--- title: "Papers of 2023 — page 7" description: "Papers of 2023: 769 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/papers/2023/page/7/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2023/page/7/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2023 # Papers of 2023 — page 7 769 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2023/page/6/) [1](https://md.research.elamur.ai/free/en/papers/2023/) … [6](https://md.research.elamur.ai/free/en/papers/2023/page/6/) **7** [8](https://md.research.elamur.ai/free/en/papers/2023/page/8/) [next →](https://md.research.elamur.ai/free/en/papers/2023/page/8/) - [Skywork: A More Open Bilingual Foundation Model](https://md.research.elamur.ai/free/en/papers/wei-2023-skywork-more-open-bilingual/) — Tianwen Wei, Liang Zhao, Lichang Zhang, et al. · arXiv:2310.19341 - [Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German](https://md.research.elamur.ai/free/en/papers/yang-2023-slaapte-or-sliep-extending-neural/) — Xiulin Yang, Jingyan Chen, Arjan van Eerden, et al. · English - [SLiC-HF: Sequence Likelihood Calibration with Human Feedback](https://md.research.elamur.ai/free/en/papers/zhao-2023-slic-hf-sequence-likelihood-calibration/) — Yao Zhao, Rishabh Joshi, Tianqi Liu, et al. · arXiv:2305.10425 - [SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks](https://md.research.elamur.ai/free/en/papers/robey-2023-smoothllm-defending-large-language-models/) — Alexander Robey, Eric Wong, Hamed Hassani, et al. · arXiv:2310.03684 - [SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/) — Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al. · Proceedings of the 2023 Conference on Empirical… - [Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification](https://md.research.elamur.ai/free/en/papers/zhou-2023-solving-challenging-math-word-problems/) — Aojun Zhou, Ke Wang, Zimu Lu, et al. · arXiv:2308.07921 - [Some Considerations in the Construction of a Historical Language WordNet](https://md.research.elamur.ai/free/en/papers/khan-2023-some-considerations-construction-historical-language/) — Anas Fahad Khan, John P. McCrae, Francisco Javier Minaya Gómez, et al. · English - [SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents](https://md.research.elamur.ai/free/en/papers/zhou-2023-sotopia-interactive-evaluation-social-intelligence/) — Xuhui Zhou, Hao Zhu, Leena Mathur, et al. · arXiv:2310.11667 - [Sources of Hallucination by Large Language Models on Inference Tasks](https://md.research.elamur.ai/free/en/papers/mckenna-2023-sources-hallucination-large-language-models/) — Nick McKenna, Tianyi Li, Liang Cheng, et al. · Findings of the Association for Computational… - [Sparks of Artificial General Intelligence: Early experiments with GPT-4](https://md.research.elamur.ai/free/en/papers/bubeck-2023-sparks-artificial-general-intelligence-early/) — Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al. · arXiv:2303.12712 - [Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4](https://md.research.elamur.ai/free/en/papers/chang-2023-speak-memory-archaeology-books-known/) — Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al. · Proceedings of the 2023 Conference on Empirical… - [Specializing Smaller Language Models towards Multi-Step Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2023-specializing-smaller-language-models-towards/) — Yao Fu, Hao Peng, Litu Ou, et al. · arXiv:2301.12726 - [SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/) — Dong Zhang, Shimin Li, Xin Zhang, et al. · Findings of the Association for Computational… - [SqueezeLLM: Dense-and-Sparse Quantization](https://md.research.elamur.ai/free/en/papers/kim-2023-squeezellm-dense-sparse-quantization/) — Sehoon Kim, Coleman Hooper, Amir Gholami, et al. · arXiv:2306.07629 - [Stance Detection on Social Media with Background Knowledge](https://md.research.elamur.ai/free/en/papers/li-2023-stance-detection-social-media-background/) — Ang Li, Bin Liang, Jingqian Zhao, et al. · Proceedings of the 2023 Conference on Empirical… - [Steering Language Models With Activation Engineering](https://md.research.elamur.ai/free/en/papers/turner-2023-steering-language-models-activation-engineering/) — Alexander Matt Turner, Lisa Thiergart, Gavin Leech, et al. · arXiv:2308.10248 - [Stem Configurations, Lexical Items, and Phonological Words in Maltese](https://md.research.elamur.ai/free/en/papers/lingbulk-2023-puech-stem-configurations-lexical-items-phonological/) — Gilbert