--- title: "Papers of 2023 — page 11 — 1,691 papers, the most cited first" description: "Papers of 2023: 1,691 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/11/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2023/page/11/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2023 # Papers of 2023 — page 11 1,691 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2023/page/10/) [1](https://md.research.elamur.ai/free/en/papers/2023/) … [10](https://md.research.elamur.ai/free/en/papers/2023/page/10/) **11** [12](https://md.research.elamur.ai/free/en/papers/2023/page/12/) … [17](https://md.research.elamur.ai/free/en/papers/2023/page/17/) [next →](https://md.research.elamur.ai/free/en/papers/2023/page/12/) - [Lost in Translation: Large Language Models in Non-English Content Analysis arXiv:2306.07377](https://md.research.elamur.ai/free/en/papers/nicholas-2023-lost-translation-large-language-models/) — Gabriel Nicholas, Aliya Bhatia · 2023 · 45 citations **[QAmeleon: Multilingual QA with Only 5 Examples](https://md.research.elamur.ai/free/en/papers/agrawal-2023-qameleon-multilingual-qa-only-5/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Priyanka Agrawal, Chris Alberti, Fantine Huot, et al.*2023 · 45 citations* - [Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/) — Armen Aghajanyan, Lili Yu, Alexis Conneau, et al. · 2023 · 45 citations - [Understanding Catastrophic Forgetting in Language Models via Implicit Inference arXiv:2309.10105](https://md.research.elamur.ai/free/en/papers/kotha-2023-understanding-catastrophic-forgetting-language-models/) — Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan · 2023 · 45 citations **[Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiaoming Shi, Siqiao Xue, Kangrui Wang, et al.*2023 · 44 citations* **[Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media](https://md.research.elamur.ai/free/en/papers/mets-2023-automated-stance-detection-complex-topics/) [PLoS ONE](https://md.research.elamur.ai/free/en/venues/plos-one/)**Mark Mets, Andres Karjus, Indrek Ibrus, et al.*2023 · 43 citations* - [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer arXiv:2306.07799](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/) — Dongqi Liu, Vera Demberg · 2023 · 43 citations - [Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models arXiv:2308.11764](https://md.research.elamur.ai/free/en/papers/elaraby-2023-halo-estimation-reduction-hallucinations-open/) — Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al. · 2023 · 43 citations - [Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages arXiv:2308.12038](https://md.research.elamur.ai/free/en/papers/hu-2023-large-multilingual-models-pivot-zero/) — Jinyi Hu, Yuan Yao, Chongyi Wang, et al. · 2023 · 43 citations - [Goal Driven Discovery of Distributional Differences via Language Descriptions arXiv:2302.14233](https://md.research.elamur.ai/free/en/papers/zhong-2023-goal-driven-discovery-distributional-differences/) — Ruiqi Zhong, Peter Zhang, Steve Li, et al. · 2023 · 42 citations **[Paloma: A Benchmark for Evaluating Language Model Fit](https://md.research.elamur.ai/free/en/papers/magnusson-2023-paloma-benchmark-evaluating-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.*2023 · 42 citations* - [SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models arXiv:2311.08370](https://md.research.elamur.ai/free/en/papers/vidgen-2023-simplesafetytests-test-suite-identifying-critical/) — Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, et al. · 2023 · 42 citations **[The ROOTS Search Tool: Data Transparency for LLMs](https://md.research.elamur.ai/free/en/papers/piktus-2023-roots-search-tool-data-transparency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aleksandra Piktus, Christopher Akiki, Paulo Villegas, et al.*2023 · 42 citations* - [When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks arXiv:2311.08993](https://md.research.elamur.ai/free/en/papers/peng-2023-context-learning-fall-short-why/) — Hao Peng, Xiaozhi Wang, Jianhui Chen, et al. · 2023 · 42 citations - [xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval arXiv:2303.03004](https://md.research.elamur.ai/free/en/papers/khan-2023-xcodeeval-large-scale-multilingual-multitask/) — Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al. · 2023 · 42 citations - [Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models arXiv:2307.16180](https://md.research.elamur.ai/free/en/papers/pan-2023-llms-possess-personality-making-mbti/) — Keyu Pan, Yawen Zeng · 2023 · 41 citations **[EPIC: Multi-Perspective Annotation of a Corpus of Irony](https://md.research.elamur.ai/free/en/papers/frenda-2023-epic-multi-perspective-annotation-corpus/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Simona Frenda, Alessandro Pedrani, Valerio Basile, et al.