---
title: "Who cites Wenbiao Yin — page 9 — 3,360 papers of our library"
description: "3,360 papers of the Elamur Research library cite the works of Wenbiao Yin, found in their bibliographies · page 9 of 11 · 801–900; the most…"
canonical: "https://research.elamur.ai/free/en/authors/wenbiao-yin/cited-by/page/9/"
---
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# Who cites Wenbiao Yin

3,441 citations of their works from 3,360 papers of our library (of the 149,439 whose bibliographies we read) · 1,098 with a page here, the most cited first · page 9 of 11 · 801–900 · [← Wenbiao Yin](https://md.research.elamur.ai/free/en/authors/wenbiao-yin/)

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801. **[LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*
802. **[LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents](https://md.research.elamur.ai/free/en/papers/rakhsha-2026-lumina-long-horizon-understanding-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, et al.*2026*
803. **[Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration Scenarios](https://md.research.elamur.ai/free/en/papers/xiao-2026-lunar-bench-evaluating-task-oriented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin-Yu Xiao, Ye Tian, Erwei Yin, et al.*2026*
804. [**MameLoshnLM: Yiddish Language Model and Evaluation Benchmark arXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026**Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/katz-2026-mameloshnlm-yiddish-language-model-evaluation/)
805. **[ManCC: A Task-Anchored Benchmark for Manchu–Classical Chinese Cross-Lingual Modeling](https://md.research.elamur.ai/free/en/papers/wang-2026-mancc-task-anchored-benchmark-manchu/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meiqi Wang, Xiaoxin Sun, Dongjie Wang, et al.*2026*
806. **[MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference](https://md.research.elamur.ai/free/en/papers/park-2026-march-evaluating-intersection-ambiguity-interpretation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jeonghyun Park, Ingeol Baek, Seunghyun Yoon, et al.*2026*
807. **[Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition](https://md.research.elamur.ai/free/en/papers/zheng-2026-market-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yushuo Zheng, Huiyu Duan, Zicheng Zhang, et al.*2026*
808. **[MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation](https://md.research.elamur.ai/free/en/papers/wang-2026-mars-ra-rank-aggregation-credit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dawei Wang, Di Zhao, Xinyuan Liu, et al.*2026*
809. **[MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification](https://md.research.elamur.ai/free/en/papers/song-2026-mars-unleashing-power-speculative-decoding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingwei Song, Xinyu Wang, Hanbin Wang, et al.*2026*
810. **[MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-mass-rag-multi-agent-synthesis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingchen Xiao, Heyan Huang, Runheng Liu, et al.*2026*
811. **[MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers](https://md.research.elamur.ai/free/en/papers/ma-2026-match-modulating-attention-context-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.*2026*
812. **[MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement](https://md.research.elamur.ai/free/en/papers/xu-2026-mavencoder-competitive-code-generation-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**ZhenChun Xu, Yi Cai, Dajun Zheng, et al.*2026*
813. **[MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction](https://md.research.elamur.ai/free/en/papers/pu-2026-mcle-mol-empowering-llm-molecular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhili Pu, Lantian Zhang, Hao Duan, et al.*2026*
814. **[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*
815. **[MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/qu-2026-medieval-unified-medical-benchmark-patient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhan Qu, Michael Färber*2026*
816. **[Mediocrity is the key for LLM as a Judge Anchor Selection](https://md.research.elamur.ai/free/en/papers/yehiya-2026-mediocrity-is-key-llm-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen, et al.*2026*
817. **[MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-memcorl-alternating-co-optimization-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuewen Liu, Peng Xu, Muxi Diao, et al.*2026*
818. **[Memo-SQL: Structured Decomposition and Experience-Driven Self-Correction for Training-Free NL2SQL](https://md.research.elamur.ai/free/en/papers/zerui-2026-memo-sql-structured-decomposition-experience/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Zerui, Weichuan Wang, Yanwei Xu, et al.*2026*