Puech · Semitic languages - [Stylistic Motivation in Amharic Media Language Use](https://md.research.elamur.ai/free/en/papers/mekonnen-2023-stylistic-motivation-amharic-media-language/) — A.M. Mekonnen, E. Hussien · Язык и текст 10 - [Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/) — Michael Wilson, Zhenghao Zhou, Robert Frank · Mova's core list - [Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-summary-chatgpt-related-research-perspective/) — Yiheng Liu, Tianle Han, Siyuan Ma, et al. · arXiv:2304.01852 · Meta-Radiology (2023)100017 - [Supremacy of suprasegmentals in Arabic phonology: Evidence from malapropisms](https://md.research.elamur.ai/free/en/papers/guba-2023-supremacy-suprasegmentals-arabic-phonology-evidence/) — Mohammed Nour Abu Guba, Bassil Mashaqba, Anas Huneety, et al. · East European Journal of Psycholinguistics 10 - [Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/) — Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al. · arXiv:2310.07521 - [Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/) — Liunian Harold Li, Jack Hessel, Youngjae Yu, et al. · Proceedings of the 61st Annual Meeting of the… - [Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/) — Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al. · Proceedings of the 2023 Conference on Empirical… - [Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text](https://md.research.elamur.ai/free/en/papers/bahar-2023-take-hint-improving-arabic-diacritization/) — Parnia Bahar, Mattia Di Gangi, Nick Rossenbach, et al. · arXiv:2306.03557 - [Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-taqyim-evaluating-arabic-nlp-tasks/) — Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al. · arXiv:2306.16322 - [TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://md.research.elamur.ai/free/en/papers/kadaoui-2023-tarjamat-evaluation-bard-chatgpt-machine/) — Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al. · Proceedings of ArabicNLP 2023 - [Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) — Akari Asai, Timo Schick, Patrick Lewis, et al. · Findings of the Association for Computational… - [Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing](https://md.research.elamur.ai/free/en/papers/li-2023-task-aware-self-supervised-framework/) — Wei Li, Luyao Zhu, Wei Shao, et al. · Findings of the Association for Computational… - [TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings](https://md.research.elamur.ai/free/en/papers/hanley-2023-tata-stance-detection-topic-agnostic/) — Hans Hanley, Zakir Durumeric · Proceedings of the 2023 Conference on Empirical… - [Teaching Small Language Models to Reason](https://md.research.elamur.ai/free/en/papers/magister-2023-teaching-small-language-models-reason/) — Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al. · Proceedings of the 61st Annual Meeting of the… - [Temporal Relation Classification in Hebrew](https://md.research.elamur.ai/free/en/papers/narr-2023-yanko-temporal-relation-classification-hebrew/) — Guy Yanko, Shahaf Pariente, Kfir Bar · Modern Hebrew - [TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2023-teprompt-task-enlightenment-prompt-learning/) — Wei Xiang, Chao Liang, Bang Wang · Findings of the Association for Computational… - [Testing the Predictions of Surprisal Theory in 11 Languages](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/) — Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al. · Transactions of the Association for… - [Text Classification via Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2023-text-classification-large-language-models/) — Xiaofei Sun, Xiaoya Li, Jiwei Li, et al. · Findings of the Association for Computational… - [Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/) — Dawei Gao, Haibin Wang, Yaliang Li, et al. · arXiv:2308.15363 - [Textbooks Are All You Need II: phi-1.5 technical report](https://md.research.elamur.ai/free/en/papers/li-2023-textbooks-all-need-ii-phi/) — Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, et al. · arXiv:2309.05463 - [Textual reading of issues in Arabic grammar](https://md.research.elamur.ai/free/en/papers/anon-2023-textual-reading-issues-arabic-grammar/) — م.