*2023 · 41 citations* **[Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation](https://md.research.elamur.ai/free/en/papers/pal-2023-findings-wmt-2023-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Santanu Pal, Partha Pakray, Sahinur Rahman Laskar, et al.*2023 · 41 citations* **[MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks](https://md.research.elamur.ai/free/en/papers/nie-2023-moca-measuring-human-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.*2023 · 41 citations* - [SALMON: Self-Alignment with Instructable Reward Models arXiv:2310.05910](https://md.research.elamur.ai/free/en/papers/sun-2023-salmon-self-alignment-instructable-reward/) — Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al. · 2023 · 41 citations - [The MiniPile Challenge for Data-Efficient Language Models arXiv:2304.08442](https://md.research.elamur.ai/free/en/papers/kaddour-2023-minipile-challenge-data-efficient-language/) — Jean Kaddour · 2023 · 41 citations **[Automatic Evaluation and Analysis of Idioms in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/baziotis-2023-automatic-evaluation-analysis-idioms-neural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Christos Baziotis, Prashant Mathur, Eva Hasler*2023 · 40 citations* - [How FaR Are Large Language Models From Agents with Theory-of-Mind? arXiv:2310.03051](https://md.research.elamur.ai/free/en/papers/zhou-2023-far-large-language-models-agents/) — Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, et al. · 2023 · 40 citations - [Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis](https://md.research.elamur.ai/free/en/papers/giulianelli-2023-definition-generation-senses/) — Mario Giulianelli, Iris Luden, Raquel Fernandez, et al. · English · 40 citations - [PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing arXiv:2303.10845](https://md.research.elamur.ai/free/en/papers/ren-2023-pangu-sigma-trillion-parameter/) — Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al. · 2023 · 40 citations **[Sociodemographic Bias in Language Models: A Survey and Forward Path](https://md.research.elamur.ai/free/en/papers/gupta-2023-sociodemographic-bias-language-models-survey/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, et al.*2023 · 40 citations* **[ALDi: Quantifying the Arabic Level of Dialectness of Text](https://md.research.elamur.ai/free/en/papers/keleg-2023-aldi-quantifying-arabic-level-dialectness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2023 · 39 citations* - [Aligning Language Models with Preferences through f-divergence Minimization arXiv:2302.08215](https://md.research.elamur.ai/free/en/papers/go-2023-aligning-language-models-preferences-through/) — Dongyoung Go, Tomasz Korbak, German Kruszewski, et al. · 2023 · 39 citations - [Do large language models resemble humans in language use? arXiv:2303.08014](https://md.research.elamur.ai/free/en/papers/cai-2023-large-language-models-resemble-humans/) — Zhenguang G. Cai, Xufeng Duan, David A. Haslett, et al. · 2023 · 39 citations **[Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)](https://md.research.elamur.ai/free/en/papers/muller-2023-findings-second-wmt-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al.*2023 · 39 citations* **[Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/alhafni-2023-advancements-arabic-grammatical-error-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bashar Alhafni, Go Inoue, Christian Khairallah, et al.*2023 · 38 citations* - [Can Language Models Employ the Socratic Method? Experiments with Code Debugging arXiv:2310.03210](https://md.research.elamur.ai/free/en/papers/al-hossami-2023-language-models-employ-socratic-method/) — Erfan Al-Hossami, Razvan Bunescu, Justin Smith, et al. · 2023 · 38 citations **[Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data](https://md.research.elamur.ai/free/en/papers/akhtar-2023-exploring-numerical-reasoning-capabilities-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.*2023 · 38 citations* **[JASMINE: Arabic GPT Models for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/nagoudi-2023-jasmine-arabic-gpt-models-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.*2023 · 38 citations* **[Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al.