---
title: "Who cites James Aung — page 6 — 2,285 papers of our library"
description: "2,285 papers of the Elamur Research library cite the works of James Aung, found in their bibliographies · page 6 of 7 · 501–600; the most cited first."
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---
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# Who cites James Aung

2,344 citations of their works from 2,285 papers of our library (of the 149,439 whose bibliographies we read) · 618 with a page here, the most cited first · page 6 of 7 · 501–600 · [← James Aung](https://md.research.elamur.ai/free/en/authors/james-aung/)

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501. **[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*
502. **[MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/xiang-2026-mab-dqa-addressing-query-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.*2026*
503. **[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*
504. **[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*
505. **[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*
506. **[Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding](https://md.research.elamur.ai/free/en/papers/wang-2026-measure-twice-click-once-co/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenkai Wang, Xiyun Li, Hongcan Guo, et al.*2026*
507. **[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*
508. **[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*
509. **[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*
510. **[MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-mhgraphbench-knowledge-graph-grounded-benchmarking/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Weixin Liu, Congning Ni, Shelagh A. Mulvaney, et al.*2026*
511. **[Minimal Free Resolution Guided Adaptive Tree Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2026-minimal-free-resolution-guided-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dezhao Tang, Meihan Liu, Yulai Tong, et al.*2026*
512. **[MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding](https://md.research.elamur.ai/free/en/papers/xia-2026-mmscicode-real-world-evaluation-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Xia, Zheyuan Yang, Arman Cohan, et al.*2026*
513. **[More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sun-2026-more-than-sum-its-parts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Runze Sun, Yu Zheng, Zexuan Xiong, et al.*2026*
514. **[mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/ngo-2026-mscore-multilingual-scalable-benchmark-skill/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen*2026*
515. **[MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-msearth-multimodal-benchmark-earth-science/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyu Zhao, Wanghan Xu, Bo Liu, et al.*2026*
516. **[Multimodal Claim Extraction for Fact-Checking](https://md.research.elamur.ai/free/en/papers/teo-2026-multimodal-claim-extraction-fact-checking/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Joycelyn Teo, Rui Cao, Zhenyun Deng, et al.*2026*
517. **[Multimodal Large Language Models for Multi-Subject In-Context Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-multimodal-large-language-models-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Zhou, Dubing Chen, Huan Zheng, et al.*2026*
518. **[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*
519. **[M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-m-3-vqa-benchmark-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiatong Ma, Longteng Guo, Yuchen Liu, et al.*2026*
520. **[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*
521. **[Neo-Classic: A Benchmark for Evaluating Linguistic-Aesthetic Reasoning in Classical Chinese Poetry](https://md.research.elamur.ai/free/en/papers/zhang-2026-neo-classic-benchmark-evaluating-linguistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Han Zhang, Zihan Gu, Zhiyuan Wang, et al.*2026*
522. **[On the Cultural Anachronism and Temporal Reasoning in Vision Language Models](https://md.research.elamur.ai/free/en/papers/ranjan-2026-cultural-anachronism-temporal-reasoning-vision/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mukul Ranjan, Prince Jha, Khushboo Kumari, et al.*2026*
523. **[Optical Character Recognition for the International Phonetic Alphabet](https://md.research.elamur.ai/free/en/papers/okabe-2026-optical-character-recognition-international-phonetic/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shu Okabe, Dejvi Zelo, Alexander Fraser*2026*
524. **[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*
525. **[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*
526. **[PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR](https://md.research.elamur.ai/free/en/papers/yao-2026-par-training-free-positional-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao Yao, Manwen Liao, Weitian Zhang, et al.*2026*
527. **[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*
528. **[Penetrating Linguistic Disguises: A Slang-aware Label-Aligned Framework for Fine-Grained Toxicity Extraction in Chinese Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/liu-2026-penetrating-linguistic-disguises-slang-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Liu, Xiaoliang Chen, Duoqian Miao, et al.*2026*
529. **[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*
530. **[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*