819. **[MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents](https://md.research.elamur.ai/free/en/papers/van-2026-memorai-memory-organization-retrieval-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, et al.*2026*
820. **[Memory-Driven Role-Playing: Evaluation and Enhancement of Persona Knowledge Utilization in LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-memory-driven-role-playing-evaluation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Wang, Haoyang You, Yang Zhang, et al.*2026*
821. **[MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yuan-2026-memsearcher-iterative-memory-integration-search/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qianhao Yuan, Jie Lou, Zichao Li, et al.*2026*
822. **[MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/ye-2026-memweaver-weaving-hybrid-memories-traceable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juexiang Ye, Xue Li, Yang Xinyu, et al.*2026*
823. **[MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/sun-2026-mentalseek-dx-progressive-hypothetico-deductive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Sun, Ymyang, Xinyi Jiang, et al.*2026*
824. **[MENTOR: Mitigating Identity Drift in Dynamic Role-Playing via Dual-Chain Structured Memory](https://md.research.elamur.ai/free/en/papers/zhuoning-2026-mentor-mitigating-identity-drift-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhu Zhuoning, Xingyu Gao, Hailong Shi*2026*
825. **[Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*
826. **[Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting](https://md.research.elamur.ai/free/en/papers/xia-2026-merlin-s-whisper-enabling-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Heming Xia, Cunxiao Du, Rui Li, et al.*2026*
827. **[MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images](https://md.research.elamur.ai/free/en/papers/tuo-2026-messtoclean-evidence-grounded-structure-preserving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayi Tuo, Cheng Tang, Zihan Wang, et al.*2026*
828. **[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*
829. **[MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization](https://md.research.elamur.ai/free/en/papers/xin-2026-metamem-evolving-meta-memory-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haidong Xin, Xinze Li, Zhenghao Liu, et al.*2026*
830. **[MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model](https://md.research.elamur.ai/free/en/papers/liu-2026-mfmdqwen-multilingual-financial-misinformation-detection/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Zhiwei Liu, Yuyan Wang, Yuechen Jiang, et al.*2026*
831. **[MioFFAn: An Annotation Software for Formula Formalization with LLM Automation Capabilities](https://md.research.elamur.ai/free/en/papers/ruiz-2026-mioffan-annotation-software-formula-formalization/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolas Sibuet Ruiz, Horacio Saggion, Riccardo Rossi*2026*
832. **[MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-mirrorcaptcha-wild-captcha-wild-distribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyu Wu, Yuwei Hu, Tianyu Cui, et al.*2026*
833. **[Mitigating Cultural Bias in LLMs via Multi-Agent Cultural Debate](https://md.research.elamur.ai/free/en/papers/tan-2026-mitigating-cultural-bias-llms-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qian Tan, Lei Jiang, Yuting Zeng, et al.*2026*
834. **[Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO](https://md.research.elamur.ai/free/en/papers/zheng-2026-mitigating-selection-bias-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinquan Zheng, Jia Yuan, Jiacheng Yao, et al.*2026*
835. **[Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation](https://md.research.elamur.ai/free/en/papers/si-2026-mitigating-structural-knowledge-collapse-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Si, Zheqi Lv, Chengxi Zang, et al.*2026*
836. **[Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-mixture-minds-multi-agent-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Zhou, Mingrui Zhang, Ke Li, et al.*2026*
837. **[MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models](https://md.research.elamur.ai/free/en/papers/makwana-2026-mlingualfc-evaluating-jailbreak-vulnerabilities-multilingual/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Rishabh Makwana, Mamta Mamta, Deeksha Varshney, et al.*2026*
838. **[MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring](https://md.research.elamur.ai/free/en/papers/yang-2026-mmtutorbench-first-multimodal-benchmark-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tengchao Yang, Sichen Guo, Mengzhao Jia, et al.*2026*
839. **[MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents](https://md.research.elamur.ai/free/en/papers/zhang-2026-mmuie-massive-multi-domain-universal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyi Zhang, Zhenbin Chen, Shuting Li, et al.*2026*