*2023 · 38 citations* - [SlimPajama-DC: Understanding Data Combinations for LLM Training arXiv:2309.10818](https://md.research.elamur.ai/free/en/papers/shen-2023-slimpajama-dc-understanding-data-combinations/) — Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al. · 2023 · 38 citations **[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/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Vivek Iyer, Pinzhen Chen, Alexandra Birch*2023 · 38 citations* **[MACSum: Controllable Summarization with Mixed Attributes](https://md.research.elamur.ai/free/en/papers/zhang-2023-macsum-controllable-summarization-mixed-attributes/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yusen Zhang, Yang Liu, Ziyi Yang, et al.*2023 · 37 citations* - [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 · 37 citations - [An Emulator for Fine-Tuning Large Language Models using Small Language Models arXiv:2310.12962](https://md.research.elamur.ai/free/en/papers/mitchell-2023-emulator-fine-tuning-large-language/) — Eric Mitchell, Rafael Rafailov, Archit Sharma, et al. · 2023 · 36 citations - [Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning arXiv:2301.09626](https://md.research.elamur.ai/free/en/papers/ostendorff-2023-efficient-language-model-training-through/) — Malte Ostendorff, Georg Rehm · 2023 · 36 citations - [Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing arXiv:2305.16635](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/) — Jaehun Jung, Peter West, Liwei Jiang, et al. · 2023 · 36 citations - [Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction arXiv:2306.03090](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-teacher-coach-measuring/) — Rose E. Wang, Dorottya Demszky · 2023 · 36 citations **[The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR](https://md.research.elamur.ai/free/en/papers/sanabria-2023-edinburgh-international-accents-english-corpus/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Ramon Sanabria, Nikolay Bogoychev, Nina Markl, et al.*2023 · 36 citations* **[Dolphin: A Challenging and Diverse Benchmark for Arabic NLG](https://md.research.elamur.ai/free/en/papers/nagoudi-2023-dolphin-challenging-diverse-benchmark-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Ahmed Oumar El-Shangiti, et al.*2023 · 35 citations* - [Efficient Online Data Mixing For Language Model Pre-Training arXiv:2312.02406](https://md.research.elamur.ai/free/en/papers/albalak-2023-efficient-online-data-mixing-language/) — Alon Albalak, Liangming Pan, Colin Raffel, et al. · 2023 · 35 citations - [Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models arXiv:2305.09955](https://md.research.elamur.ai/free/en/papers/feng-2023-knowledge-card-filling-llms-knowledge/) — Shangbin Feng, Weijia Shi, Yuyang Bai, et al. · 2023 · 35 citations **[Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialect](https://md.research.elamur.ai/free/en/papers/jbel-2023-sentiment-analysis-dataset-moroccan-dialect/) [Language Resources and Evaluation](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/)**Mouad Jbel, Mourad Jabrane, Imad Hafidi, et al.*2023 · 35 citations* - [Through the Lens of Core Competency: Survey on Evaluation of Large Language Models arXiv:2308.07902](https://md.research.elamur.ai/free/en/papers/zhuang-2023-through-lens-core-competency-survey/) — Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al. · 2023 · 35 citations - [CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization arXiv:2310.10134](https://md.research.elamur.ai/free/en/papers/majumder-2023-clin-continually-learning-language-agent/) — Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al. · 2023 · 34 citations - [M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models arXiv:2305.10263](https://md.research.elamur.ai/free/en/papers/liu-2023-m3ke-massive-multi-level/) — Chuang Liu, Renren Jin, Yuqi Ren, et al. · 2023 · 34 citations - [Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation arXiv:2306.05783](https://md.research.elamur.ai/free/en/papers/gu-2023-xiezhi-ever-updating-benchmark/) — Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al. · 2023 · 34 citations - [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models arXiv:2309.06085](https://md.research.elamur.ai/free/en/papers/leong-2023-bhasa-holistic-southeast-asian-linguistic/) — Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al. · 2023 · 33 citations **[DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models](https://md.research.elamur.ai/free/en/papers/gong-2023-diffuseq-v2-bridging-discrete-continuous/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shansan Gong, Mukai Li, Jiangtao Feng, et al.