531. **[PrefRAG: Correcting Semantic Errors in Auto-Formalization for Logical Reasoning with Program Preference RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-prefrag-correcting-semantic-errors-auto/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuyin Zhou, Yongmei Liu*2026*
532. **[PROBE: PROcess-Based BEnchmark for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/zhang-2026-probe-process-based-benchmark-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yu Zhang, Peter Belcak, Shizhe Diao, et al.*2026*
533. **[Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing](https://md.research.elamur.ai/free/en/papers/ye-2026-probing-semantic-alignment-lexical-invariance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengying Ye, Shanshan Wang, Lidia S. Chao, et al.*2026*
534. **[PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance](https://md.research.elamur.ai/free/en/papers/shen-2026-propgenie-multi-agent-conversational-framework/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chang Shen, Shaozu Yuan, Kuizong Wu, et al.*2026*
535. **[Protecting Bystander Privacy via Selective Hearing in Audio LLMs](https://md.research.elamur.ai/free/en/papers/zhan-2026-protecting-bystander-privacy-selective-hearing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Zhan, Guangzhi Sun, Jose Such, et al.*2026*
536. **[Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-putting-captions-test-evaluating-video/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zizhen Wang, Bo Feng, Zhengfeng Lai, et al.*2026*
537. **[PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data](https://md.research.elamur.ai/free/en/papers/xiong-2026-puzzleclone-dsl-powered-framework-synthesizing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Xiong, Yanwei Huang, Rongjunchen Zhang, et al.*2026*
538. **[QAMAR: A New Fully Verified and Accurate Quranic Arabic Morphological Analysis Resource.](https://md.research.elamur.ai/free/en/papers/faqihi-2026-qamar-new-fully-verified-accurate/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Sara Faqihi, Karim Bouzoubaa, Rachida Tajmout, et al.*2026*
539. **[QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs](https://md.research.elamur.ai/free/en/papers/zhu-2026-quantilemark-message-symmetric-multi-bit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junlin Zhu, Baizhou Huang, Xiaojun Wan*2026*
540. **[R\textthreesuperiorA: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms](https://md.research.elamur.ai/free/en/papers/yuan-2026-r-textthreesuperiora-reinforced-reasoning-relevance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaowei Yuan, Lei Jin, Haoxin Zhang, et al.*2026*
541. **[RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings](https://md.research.elamur.ai/free/en/papers/zhou-2026-radtimeline-timeline-summarization-longitudinal-radiological/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sitong Zhou, Meliha Yetisgen, Mari Ostendorf*2026*
542. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ran Xu, Yuchen Zhuang, Yue Yu, et al.*2026*
543. **[Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasoning-as-gradient-scaling-mle/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifei Zhang, Xu Yang, Xiao Yang, et al.*2026*
544. **[Reasoning-Aware AIGC Detection via Alignment and Reinforcement](https://md.research.elamur.ai/free/en/papers/wang-2026-reasoning-aware-aigc-detection-alignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhao Wang, Max Xiong, Jianxun Lian, et al.*2026*
545. **[ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasonrec-reasoning-augmented-multimodal-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yihua Zhang, Mingfu Liang, Jiyan Yang, et al.*2026*
546. **[Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards](https://md.research.elamur.ai/free/en/papers/xie-2026-red-teaming-nsfw-image-classifiers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tinghao Xie, Yueqi Xie, Alireza Zareian, et al.*2026*
547. **[RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*
548. **[Response Content Units: Evaluating Completeness and Proactiveness in Medical Open-Response Question Answering](https://md.research.elamur.ai/free/en/papers/park-2026-response-content-units-evaluating-completeness/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Yongsin Park, Wen-wai Yim, Emma McKibbin, et al.*2026*
549. **[Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/ma-2026-response-g1-explicit-scene-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ke Ma, Jiaqi Tang, Bin Guo, et al.*2026*
550. **[Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-reading-order-generalizable-document/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Weishi Wang, Hengchang Hu, Daniel Dahlmeier*2026*
551. **[Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms](https://md.research.elamur.ai/free/en/papers/nishida-2026-revisiting-non-verbatim-memorization-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuto Nishida, Naoki Shikoda, Yosuke Kishinami, et al.*2026*
552. **[RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/tian-2026-rit-rubrics-thinking-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaobin Tian, Shuai Yuan, Muyun Ding, et al.*2026*
553. **[RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems](https://md.research.elamur.ai/free/en/papers/liu-2026-roadmapper-multi-agent-system-roadmap/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiacheng Liu, Zichen Tang, Zhongjun Yang, et al.*2026*
554. **[RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams](https://md.research.elamur.ai/free/en/papers/man-2026-rod-tal-benchmark-answering-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun, et al.*2026*