840. **[Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding](https://md.research.elamur.ai/free/en/papers/zhong-2026-modeling-multi-dimensional-cognitive-states/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lin Zhong, Siyu Zhu, Zizhen Yuan, et al.*2026*
841. **[Modeling Perspectives in NLP: Parameter-Efficient Perspective Conditioning for Span Extraction and Summarization](https://md.research.elamur.ai/free/en/papers/saisudha-2026-modeling-perspectives-nlp-parameter-efficient/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Harikrishnan Gurushankar Saisudha, Sabine Bergler*2026*
842. **[MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions](https://md.research.elamur.ai/free/en/papers/minggad-2026-monculture-eval-hierarchical-benchmark-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Quulgan Minggad, Xiao Zinan, Yuan Sun*2026*
843. **[MUC-4 Revisited: Document-level Event Analysis beyond Span-based Arguments](https://md.research.elamur.ai/free/en/papers/olsen-2026-muc-4-revisited-document-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid*2026*
844. **[Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*
845. **[Multi-lingual Functional Evaluation for Large Language Models](https://md.research.elamur.ai/free/en/papers/ojewale-2026-multi-lingual-functional-evaluation-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Victor Ojewale, Inioluwa Deborah Raji, Suresh Venkatasubramanian*2026*
846. **[Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource Languages](https://md.research.elamur.ai/free/en/papers/quaremba-2026-multilingual-cross-lingual-citation-needed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gerrit Quaremba, Amy Rechkemmer, Elizabeth Black, et al.*2026*
847. **[Multilingual Chain-of-Thought Compression via Cross-Lingual Distillation](https://md.research.elamur.ai/free/en/papers/wan-2026-multilingual-chain-thought-compression-cross/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Jiarui Wan, Songming Zhang, Yufeng Chen*2026*
848. **[Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks](https://md.research.elamur.ai/free/en/papers/sarwar-2026-multimodal-unlearning-across-vision-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.*2026*
849. [**Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge arXiv:2609.31511**Yahya Mohamed Elnawasany*2026*](https://md.research.elamur.ai/free/en/papers/elnawasany-2026-muslim-deployed-arabic-voice-ai/)
850. **[MUTANT: A Recipe for Multilingual Tokenizer Design](https://md.research.elamur.ai/free/en/papers/rana-2026-mutant-recipe-multilingual-tokenizer-design/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.*2026*
851. **[M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-m-2-po-multi-perspective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Linlong Xu, Heng Liu, et al.*2026*
852. **[N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization](https://md.research.elamur.ai/free/en/papers/zhu-2026-n-grpo-embedding-level-neighbor/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xukun Zhu, Hang Yu, Peng Di, et al.*2026*
853. [**NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task arXiv:2609.27086**Peter Sullivan, Bashar Talafha, Ahmed Ashraf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sullivan-2026-nadi-2026-second-multidialectal-arabic/)
854. **[NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models](https://md.research.elamur.ai/free/en/papers/moon-2026-needlechain-measuring-intact-context-comprehension/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyeonseok Moon, Heuiseok Lim*2026*
855. **[NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matheus Westhelle, Viviane Moreira*2026*
856. **[NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons](https://md.research.elamur.ai/free/en/papers/zheng-2026-neurag-end-end-neural-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwei Zheng, Xuemin Liu, Jie Liu*2026*
857. **[Next Reply Prediction X (NRP-X) Dataset: Linguistic Discrepancies in Naively Generated Content](https://md.research.elamur.ai/free/en/papers/munker-2026-next-reply-prediction-x-nrp/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Simon Münker, Nils Schwager, Kai Kugler, et al.*2026*
858. **[NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs](https://md.research.elamur.ai/free/en/papers/luo-2026-niutrans-lmt-inclusive-scalable-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.*2026*
859. **[NoviceTrio in #SMM4H-HeaRD 2026: Hybrid Clinical Transformer Ensembles for Insomnia Detection and Evidence Extraction from Clinical Notes](https://md.research.elamur.ai/free/en/papers/naskar-2026-novicetrio-smm4h-heard-2026-hybrid/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Abir Naskar, Mike Conway*2026*
