---
title: "Who cites Jack W. Rae — page 27 — 13,732 citing papers"
description: "13,732 papers of the Elamur Research library cite the works of Jack W. Rae, found in their bibliographies · page 27 of 31 · 2601–2700; the…"
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# Who cites Jack W. Rae

17,168 citations of their works from 13,732 papers of our library (of the 149,439 whose bibliographies we read) · 3,050 with a page here, the most cited first · page 27 of 31 · 2601–2700 · [← Jack W. Rae](https://md.research.elamur.ai/free/en/authors/jack-w-rae/)

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2601. **[Do LLMs Transfer Political Framing across Languages? A Cross-Lingual Analysis of LLM-Generated Discourse](https://md.research.elamur.ai/free/en/papers/awwad-2026-do-llms-transfer-political-framing/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**Nooredeen Awwad, Ebtihal Ismail Enfes, Kolawole John Adebayo*2026*
2602. **[Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and Reasoning](https://md.research.elamur.ai/free/en/papers/sobhani-2026-do-multi-agents-solve-better/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Mohammad Nehad Alam, et al.*2026*
2603. **[Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*
2604. **[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA](https://md.research.elamur.ai/free/en/papers/zheng-2026-doc-v-coarse-fine-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanlei Zheng, Pei Fu, Hang Li, et al.*2026*
2605. **[Document-Level Text Simplification in Estonian Using Large Language Models](https://md.research.elamur.ai/free/en/papers/muru-2026-document-level-text-simplification-estonian/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Meeri-Ly Muru, Eduard Barbu*2026*
2606. **[Does Translation Preserve Sentiment? An Analysis of Arabic-English Cross-Lingual Classification](https://md.research.elamur.ai/free/en/papers/mubarak-2026-does-translation-preserve-sentiment-analysis/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Nour Aldin Al Mubarak, Noura Al Moubayed*2026*
2607. **[DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-dos-dependency-oriented-sampler-masked/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xueyu Zhou, Yangrong Hu, Jian Huang*2026*
2608. **[DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models](https://md.research.elamur.ai/free/en/papers/wu-2026-dose-data-selection-multi-modal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Biao Wu, Yiwu Zhong, Meng Fang, et al.*2026*
2609. **[DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning](https://md.research.elamur.ai/free/en/papers/park-2026-dplora-dual-pruning-framework-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changjun Park, Sejong Yoon, Jaekwang Kim*2026*
2610. **[DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition](https://md.research.elamur.ai/free/en/papers/zhang-2026-duivrs-2-llm-based-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Le Zhang, Shengming Zhang, Rui Zha, et al.*2026*
2611. **[Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage?](https://md.research.elamur.ai/free/en/papers/yuan-2026-dunhuang-bench-how-well-do/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junyi Yuan, Jian Zhang, Tianxiu Yu, et al.*2026*
2612. **[Dynamic Graph Navigation via Triplet Chains for Structure-Aware Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-dynamic-graph-navigation-triplet-chains/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Feng Zhao, Yufei Wu, Xianggan Liu, et al.*2026*
2613. **[Dynamic Model Switching to Mitigate Outdated Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/pinninti-2026-dynamic-model-switching-mitigate-outdated/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ramakrishna Pinninti, Sabyasachi Kamila, Ayan Mazumder, et al.*2026*
2614. **[D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-d-2-rag-dual-decision/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, et al.*2026*
2615. **[D²Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/luo-2026-d-2-plan-dual-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kangcheng Luo, Tinglang Wu, Yansong Feng*2026*
2616. **[EdgeFormer: Latency-Aware Collaborative Multi-Head Attention of Transformer Inference in Edge Networks](https://md.research.elamur.ai/free/en/papers/yao-2026-edgeformer-latency-aware-collaborative-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiming Yao, Jianwei Niu, Bin Dai, et al.*2026*
2617. **[Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs](https://md.research.elamur.ai/free/en/papers/nina-2026-efficient-fine-tuning-methods-portuguese/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Mariela M. Nina, Caio Veloso Costa, Lilian Berton, et al.*2026*
2618. **[EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models](https://md.research.elamur.ai/free/en/papers/xing-2026-efficientllm-unified-pruning-aware-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingrun Xing, Zheng Liu, Shitao Xiao, et al.*2026*
2619. **[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*
2620. **[EmoHarbor: Evaluating Personalized Emotional Support by Simulating the User's Internal World](https://md.research.elamur.ai/free/en/papers/ye-2026-emoharbor-evaluating-personalized-emotional-support/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Ye, Lu Xiang, Yaping Zhang, et al.*2026*
2621. **[EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness](https://md.research.elamur.ai/free/en/papers/sun-2026-emomm-benchmarking-steering-mllm-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yueru Sun, Yimeng Zhang, Haoyu Gu, et al.*2026*
