-cognet-kg-empowering-tutoring-dialogues/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ding Yu, Yu Lu, Tengju Li, et al.*2026*
254. **[Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees](https://md.research.elamur.ai/free/en/papers/zhang-2026-controllable-contamination-detection-reliable-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zheng Zhang, Qi Liu, Siyuan Liang, et al.*2026*
255. **[COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval](https://md.research.elamur.ai/free/en/papers/peng-2026-cosmos-connectivity-oriented-submodular-maximization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boci Peng, Xiao Liu, Boren Hu, et al.*2026*
256. **[Data Foundations of Long-Context Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/sun-2026-data-foundations-long-context-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zechen Sun, Yuyang Sun, Zhaochen Su, et al.*2026*
257. **[Datasets for Scientific Literature Understanding: A Survey](https://md.research.elamur.ai/free/en/papers/zhang-2026-datasets-scientific-literature-understanding-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanzhe Zhang, Xun Zhao, Maodi Hu, et al.*2026*
258. **[De-Anonymization at Scale via Tournament-Style Attribution](https://md.research.elamur.ai/free/en/papers/zhang-2026-de-anonymization-scale-tournament-style/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lirui Zhang, Huishuai Zhang*2026*
259. **[Designing LLM Agents for User-Centered Language Service Selection](https://md.research.elamur.ai/free/en/papers/ogawa-2026-designing-llm-agents-user-centered/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ryoichiro Ogawa, Donghui Lin, Fumito Uwano*2026*
260. **[Editing the Moving World: Model Editing for Video LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-editing-moving-world-model-editing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Zhang, Xinye Li, Xiaokai Wu, et al.*2026*
261. **[EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs](https://md.research.elamur.ai/free/en/papers/satvaty-2026-el-mia-quantifying-membership-inference/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ali Satvaty, Suzan Verberne, Fatih Turkmen*2026*
262. **[ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/yoo-2026-elo-efficient-layer-specific-optimization/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hangyeol Yoo, ChangSu Choi, Minjun Kim, et al.*2026*
263. **[Entropy-aware Masking for Masked Language Modeling](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*
264. **[EvoMemKG: An Evolvable Memory Agent for Multi-hop Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/tian-2026-evomemkg-evolvable-memory-agent-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiyu Tian, Shuyue Xing, Zhuoxin Han, et al.*2026*
265. **[Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-fisher-driven-adaptive-locating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenghao Xu, Jiexi Yan, Guangtao Lyu, et al.*2026*
266. **[From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents](https://md.research.elamur.ai/free/en/papers/tan-2026-coarse-fine-self-adaptive-hierarchical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Tan, Zeyu Zhang, Chen Ma, et al.*2026*
267. **[From Personal to Collective: On the Role of Local and Global Knowledge in LLM Personalization](https://md.research.elamur.ai/free/en/papers/wang-2026-personal-collective-role-local-global/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehong Wang, Junlin Wu, Zhaoxuan Tan, et al.*2026*
268. **[From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation](https://md.research.elamur.ai/free/en/papers/wang-2026-words-pixels-comprehensive-survey-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.*2026*
269. **[GOAT: A Training Framework for Goal-Oriented Agent with Tools](https://md.research.elamur.ai/free/en/papers/min-2026-goat-training-framework-goal-oriented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyunji Min, Sangwon Jung, Junyoung Sung, et al.*2026*
270. **[How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities](https://md.research.elamur.ai/free/en/papers/xu-2026-how-controllable-are-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Kewei Xu, Haoming Xu, et al.*2026*
271. **[HumaniCA: A Benchmark Resource for the Detection of Users' Ascription of Humanness to Conversational Agents](https://md.research.elamur.ai/free/en/papers/villata-2026-humanica-benchmark-resource-detection-users/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sabrina Villata, Amon Rapp, Luigi Di Caro, et al.*2026*
272. **[ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2026-implicitmembench-measuring-unconscious-behavioral-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chonghan Qin, Xiachong Feng, Weitao Ma, et al.*2026*
273. **[Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque](https://md.research.elamur.ai/free/en/papers/luu-2026-machine-translation-low-resource-languages/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nam Luu, Aitor Soroa, German Rigau, et al.*2026*
274. **[mCS-LM: Multimodal Customer Service and Incident Management Systems Based on Large Language Models](https://md.research.elamur.ai/free/en/papers/morales-2026-mcs-lm-multimodal-customer-service/) [LANLP: Bridging Ibero and Latin American NLP Communities](https://md.research.elamur.ai/free/en/venues/lanlp/)**Carlos Díaz-Morales, Marcos Checa-Rubio, Tomás Bernal-Beltrán, et al.*2026*
275. **[MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mdc-bench-multidisciplinary-causal-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Wang, Yuxiong Yan, Xiao Ding, et al.*2026*
276. **[MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics](https://md.research.elamur.ai/free/en/papers/lu-2026-metabench-multi-task-benchmark-assessing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxing Lu, Xukai Zhao, J. Ben Tamo, et al.*2026*
277. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*
278. **[Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/tao-2026-momoka-rag-mcts-organized-mapping/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenyu Tao, Xiaofen Xing, Zeliang Li, et al.*2026*
279. **[Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement](https://md.research.elamur.ai/free/en/papers/ying-2026-multi-agent-procedural-graph-extraction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wangyang Ying, Yanchi Liu, Xujiang Zhao, et al.*2026*
280. **[On the Editability of Delta Parameters in Post-Trained Models](https://md.research.elamur.ai/free/en/papers/tang-2026-editability-delta-parameters-post-trained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiaoyu Tang, Le Yu, Bowen Yu, et al.*2026*
281. **[OPINE: A Prior-calibrated Scoring Framework for LLM-based Multi-label Scientific Opinion Classification](https://md.research.elamur.ai/free/en/papers/zhang-2026-opine-prior-calibrated-scoring-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mengting Zhang, Gaofeng Pan, Zhixiong Zhang, et al.*2026*
282. **[OrthoEdit: Principled and Stable Knowledge Editing via Orthogonal Subspace Projection](https://md.research.elamur.ai/free/en/papers/qiao-2026-orthoedit-principled-stable-knowledge-editing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Shanbao Qiao, Xuebing Liu, Akshat Gupta, et al.*2026*
283. **[PortOldBERT: Portuguese Historical Language Models](https://md.research.elamur.ai/free/en/papers/osorio-2026-portoldbert-portuguese-historical-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tomas Freitas Osorio, Henrique Lopes Cardoso*2026*
284. **[PrePPER: A Preference Pattern-based Profiling Framework for Explainable Recommendation](https://md.research.elamur.ai/free/en/papers/usumi-2026-prepper-preference-pattern-based-profiling/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Taisuke Usumi, Akiko Masaki, Sanae Muramatsu, et al.*2026*
285. **[PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models](https://md.research.elamur.ai/free/en/papers/ouyang-2026-pyramathbench-evaluating-improving-mathematical-capability/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zetian Ouyang, Linlin Wang, Gerard de Melo, et al.*2026*
286. **[R^3AG: Retriever Routing for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-textasciicircum3ag-retriever-routing-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhao, Yutao Zhu, Yucheng Tian, et al.*2026*
287. **[Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing](https://md.research.elamur.ai/free/en/papers/wu-2026-reason-ke-aligning-process-not/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuchen Wu, Liang Ding, Li Shen, et al.*2026*
288. **[Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-reflective-rag-self-evaluation-driven/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyan Wu, Chenchen Wang, Chaoqun Sun, et al.*2026*
289. **[Reinforcing Agentic Search Via Reward Density Optimization](https://md.research.elamur.ai/free/en/papers/luo-2026-reinforcing-agentic-search-reward-density/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kun Luo, Hongjin Qian, Zheng Liu, et al.*2026*
290. **[RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-routemoa-dynamic-routing-without-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jize Wang, Han Wu, Zhiyuan You, et al.*2026*
291. **[RST-Guarder: Enhancing Long-Context Robustness for Safeguards via RST Parsing and Probabilistic Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-rst-guarder-enhancing-long-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xu Zhang, Xiaojun Wan*2026*
292. **[RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library](https://md.research.elamur.ai/free/en/papers/wang-2026-rv-syn-rational-verifiable-mathematical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, et al.*2026*
293. **[S2O: Early Stopping for Sparse Attention via Online Permutation](https://md.research.elamur.ai/free/en/papers/zhang-2026-s2o-early-stopping-sparse-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Zhang, Songwei Liu, Chenqian Yan, et al.*2026*
294. **[SciPedia: Unlocking the Value of Scientific Data for Pre-training](https://md.research.elamur.ai/free/en/papers/qin-2026-scipedia-unlocking-value-scientific-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiwei Qin, Zhen Huang, Tiantian Mi, et al.*2026*
295. **[SCOPE: Boosting LLM Efficiency with Scoped Position Encoding](https://md.research.elamur.ai/free/en/papers/qi-2026-scope-boosting-llm-efficiency-scoped/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingguo Qi, Hongyang Chen, Zhao Li*2026*
296. **[SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness](https://md.research.elamur.ai/free/en/papers/lu-2026-sdiareward-modeling-benchmarking-spoken-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingyu Lu, Yuhan Wang, Fan Zhuo, et al.*2026*
297. **[SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking](https://md.research.elamur.ai/free/en/papers/xue-2026-sharp-self-adaptive-harmful-category/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingjie Xue, Xingyou Xia, Jun Zhang, et al.*2026*
298. **[SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs](https://md.research.elamur.ai/free/en/papers/zhengxian-2026-slip-soft-label-mechanism-key/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wu Zhengxian, Juan Wen, Wanli Peng, et al.*2026*
299. **[Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator](https://md.research.elamur.ai/free/en/papers/shi-2026-social-welfare-function-leaderboard-emergence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengliang Shi, Ruotian Ma, Jen-tse Huang, et al.*2026*
300. **[Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/tian-2026-subgraph-guided-executable-logical-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhang Tian, Dandan Song, Zhijing Wu, et al.*2026*

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