860. **[Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-octopus-gated-selective-attention-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chien Van Nguyen, Ryan A. Rossi, Linh Ngo Van, et al.*2026*
861. **[ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-odtqa-fore-open-domain-tabular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhensheng Wang, Xiaole Liu, Wenmian Yang, et al.*2026*
862. **[ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification](https://md.research.elamur.ai/free/en/papers/wang-2026-odutqa-mdc-task-open-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhensheng Wang, ZhanTeng Lin, Wenmian Yang, et al.*2026*
863. **[On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*
864. **[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*
865. **[One Pair Suffices: Unlocking Universal Zero-Shot Translation via Cross-Architecture Alignment](https://md.research.elamur.ai/free/en/papers/zong-2026-one-pair-suffices-unlocking-universal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Zong, Cong Hu Yuan, Chao Bei, et al.*2026*
866. **[OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving](https://md.research.elamur.ai/free/en/papers/zhang-2026-optiverse-comprehensive-benchmark-optimization-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhang, Boxuan Zhang, Yuchen Wan, et al.*2026*
867. **[Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models](https://md.research.elamur.ai/free/en/papers/tuck-2026-orthographic-constraint-satisfaction-human-difficulty/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bryan E. Tuck, Rakesh Verma*2026*
868. **[OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents](https://md.research.elamur.ai/free/en/papers/yang-2026-os-symphony-holistic-framework-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bowen Yang, Kaiming Jin, Zhenyu Wu, et al.*2026*
869. **[Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space](https://md.research.elamur.ai/free/en/papers/materzok-2026-output-space-search-targeting-llm/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Tobias Materzok*2026*
870. **[Over-Searching in Search-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/xie-2026-over-searching-search-augmented-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Roy Xie, Deepak Gopinath, David Qiu, et al.*2026*
871. **[Overview of the UZH Shared Task 2026 on Reconstructing the Reasoning in United Nations Resolutions](https://md.research.elamur.ai/free/en/papers/shaitarova-2026-overview-uzh-shared-task-2026/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Anastassia Shaitarova, Yingqiang Gao, Fatma-Zohra Rezkellah, et al.*2026*
872. **[PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents](https://md.research.elamur.ai/free/en/papers/wei-2026-pace-predictive-adaptive-context-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Wei, Xiao Peng, Tt, et al.*2026*
873. **[PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition](https://md.research.elamur.ai/free/en/papers/xu-2026-pam-enhancing-general-alignment-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Xu, Fuzhen Yang, Liang Lin, et al.*2026*
874. **[Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization](https://md.research.elamur.ai/free/en/papers/maggini-2026-par-ita-benchmarking-seq2seq-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, et al.*2026*
875. **[Parallel Test-Time Scaling for Latent Reasoning Models](https://md.research.elamur.ai/free/en/papers/you-2026-parallel-test-time-scaling-latent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runyang You, Yongqi Li, Meng Liu, et al.*2026*
876. **[Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL](https://md.research.elamur.ai/free/en/papers/wu-2026-parallel-sft-improving-zero-shot/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhaofeng Wu, Shiqi Wang, Boya Peng, et al.*2026*
877. **[Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow](https://md.research.elamur.ai/free/en/papers/zhong-2026-parallelism-generation-order-masked-diffusion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.*2026*
878. **[Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*
879. **[PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/mu-2026-parif-pushing-pareto-frontier-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.*2026*
880. **[PaT: Planning-after-Trial for Efficient Test-Time Code Generation](https://md.research.elamur.ai/free/en/papers/yoon-2026-pat-planning-after-trial-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Youngsik Yoon, Sungjae Lee, Seockbean Song, et al.*2026*