2622. **[EMPATH: An Ensemble Method for Automatic Fine-Grained Turn-Level Dialogue Empathy Evaluation with a Novel Emotional Distance Metric](https://md.research.elamur.ai/free/en/papers/rao-2026-empath-ensemble-method-automatic-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongning Rao, Zhihua Liang, Zhihua Jiang*2026*
2623. **[Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization Invariance](https://md.research.elamur.ai/free/en/papers/wang-2026-enhancing-transferability-jailbreak-attacks-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ao Wang, Xinghao Yang, Yongshun Gong, et al.*2026*
2624. **[Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection Prompting](https://md.research.elamur.ai/free/en/papers/yin-2026-enhancing-zero-shot-time-series/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingyou Yin, Ceyao Zhang, Min Hu, et al.*2026*
2625. **[Entity Linking for Faroese Using Large Language Models with Web Search](https://md.research.elamur.ai/free/en/papers/simonsen-2026-entity-linking-faroese-large-language/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Annika Simonsen, Iben Nyholm Debess, Hafsteinn Einarsson*2026*
2626. **[EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations](https://md.research.elamur.ai/free/en/papers/qin-2026-entrobench-evaluating-llm-watermarking-under/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pengyuan Qin, Linnan Tu, Yuhan Ke, et al.*2026*
2627. **[EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/yeom-2026-epicar-knowing-what-you-don/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jewon Yeom, Jaewon Sok, Seonghyeon Park, et al.*2026*
2628. **[EQUIP: EQUivariant preserving In-Place updates for Efficient Token Pruning](https://md.research.elamur.ai/free/en/papers/ramachandran-2026-equip-equivariant-preserving-place-updates/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arun Ramachandran, R Govindarajan, Murali Annavaram, et al.*2026*
2629. **[EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks](https://md.research.elamur.ai/free/en/papers/lu-2026-eva-evolving-semantic-adversaries-red/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yijie Lu, Manman Zhao, Tianjie Ju, et al.*2026*
2630. **[Evaluating Discriminability of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masayasu Muraoka, Naoaki Okazaki*2026*
2631. **[Evaluating Memory Capability in Continuous Lifelog Scenario](https://md.research.elamur.ai/free/en/papers/zheng-2026-evaluating-memory-capability-continuous-lifelog/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianjie Zheng, Zhichen Liu, Zhanyu Shen, et al.*2026*
2632. **[Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*
2633. **[Evaluating the Impact of SAE-based Language Steering on LLM Performance](https://md.research.elamur.ai/free/en/papers/zwirner-2026-evaluating-impact-sae-based-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sebastian Zwirner, Wentao Hu, Koshiro Aoki, et al.*2026*
2634. [**Evaluating the Usage of African-American Vernacular English in Large Language Models arXiv:2602.21485**Deja Dunlap, R. Thomas McCoy*2026*](https://md.research.elamur.ai/free/en/papers/dunlap-2026-evaluating-usage-african-american-vernacular/)
2635. **[Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection](https://md.research.elamur.ai/free/en/papers/yang-2026-everyone-is-unique-behaviorally-heterogeneous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Yang, Kai Tang, Chao Ye, et al.*2026*
2636. **[Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision](https://md.research.elamur.ai/free/en/papers/zheng-2026-evo-pi-aligning-medical-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xianda Zheng, Huan Gao, Meng-Fen Chiang, et al.*2026*
2637. **[EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication](https://md.research.elamur.ai/free/en/papers/zhang-2026-evohyper-evolving-hypergraph-topologies-unified/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Heng Zhang, Yihao Zhong, Lubin Gan, et al.*2026*
2638. **[Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue](https://md.research.elamur.ai/free/en/papers/yu-2026-experience-is-teacher-reusing-atomic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangya Yu, Hui Luo, Qi Ye, et al.*2026*
2639. **[Experience-driven Multi-turn Reinforcement Learning for GUI Agents](https://md.research.elamur.ai/free/en/papers/lu-2026-experience-driven-multi-turn-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxi Lu, Jiabo Ye, Fei Tang, et al.*2026*
2640. **[Exploring Attention Attractors in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-attention-attractors-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziheng Wang, Zihao Yue, Wenxuan Wang, et al.*2026*
2641. **[ExpressivityBench: Can LLMs Communicate Implicitly?](https://md.research.elamur.ai/free/en/papers/tint-2026-expressivitybench-can-llms-communicate-implicitly/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joshua Tint, Som Sagar, Aditya Taparia, et al.*2026*
2642. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Shan, Kun Zhang, Qiming Xu, et al.*2026*
2643. **[FADE: Probing the Limits of VLMs on fine-grained OCR](https://md.research.elamur.ai/free/en/papers/shah-2026-fade-probing-limits-vlms-fine/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Deep Shah, Nehal Kathrotia, Sanket Badhe*2026*
2644. **[FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs](https://md.research.elamur.ai/free/en/papers/shi-2026-fairgamer-evaluating-social-biases-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingkang Shi, Jen-tse Huang, Luo Long, et al.*2026*
2645. **[Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*
2646. **[FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation Autonomy](https://md.research.elamur.ai/free/en/papers/yan-2026-falconcopilot-empowering-llms-integrated-human/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyuan Yan, Qingchen Liu, Qichao Ma, et al.*2026*