555. **[ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding](https://md.research.elamur.ai/free/en/papers/xueyun-2026-roma-real-time-omni-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tian Xueyun, Wei Li, Bingbing Xu, et al.*2026*
556. **[Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL](https://md.research.elamur.ai/free/en/papers/zhou-2026-rose-sql-role-state-evolution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Le Zhou, Feng Yao, Fengcai Qiao, et al.*2026*
557. **[RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios](https://md.research.elamur.ai/free/en/papers/zhang-2026-rsa-bench-benchmarking-audio-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Zhang, Kaiwen Luo, Liang Lin, et al.*2026*
558. **[S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language Models](https://md.research.elamur.ai/free/en/papers/shukla-2026-s2h-dpo-hardness-aware-preference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nitish Shukla, Surgan Jandial, Arun Ross*2026*
559. **[SAD: A Large-Scale Strategic Argumentative Dialogue Dataset](https://md.research.elamur.ai/free/en/papers/liu-2026-sad-large-scale-strategic-argumentative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YongKang Liu, Jiayang Yu, Mingyang Wang, et al.*2026*
560. **[SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-safemcp-proactive-power-regulation-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lichao Wang, ZhaoXing Ren, Tianzhuo Yang, et al.*2026*
561. **[Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMs](https://md.research.elamur.ai/free/en/papers/nandi-2026-scaling-intent-understanding-framework-classification/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Subhadip Nandi, Tanishka Agarwal, Anshika Singh, et al.*2026*
562. **[SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.*2026*
563. **[SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization](https://md.research.elamur.ai/free/en/papers/wang-2026-scurank-ranking-multiple-candidate-summaries/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo-Jyun Wang, Ying-Jia Lin, Hung-Yu Kao*2026*
564. **[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*
565. **[Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity?](https://md.research.elamur.ai/free/en/papers/rachmat-2026-semantic-syntactic-lexical-what-makes/) [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/)**Benedictus Kent Rachmat, Thomas Gerald, Takuya Nakamura, et al.*2026*
566. **[SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models](https://md.research.elamur.ai/free/en/papers/mai-2026-sharedrequest-privacy-preserving-model-agnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peihua Mai, Xuanrong Gao, Youlong Ding, et al.*2026*
567. **[Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool Composition](https://md.research.elamur.ai/free/en/papers/wang-2026-simple-vgc-enhancing-visual-grounding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ye Wang, Qianglong Chen, Siyuan Wang, et al.*2026*
568. **[SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read](https://md.research.elamur.ai/free/en/papers/peng-2026-simpleocr-rendering-visual-questions-teach/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Peng, Peng Xia, Ding Zhong, et al.*2026*
569. [**STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study arXiv:2608.28614**Wenjie Lou, Alaa Mamdouh Akef*2026*](https://md.research.elamur.ai/free/en/papers/lou-2026-stageet-stage-wise-typed-edit/)
570. **[Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection](https://md.research.elamur.ai/free/en/papers/phelps-2026-stands-reason-investigating-effect-reasoning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.*2026*
571. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huawei Zheng, Xinqi Jiang, Sen Yang, et al.*2026*
572. **[STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yu-2026-stem-structure-tracing-evidence-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Yu, En Xu, Bin Chen, et al.*2026*
573. **[SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://md.research.elamur.ai/free/en/papers/wastl-2026-swissgov-rsd-human-annotated-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Wastl, Jannis Vamvas, Rico Sennrich*2026*
574. **[TabGuard: Agentic LLM Orchestration for Adaptive Tabular Anomaly Detection via Dynamic Validator Selection and Generation](https://md.research.elamur.ai/free/en/papers/unnikrishnan-2026-tabguard-agentic-llm-orchestration-adaptive/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Srihari Unnikrishnan, Minghua Ma*2026*
575. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhe Wu, Jian Yang, Zhongjiang He, et al.*2026*
576. **[Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework](https://md.research.elamur.ai/free/en/papers/pang-2026-tailoring-rumor-debunking-you-diversifying/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xinle Pang, Danding Wang, Qiang Sheng, et al.*2026*
577. **[Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI](https://md.research.elamur.ai/free/en/papers/zhao-2026-telling-speculative-stories-help-humans/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingmeng Zhao, Tongnian Wang, Dan Schumacher, et al.*2026*
578. **[Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-temporal-token-matters-investigating-interpreting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Yang, Xinyue Zhang, Ping Jian, et al.*2026*
579. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action](https://md.research.elamur.ai/free/en/papers/zhou-2026-textminex-data-evaluation-framework-ontology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.*2026*
580. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-art-mis-alignment-how-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Zhang, Hongwei Li, Yun Shen, et al.*2026*
581. **[The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning](https://md.research.elamur.ai/free/en/papers/zhou-2026-curse-verbalization-how-presentation-order/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, et al.*2026*
582. **[The Double Bind: Revisiting Preprinting and Peer Review Two Years After the Removal of the ACL Anonymity Period](https://md.research.elamur.ai/free/en/papers/pranav-2026-double-bind-revisiting-preprinting-peer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**A Pranav, Shane Storks, Anne Lauscher*2026*
583. **[The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wullach-2026-overlooked-role-graded-relevance-thresholds/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tomer Wullach, Ori Shapira, Amir David Nissan Cohen*2026*
584. **[Thesis Proposal: Multimodal Benchmark for Music Understanding in Large Language Models](https://md.research.elamur.ai/free/en/papers/sourada-2026-thesis-proposal-multimodal-benchmark-music/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tomáš Sourada*2026*
585. **[Thinking Twice Makes Large Language Models Safer and More Helpful](https://md.research.elamur.ai/free/en/papers/mou-2026-thinking-twice-makes-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.*2026*
586. **[Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience](https://md.research.elamur.ai/free/en/papers/qi-2026-thought-action-graph-reasoning-faithful/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhixiao Qi, Feng Huang, Yunqi Zhang, et al.*2026*
587. **[Tool-Aware Planning for Contact-Center Analytics: Evaluating LLMs through Lineage-Guided Query Decomposition](https://md.research.elamur.ai/free/en/papers/nathan-2026-tool-aware-planning-contact-center/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Varun Nathan, Shreyas Guha, Ayush Kumar*2026*
588. **[Towards a Radiologist Imitation Framework for 3D CT Diagnosis with Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-radiologist-imitation-framework-3d-ct/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Kaidi Zhang, Zhiyuan Yan, Gao Cheng, et al.*2026*
589. **[Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-grained-multi-granular-contrastive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Yang, Bing Han, Hui Wang, et al.*2026*
590. **[Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice](https://md.research.elamur.ai/free/en/papers/wang-2026-ip-intelligence-benchmarking-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiyao Wang, Guhong Chen, Hongbo Wang, et al.*2026*
591. **[Towards Robust Evaluation of Visual Activity Recognition: Resolving Verb Ambiguity with Sense Clustering](https://md.research.elamur.ai/free/en/papers/yao-2026-robust-evaluation-visual-activity-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Louie Hong Yao, Nicholas Jarvis, Tianyu Jiang*2026*
592. **[Towards Scalable Lightweight GUI Agents via Multi-role Orchestration](https://md.research.elamur.ai/free/en/papers/wang-2026-scalable-lightweight-gui-agents-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Junjie Zheng, Leyang Yang, et al.*2026*
593. **[ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway](https://md.research.elamur.ai/free/en/papers/park-2026-toxreason-benchmark-mechanistic-chemical-toxicity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jueon Park, WonJune Jang, Chanhwi Kim, et al.*2026*
594. **[TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding Tasks](https://md.research.elamur.ai/free/en/papers/xu-2026-tps-bench-evaluating-ai-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.*2026*
595. **[Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**Yiheng Wu, Jue Hou, Roman Yangarber*2026*
596. **[Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation](https://md.research.elamur.ai/free/en/papers/ye-2026-translation-thought-difficulty-adaptive-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongshi Ye, Biao Fu, Chongxuan Huang, et al.*2026*
597. **[TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking](https://md.research.elamur.ai/free/en/papers/zhang-2026-trendfact-benchmark-hotspot-perception-automatic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaocheng Zhang, Xi Wang, Yifei Lu, et al.*2026*
598. **[TReX: Tokenizer Regression for Optimal Data Mixture](https://md.research.elamur.ai/free/en/papers/won-2026-trex-tokenizer-regression-optimal-data/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Inho Won, Hangyeol Yoo, Minkyung Cho, et al.*2026*
599. **[TruthTrap: A Bilingual Benchmark for Evaluating Factually Correct Yet Misleading Information in Question Answering](https://md.research.elamur.ai/free/en/papers/shafiei-2026-truthtrap-bilingual-benchmark-evaluating-factually/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mohammadamin Shafiei, Hamidreza Saffari, Mohammad Taher Pilehvar, et al.*2026*
600. **[UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint](https://md.research.elamur.ai/free/en/papers/zheng-2026-ummf-protecting-copyright-large-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*

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