881. **[Pause or Fabricate? Training Language Models for Grounded Reasoning](https://md.research.elamur.ai/free/en/papers/qiu-2026-pause-or-fabricate-training-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiwen Qiu, Linjuan Wu, Yizhou Liu, et al.*2026*
882. **[PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/shen-2026-pegrl-improving-machine-translation-post/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yunzhi Shen, Hao Zhou, Xin Huang, et al.*2026*
883. **[PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.*2026*
884. **[Persona-E\texttwosuperior: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events](https://md.research.elamur.ai/free/en/papers/yang-2026-persona-e-texttwosuperior-human-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqin Yang, Haowu Zhou, Haoran Tu, et al.*2026*
885. **[PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-personaarena-dynamic-simulation-evaluating-enhancing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenlong Shi, Jianxun Lian, Mingqi Wu, et al.*2026*
886. **[Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese](https://md.research.elamur.ai/free/en/papers/yue-2026-phun-bench-evaluating-llms-phonological/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xing Yue, Yongliang Shen, Weiming Lu*2026*
887. **[PII-VisBench: Evaluating Personally Identifiable Information Safety in Vision Language Models Along a Continuum of Visibility](https://md.research.elamur.ai/free/en/papers/shahariar-2026-pii-visbench-evaluating-personally-identifiable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**G M Shahariar, Zabir Al Nazi, Md Olid Hasan Bhuiyan, et al.*2026*
888. [**PlainMedScale: A Corpus of Multi-Level Simplified Medical Texts in German and English arXiv:2608.01158**Bruno Brocai, Ilaria Papagno, Mayumi Ohta*2026*](https://md.research.elamur.ai/free/en/papers/brocai-2026-plainmedscale-corpus-multi-level-simplified/)
889. **[Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/qi-2026-please-refuse-answer-me-mitigating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yupeng Qi, Ziyu Lyu, Lixin Cui, et al.*2026*
890. **[PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries](https://md.research.elamur.ai/free/en/papers/zhao-2026-plotgen-bench-evaluating-vlms-generating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Zhao, Zhen Yang, Shuaiqi Duan, et al.*2026*
891. **[Plug-and-Play Data Module for Code RL: Adaptive Ambiguity Replay](https://md.research.elamur.ai/free/en/papers/zhang-2026-plug-play-data-module-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianqing Zhang, Wei Xia, Zhezheng Hao, et al.*2026*
892. **[PodBench: A Comprehensive Benchmark for Instruction-Aware Audio-Oriented Podcast Script Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-podbench-comprehensive-benchmark-instruction-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenning Xu, Mao Zheng, Mingyu Zheng, et al.*2026*
893. **[POINTERS at UZH Shared Task 2026: Reasoning Probes for Argumentation Mining in UN Resolutions](https://md.research.elamur.ai/free/en/papers/sen-2026-pointers-uzh-shared-task-2026/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Sohom Sen, Avina Nakarmi, Xun Song, et al.*2026*
894. **[Polimi at CRF Filling 2026: Prompt-Based Information Extraction from Italian Clinical Notes](https://md.research.elamur.ai/free/en/papers/torri-2026-polimi-crf-filling-2026-prompt/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Vittorio Torri, Francesca Ieva*2026*
895. **[PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts](https://md.research.elamur.ai/free/en/papers/zhu-2026-politnuggets-benchmarking-agentic-discovery-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifei Zhu*2026*
896. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xue Tan, Yi Zheng, Chang Huo, et al.*2026*
897. **[PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning](https://md.research.elamur.ai/free/en/papers/liu-2026-pretrainrl-alleviating-factuality-hallucination-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Langming Liu, Kangtao Lv, Haibin Chen, et al.*2026*
898. **[PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering](https://md.research.elamur.ai/free/en/papers/wang-2026-prime-process-outcome-alignment-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangfeng Wang, Hangyu Guo, Yanlin Lai, et al.*2026*
899. **[PRISM: Probabilistic Reward Model with Inherent Structural Modeling](https://md.research.elamur.ai/free/en/papers/zhou-2026-prism-probabilistic-reward-model-inherent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Zhou, Yixin Cao, Yuchen Ni, et al.*2026*
900. [**ProBel: Propaganda Detection with Techniques, Spans, and Explanations arXiv:2608.22388**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kmainasi-2026-probel-propaganda-detection-techniques-spans/)

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