*2023 · 33 citations* **[FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://md.research.elamur.ai/free/en/papers/riley-2023-frmt-benchmark-few-shot-region/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Parker Riley, Timothy Dozat, Jan A. Botha, et al.*2023 · 33 citations* - [ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code arXiv:2311.09835](https://md.research.elamur.ai/free/en/papers/tang-2023-ml-bench-evaluating-large-language/) — Xiangru Tang, Yuliang Liu, Zefan Cai, et al. · 2023 · 33 citations **[Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2023-qur-qa-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2023 · 33 citations* **[SMATCH++: Standardized and Extended Evaluation of Semantic Graphs](https://md.research.elamur.ai/free/en/papers/opitz-2023-smatch-standardized-extended-evaluation-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juri Opitz*2023 · 33 citations* - [TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer arXiv:2307.14995](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/) — Zhen Qin, Dong Li, Weigao Sun, et al. · 2023 · 33 citations - [Augmented Large Language Models with Parametric Knowledge Guiding arXiv:2305.04757](https://md.research.elamur.ai/free/en/papers/luo-2023-augmented-large-language-models-parametric/) — Ziyang Luo, Can Xu, Pu Zhao, et al. · 2023 · 32 citations - [BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing arXiv:2309.00916](https://md.research.elamur.ai/free/en/papers/wang-2023-blsp-bootstrapping-language-speech-pre/) — Chen Wang, Minpeng Liao, Zhongqiang Huang, et al. · 2023 · 32 citations - [Interpretable Unified Language Checking arXiv:2304.03728](https://md.research.elamur.ai/free/en/papers/zhang-2023-interpretable-unified-language-checking/) — Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al. · 2023 · 32 citations - [LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations arXiv:2305.18354](https://md.research.elamur.ai/free/en/papers/xu-2023-llms-abstraction-reasoning-corpus-successes/) — Yudong Xu, Wenhao Li, Pashootan Vaezipoor, et al. · 2023 · 32 citations - [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods arXiv:2309.10966](https://md.research.elamur.ai/free/en/papers/finkelstein-2023-mbr-qe-finetuning-training-time/) — Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag · 2023 · 32 citations **[PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaolin Zhu, Shangjie Li, Yikun Lei, et al.*2023 · 32 citations* - [PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions arXiv:2305.14908](https://md.research.elamur.ai/free/en/papers/chen-2023-purr-efficiently-editing-language-model/) — Anthony Chen, Panupong Pasupat, Sameer Singh, et al. · 2023 · 32 citations **[Seq2seq is All You Need for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/zhang-2023-seq2seq-is-all-you-need/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenzheng Zhang, Sam Wiseman, Karl Stratos*2023 · 32 citations* - [Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering arXiv:2304.12102](https://md.research.elamur.ai/free/en/papers/li-2023-unlocking-context-constraints-llms-enhancing/) — Yucheng Li · 2023 · 32 citations **[Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation](https://md.research.elamur.ai/free/en/papers/liu-2023-annotation-inspired-implicit-discourse-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Liu, Michael Strube*2023 · 31 citations* **[AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ](https://md.research.elamur.ai/free/en/papers/belouadi-2023-automatikz-text-guided-synthesis-scientific/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Jonas Belouadi, Anne Lauscher, Steffen Eger*2023 · 31 citations* **[Chinese Idiom Paraphrasing](https://md.research.elamur.ai/free/en/papers/qiang-2023-chinese-idiom-paraphrasing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jipeng Qiang, Yang Li, Chaowei Zhang, et al.*2023 · 31 citations* - [GPT-4 Can't Reason arXiv:2308.03762](https://md.research.elamur.ai/free/en/papers/arkoudas-2023-gpt-4-t-reason/) — Konstantine Arkoudas · 2023 · 31 citations - [Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation arXiv:2305.18846](https://md.research.elamur.ai/free/en/papers/kang-2023-knowledge-graph-augmented-language-models/) — Minki Kang, Jin Myung Kwak, Jinheon Baek, et al. · 2023 · 31 citations **[PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition](https://md.research.elamur.ai/free/en/papers/chen-2023-propsegment-large-scale-corpus-proposition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.