2647. **[FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments](https://md.research.elamur.ai/free/en/papers/saeidi-2026-fama-failure-aware-meta-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.*2026*
2648. **[FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-fedgui-benchmarking-federated-gui-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**WenHao Wang, Haoting Shi, Mengying Yuan, et al.*2026*
2649. **[Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management](https://md.research.elamur.ai/free/en/papers/ma-2026-fine-mem-fine-grained-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weitao Ma, Xiaocheng Feng, Lei Huang, et al.*2026*
2650. **[Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-tuning-vs-rag-multi/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.*2026*
2651. **[Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas](https://md.research.elamur.ai/free/en/papers/stahelin-2026-fine-tuning-hierarchical-prompting-robust/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lukas Stähelin, Veronika Solopova, Max Upravitelev, et al.*2026*
2652. **[FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation](https://md.research.elamur.ai/free/en/papers/oh-2026-finest-improving-llm-responses-sensitive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juhyun Oh, Nayeon Lee, Chani Jung, et al.*2026*
2653. **[FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis](https://md.research.elamur.ai/free/en/papers/yang-2026-finmragbench-realistic-complex-benchmark-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shouqing Yang, Qi Zhang, Yuhang Yang, et al.*2026*
2654. **[Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format](https://md.research.elamur.ai/free/en/papers/wang-2026-format-adapter-improving-reasoning-capability/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, et al.*2026*
2655. **[From Adoption to Adaptation: Tracing the Diffusion of New Emojis on Twitter](https://md.research.elamur.ai/free/en/papers/zhou-2026-adoption-adaptation-tracing-diffusion-new/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Yuhang Zhou, Xuan Lu, Wei Ai*2026*
2656. **[From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation](https://md.research.elamur.ai/free/en/papers/maimon-2026-benchmarks-skills-low-rank-factors/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aviya Maimon, Amir David Nisan Cohen, Gal Vishne, et al.*2026*
2657. **[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*
2658. **[From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-experience-skill-multi-agent-generative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beining Wu, Fuyou Mao, Jiong Lin, et al.*2026*
2659. **[From Explicit to Implicit: A Theoretical Framework and Transfer Method for Preference Internalization in Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-explicit-implicit-theoretical-framework-transfer/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Binrui Wang, Yongping Du, Yu Pei, et al.*2026*
2660. **[From Questions to Assessment Tuples: A Multi-Agent Framework with Bloom-Specialized Agents and Automated Verification](https://md.research.elamur.ai/free/en/papers/wong-2026-questions-assessment-tuples-multi-agent/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Gee-Lyle Wong, Runcong Zhao, Yulan He, et al.*2026*
2661. **[From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability](https://md.research.elamur.ai/free/en/papers/yang-2026-regulatory-approvals-patents-cross-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingqing Yang, Haijiang Liu, Moyan Li*2026*
2662. **[From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning](https://md.research.elamur.ai/free/en/papers/purohit-2026-tokens-steps-verification-aware-speculative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kiran Purohit, Ramasuri Narayanam, Soumyabrata Pal*2026*
2663. **[FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-ftibsuite-comprehensive-resource-suite-tibetan/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guixian Xu, Yide Liang, Zeli Su, et al.*2026*
2664. **[FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-fusionflow-enabling-deep-structural-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.*2026*
2665. **[G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2026-g-hirel-enhancing-adaption-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yudai Pan, Jiajie Hong, Tianzhe Zhao, et al.*2026*
2666. **[G-LoRA: Global-Local Decoupled Low-Rank Adaptation](https://md.research.elamur.ai/free/en/papers/xiong-2026-g-lora-global-local-decoupled/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiahao Xiong, Yihong Huang, Yihe Liu, et al.*2026*
2667. **[GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-gala-hypergraph-guided-visual-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Wang, Li Yiming, Mingcheng Qu, et al.*2026*
2668. **[GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-gameplayqa-benchmarking-framework-decision-dense/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunzhe Wang, Runhui Xu, Kexin Zheng, et al.*2026*
2669. **[GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification](https://md.research.elamur.ai/free/en/papers/khamis-2026-gatech-abjadgeneval-shared-task-multilingual/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ahmed Khamis*2026*
2670. **[GateKD: Confidence-Gated Closed-Loop Distillation for Robust Reasoning](https://md.research.elamur.ai/free/en/papers/sermsri-2026-gatekd-confidence-gated-closed-loop/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Kasidit Sermsri, Teerapong Panboonyuen*2026*
