---
title: "Who cites Jamie Kiros — page 9 — 3,867 papers of our library"
description: "3,867 papers of the Elamur Research library cite the works of Jamie Kiros, found in their bibliographies · page 9 of 9 · 801–843; the most cited first."
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---
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# Who cites Jamie Kiros

3,931 citations of their works from 3,867 papers of our library (of the 149,439 whose bibliographies we read) · 843 with a page here, the most cited first · page 9 of 9 · 801–843 · [← Jamie Kiros](https://md.research.elamur.ai/free/en/authors/jamie-kiros/)

[← prev](https://md.research.elamur.ai/free/en/authors/jamie-kiros/cited-by/page/8/) [1](https://md.research.elamur.ai/free/en/authors/jamie-kiros/cited-by/) … [8](https://md.research.elamur.ai/free/en/authors/jamie-kiros/cited-by/page/8/) **9**

801. **[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*
802. **[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*
803. **[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*
804. **[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*
805. **[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*
806. **[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*
807. **[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*
808. **[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*
809. **[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*
810. **[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*
811. **[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*
812. **[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*
813. **[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*
814. **[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*
815. **[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*
816. **[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*
817. **[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*
818. **[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*
819. **[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*
820. **[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*
821. **[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*
822. **[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*
823. **[TVWorld: Foundations for Remote-Control TV Agents](https://md.research.elamur.ai/free/en/papers/ma-2026-tvworld-foundations-remote-control-tv/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhantao Ma, Quanfeng Lu, Shuai Zhong, et al.*2026*
824. **[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*
825. **[Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes](https://md.research.elamur.ai/free/en/papers/myers-2026-uncovering-hidden-violent-tendencies-llms/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Quintin Myers, Yanjun Gao*2026*
826. **[Understanding Emergent Misalignment via Feature Superposition Geometry](https://md.research.elamur.ai/free/en/papers/minegishi-2026-understanding-emergent-misalignment-feature-superposition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.*2026*
827. **[UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment](https://md.research.elamur.ai/free/en/papers/wang-2026-unisrm-unified-speech-reward-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.*2026*
828. **[v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound](https://md.research.elamur.ai/free/en/papers/shi-2026-v-hub-benchmark-video-humor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.*2026*
829. **[Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/park-2026-verbal-r3-verbal-reranker-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangkwon Park, Donghun Kang, Jisoo Mok, et al.*2026*
830. **[VERICITE: Evaluating Sentence-Level Citation Faithfulness in Retrieval-Augmented Medical Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-vericite-evaluating-sentence-level-citation/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Yixian Ma, Bohao Chu, Norbert Fuhr*2026*
831. **[Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues](https://md.research.elamur.ai/free/en/papers/zhang-2026-vision-language-models-mistake-head/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zory Zhang, Pinyuan Feng, Bingyang Wang, et al.*2026*
832. **[ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*
833. **[When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure](https://md.research.elamur.ai/free/en/papers/xiao-2026-when-correct-beliefs-collapse-epistemic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.*2026*
834. **[When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2026-when-efficiency-meets-safety-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, et al.*2026*
835. **[When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-when-good-ocr-is-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lin Sun, Wangdexian, Jingang Huang, et al.*2026*
836. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/)
837. **[Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?](https://md.research.elamur.ai/free/en/papers/ye-2026-where-do-llms-currently-stand/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Christophe Ye, Cassie S. Mitchell*2026*
838. **[Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-where-paths-split-localized-calibrated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci*2026*
839. **[A MISMATCHED Benchmark for Scientific Natural Language Inference](https://md.research.elamur.ai/free/en/papers/shaik-2025-mismatched-benchmark-scientific-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Firoz Shaik, Mobashir Sadat, Nikita Gautam, et al.*2025*
840. **[mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot Prompting](https://md.research.elamur.ai/free/en/papers/abdou-2025-mucai-ahasis-shared-task-sentiment/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Ahmed Mohamed Abdelaal Abdou*2025*
841. [**MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation arXiv:2508.13130**Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elozeiri-2025-mudric-multi-dialect-reasoning-arabic/)
842. [**Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques**Lang Xiong, Raina Gao, Alyssa Jeong*2025*](https://md.research.elamur.ai/free/en/papers/xiong-2025-sarc7-evaluating-sarcasm-detection-generation/)
843. **[When Does Meaning Backfire? Investigating the Role of AMRs in NLI](https://md.research.elamur.ai/free/en/papers/min-2025-when-does-meaning-backfire-investigating/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Junghyun Min, Xiulin Yang, Shira Wein*2025*

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