د. علي رزاق شياع · مجلة اداب ذي قار 1 - [The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants](https://md.research.elamur.ai/free/en/papers/bandarkar-2023-belebele-benchmark-parallel-reading-comprehension/) — Lucas Bandarkar, Davis Liang, Benjamin Muller, et al. · arXiv:2308.16884 · Proceedings of the 62nd… - [The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset](https://md.research.elamur.ai/free/en/papers/lauren-2023-ccon-bigscience-roots-corpus-1-6tb/) — Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al. · arXiv:2303.03915 - [The Capacity for Moral Self-Correction in Large Language Models](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/) — Deep Ganguli, Amanda Askell, Nicholas Schiefer, et al. · arXiv:2302.07459 - [The Curse of Recursion: Training on Generated Data Makes Models Forget](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/) — Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al. · arXiv:2305.17493 - [The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)](https://md.research.elamur.ai/free/en/papers/yang-2023-dawn-lmms-preliminary-explorations-gpt/) — Zhengyuan Yang, Linjie Li, Kevin Lin, et al. · arXiv:2309.17421 - [The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/) — Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al. · Proceedings of the Eighth Conference on Machine… - [The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://md.research.elamur.ai/free/en/papers/braud-2023-disrpt-2023-shared-task-elementary/) — Chloé Braud, Yang Janet Liu, Eleni Metheniti, et al. · English - [The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/akerman-2023-ebible-corpus-data-model-benchmarks/) — Vesa Akerman, David Baines, Damien Daspit, et al. · Machine translation - [The English past tense as a definite description](https://md.research.elamur.ai/free/en/papers/zhao-2023-english-past-tense-as-definite/) — Ruoying Zhao · English - [The Falcon Series of Open Language Models](https://md.research.elamur.ai/free/en/papers/almazrouei-2023-falcon-series-open-language-models/) — Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al. · arXiv:2311.16867 - [The False Promise of Imitating Proprietary LLMs](https://md.research.elamur.ai/free/en/papers/gudibande-2023-false-promise-imitating-proprietary-llms/) — Arnav Gudibande, Eric Wallace, Charlie Snell, et al. · arXiv:2305.15717 - [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/) — Shayne Longpre, Le Hou, Tu Vu, et al. · arXiv:2301.13688 - [The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets](https://md.research.elamur.ai/free/en/papers/marks-2023-geometry-truth-emergent-linear-structure/) — Samuel Marks, Max Tegmark · arXiv:2310.06824 - [The Internal State of an LLM Knows When It's Lying](https://md.research.elamur.ai/free/en/papers/azaria-2023-internal-state-llm-knows-when/) — Amos Azaria, Tom Mitchell · Findings of the Association for Computational… - [The intersection of syntax and poetry in the first Hebrew acrostic poem of Lamentations 1](https://md.research.elamur.ai/free/en/papers/hbo-2023-naude-intersection-syntax-poetry-first-hebrew/) — Jacobus A. Naudé, Cynthia L. Miller-Naudé · Ancient Hebrew - [The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/loakman-2023-iron-ic-melting-pot-reviewing/) — Tyler Loakman, Aaron Maladry, Chenghua Lin · Findings of the Association for Computational… - [The Linear Representation Hypothesis and the Geometry of Large Language Models](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/) — Kiho Park, Yo Joong Choe, Victor Veitch · arXiv:2311.03658 · In Proceedings of the 41st… - [The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/) — Edwin Agnew, Michelle Qiu, Lily Zhu, et al. · Machine translation - [The mysterious Hebrew word שׂרקים in Zechariah 1:8](https://md.research.elamur.ai/free/en/papers/chia-2023-mysterious-hebrew-word-zechariah-1/) — Philip S. Chia · Verbum et Ecclesia 44 - [The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) — Zhiheng Xi, Wenxiang Chen, Xin Guo, et al. · arXiv:2309.07864 - [The syntax of functional left peripheries: Clause typing in West Germanic and beyond](https://md.research.elamur.ai/free/en/papers/atkari-2023-syntax-functional-left-peripheries/) — Julia Bacskai-Atkari · English - [The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment](https://md.research.elamur.ai/free/en/papers/findings-2023-hagag-truth-whole-truth-nothing-but/) — Ben Hagag, Reut Tsarfaty · Modern Hebrew - [The Universal Anaphora Scorer 2.0](https://md.research.elamur.ai/free/en/papers/yu-2023-universal-anaphora-scorer-2-0/) — Juntao Yu, Michal Novák, Abdulrahman Aloraini, et al. · Proceedings of the 15th