2671. **[Gender and Politeness Perception: A Novel Approach for Exploring Annotations Disagreement](https://md.research.elamur.ai/free/en/papers/aljanaideh-2026-gender-politeness-perception-novel-approach/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ahmad Aljanaideh*2026*
2672. **[Gender Disparities in LLM-Based Intimate Partner Violence Detection](https://md.research.elamur.ai/free/en/papers/prama-2026-gender-disparities-llm-based-intimate/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Tabia Tanzin Prama, Mikaela Irene Fudolig, Abigail M. Crocker, et al.*2026*
2673. **[Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-generalizing-trust-weak-strong-trustworthiness/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lillian Sun, Martin Pawelczyk, Zhenting Qi, et al.*2026*
2674. **[Generative Gamer: Learning Equilibrium Strategy by LLM-driven Dynamic Deduction](https://md.research.elamur.ai/free/en/papers/zhang-2026-generative-gamer-learning-equilibrium-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yadong Zhang, Xinshu Shen, Yupei Ren, et al.*2026*
2675. **[GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling](https://md.research.elamur.ai/free/en/papers/xu-2026-genesisfunc-multi-agent-data-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao-Xiang Xu, Chong Deng, Jiaqing Liu, et al.*2026*
2676. **[GenProve: Learning to Generate Text with Fine-Grained Provenance](https://md.research.elamur.ai/free/en/papers/wei-2026-genprove-learning-generate-text-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, et al.*2026*
2677. **[GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-geometryzero-advancing-geometry-solving-group/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yikun Wang, Yibin Wang, Dianyi Wang, et al.*2026*
2678. **[Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-ghost-shell-synonym-aware-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*
2679. **[GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*
2680. **[GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models](https://md.research.elamur.ai/free/en/papers/ruan-2026-gift-guided-fine-tuning-transfer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.*2026*
2681. **[GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization](https://md.research.elamur.ai/free/en/papers/tolstykh-2026-gigacheck-detecting-llm-generated-content/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.*2026*
2682. **[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*
2683. **[GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-grace-generative-approach-better-confidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaohan Zhang, Ziquan Liu, Ioannis Patras*2026*
2684. **[GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-grasprune-global-gating-budgeted-structured/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.*2026*
2685. **[GSI:detect - A Perspectivist Approach to Gender Stereotypes Identification in Italian](https://md.research.elamur.ai/free/en/papers/testa-2026-gsi-detect-perspectivist-approach-gender/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Davide Testa, Sofia Brenna, Manuela Speranza, et al.*2026*
2686. **[GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-gsm-noise-exploring-enhancing-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengxin Zhang, Chengyu Huang, Xufu Liu, et al.*2026*
2687. [**Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor arXiv:2603.17759**Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sharshar-2026-harm-humor-multimodal-multilingual-benchmark/)
2688. **[HCMUSDroneBoys at SemEval-2026 Task 11: Asymmetric Counterfactual Debiasing and Rank-Sensitive Logical Invariance Adaptation for Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/tran-2026-hcmusdroneboys-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nguyen Tran, Duy Minh Dao Sy, Trung Kiet Huynh, et al.*2026*
2689. **[Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Selina Meyer, Magdalena Abel, Michael Roth*2026*
2690. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*
2691. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
2692. **[Helpful or Harmful? The Dual Role of Linguistic Features in LLM-Based Dialectal Machine Translation](https://md.research.elamur.ai/free/en/papers/dahou-2026-helpful-or-harmful-dual-role/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdelhalim Hafedh Dahou, Mohamed Amine Cheragui*2026*
2693. **[HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/shi-2026-heterocache-dynamic-retrieval-approach-heterogeneous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.*2026*
2694. **[Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?](https://md.research.elamur.ai/free/en/papers/renduchintala-2026-heterogeneity-formal-linguistic-competence-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**H S V N S Kowndinya Renduchintala, Sumit Bhatia*2026*
2695. **[HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*
2696. **[How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study](https://md.research.elamur.ai/free/en/papers/yang-2026-how-do-llms-vlms-understand/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Ping Jian, Zhongbin Guo, et al.*2026*
2697. [**How English Print Media Frames Human-Elephant Conflicts in India arXiv:2604.21496**Bonala Sai Punith, Salveru Jayati, Garima Shakya, et al.*2026*](https://md.research.elamur.ai/free/en/papers/punith-2026-english-print-media-frames-human/)
2698. **[How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*
2699. **[How Foundation Models Behave for Arabic Image Captioning?](https://md.research.elamur.ai/free/en/papers/dahimi-2026-how-foundation-models-behave-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Khaoula Dahimi, Amel Belabbaci, Hadda Cherroun, et al.*2026*
2700. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026*

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