International… - [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) — Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al. · arXiv:2312.01552 - [The User-Aware Arabic Gender Rewriter](https://md.research.elamur.ai/free/en/papers/alhafni-2023-user-aware-arabic-gender-rewriter/) — Bashar Alhafni, Ossama Obeid, Nizar Habash · Proceedings of the First Workshop on… - [TheoremQA: A Theorem-driven Question Answering Dataset](https://md.research.elamur.ai/free/en/papers/chen-2023-theoremqa-theorem-driven-question-answering/) — Wenhu Chen, Ming Yin, Max Ku, et al. · Proceedings of the 2023 Conference on Empirical… - [TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) — Prateek Yadav, Derek Tam, Leshem Choshen, et al. · arXiv:2306.01708 - [Time Travel in LLMs: Tracing Data Contamination in Large Language Models](https://md.research.elamur.ai/free/en/papers/golchin-2023-time-travel-llms-tracing-data/) — Shahriar Golchin, Mihai Surdeanu · arXiv:2308.08493 - [TinyStories: How Small Can Language Models Be and Still Speak Coherent English?](https://md.research.elamur.ai/free/en/papers/eldan-2023-tinystories-small-language-models-still/) — Ronen Eldan, Yuanzhi Li · English - [Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/swaminathan-2023-token-level-identification-multiword-expressions/) — Raghuraman Swaminathan, Paul Cook · Proceedings of the 19th Workshop on Multiword… - [Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) — Yujia Qin, Shengding Hu, Yankai Lin, et al. · arXiv:2304.08354 - [ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases](https://md.research.elamur.ai/free/en/papers/tang-2023-toolalpaca-generalized-tool-learning-language/) — Qiaoyu Tang, Ziliang Deng, Hongyu Lin, et al. · arXiv:2306.05301 - [Toolformer: Language Models Can Teach Themselves to Use Tools](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) — Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al. · arXiv:2302.04761 - [ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings](https://md.research.elamur.ai/free/en/papers/hao-2023-toolkengpt-augmenting-frozen-language-models/) — Shibo Hao, Tianyang Liu, Zhen Wang, et al. · arXiv:2305.11554 - [ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/) — Yujia Qin, Shihao Liang, Yining Ye, et al. · arXiv:2307.16789 - [ToolQA: A Dataset for LLM Question Answering with External Tools](https://md.research.elamur.ai/free/en/papers/zhuang-2023-toolqa-dataset-llm-question-answering/) — Yuchen Zhuang, Yue Yu, Kuan Wang, et al. · arXiv:2306.13304 - [Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/) — Erik Arakelyan, Arnav Arora, Isabelle Augenstein · Proceedings of the 61st Annual Meeting of the… - [ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · arXiv:2309.17452 - [Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts](https://md.research.elamur.ai/free/en/papers/hbo-2023-suissa-toward-period-specific-optimized-neural/) — Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech · Ancient Hebrew - [Towards Arabic Multimodal Dataset for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/haouhat-2023-towards-arabic-multimodal-dataset-sentiment/) — Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al. · arXiv:2306.06322 - [Towards Effective Disambiguation for Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/iyer-2023-effective-disambiguation-machine-translation-large/) — Vivek Iyer, Pinzhen Chen, Alexandra Birch · Proceedings of the Eighth Conference on Machine… - [Towards Expert-Level Medical Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/singhal-2023-towards-expert-level-medical-question/) — Karan Singhal, Tao Tu, Juraj Gottweis, et al. · arXiv:2305.09617 - [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2023-towards-general-text-embeddings-multi/) — Zehan Li, Xin Zhang, Yanzhao Zhang, et al. · arXiv:2308.03281 - [Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/) — Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al. · Proceedings of the 61st Annual Meeting of the… - [Towards Making the Most of ChatGPT for Machine Translation](https://md.research.elamur.ai/free/en/papers/peng-2023-making-most-chatgpt-machine-translation/) — Keqin Peng, Liang Ding, Qihuang Zhong, et al. · Findings of the Association for Computational… - [Towards Measuring the Representation of Subjective Global Opinions in Language Models](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/) — Esin Durmus, Karina Nguyen, Thomas I. 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