*2023 · 31 citations* - [The Life Cycle of Knowledge in Big Language Models: A Survey arXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024](https://md.research.elamur.ai/free/en/papers/cao-2023-life-cycle-knowledge-big-language/) — Boxi Cao, Hongyu Lin, Xianpei Han, et al. · 2023 · 31 citations **[Understanding and Bridging the Modality Gap for Speech Translation](https://md.research.elamur.ai/free/en/papers/fang-2023-understanding-bridging-modality-gap-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Fang, Yang Feng*2023 · 31 citations* **[WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task](https://md.research.elamur.ai/free/en/papers/jarrar-2023-wojoodner-2023-first-arabic-named/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mustafa Jarrar, Muhammad Abdul-Mageed, Mohammed Khalilia, et al.*2023 · 31 citations* - [Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions arXiv:2307.13339](https://md.research.elamur.ai/free/en/papers/wu-2023-analyzing-chain-thought-prompting-large/) — Skyler Wu, Eric Meng Shen, Charumathi Badrinath, et al. · 2023 · 30 citations **[C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/zhao-2023-c-stance-large-dataset-chinese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenye Zhao, Yingjie Li, Cornelia Caragea*2023 · 30 citations* - [ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries arXiv:2304.13620](https://md.research.elamur.ai/free/en/papers/rahman-2023-chartsumm-comprehensive-benchmark-automatic-chart/) — Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, et al. · 2023 · 30 citations - [CLASSLA-Stanza: The Next Step for Linguistic Processing of South Slavic Languages arXiv:2308.04255](https://md.research.elamur.ai/free/en/papers/ter-vcon-2023-classla-stanza-next-step-linguistic/) — Luka Terčon, Nikola Ljubešic · 2023 · 30 citations - [How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions arXiv:2309.15840](https://md.research.elamur.ai/free/en/papers/pacchiardi-2023-catch-ai-liar-lie-detection/) — Lorenzo Pacchiardi, Alex J. Chan, Soren Mindermann, et al. · 2023 · 30 citations **[Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/abdallah-2023-leveraging-data-collection-unsupervised-learning/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Ahmed Amine Ben Abdallah, Ata Kabboudi, Amir Kanoun, et al.*2023 · 30 citations* - [Measuring and Modifying Factual Knowledge in Large Language Models arXiv:2306.06264](https://md.research.elamur.ai/free/en/papers/pezeshkpour-2023-measuring-modifying-factual-knowledge-large/) — Pouya Pezeshkpour · 2023 · 30 citations **[N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/talafha-2023-n-shot-benchmarking-whisper-diverse/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Bashar Talafha, Abdul Waheed, Muhammad Abdul-Mageed*2023 · 30 citations* **[Rigorously Assessing Natural Language Explanations of Neurons](https://md.research.elamur.ai/free/en/papers/huang-2023-rigorously-assessing-natural-language-explanations/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Jing Huang, Atticus Geiger, Karel D'Oosterlinck, et al.*2023 · 30 citations* - [The Quantization Model of Neural Scaling arXiv:2303.13506](https://md.research.elamur.ai/free/en/papers/michaud-2023-quantization-model-neural-scaling/) — Eric J. Michaud, Ziming Liu, Uzay Girit, et al. · 2023 · 30 citations **[Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning](https://md.research.elamur.ai/free/en/papers/zheng-2023-click-controllable-text-generation-sequence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chujie Zheng, Pei Ke, Zheng Zhang, et al.*2023 · 29 citations* **[Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/abdulsalam-2023-detecting-suicidality-arabic-tweets-using/) [Arabian Journal for Science and Engineering](https://md.research.elamur.ai/free/en/venues/arabian-journal-for-science-and-engineering/)**Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi*2023 · 29 citations* **[How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure](https://md.research.elamur.ai/free/en/papers/wilson-2023-how-abstract-is-linguistic-generalization/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Michael Wilson, Jackson Petty, Robert Frank*2023 · 29 citations* **[Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning](https://md.research.elamur.ai/free/en/papers/weber-2023-mind-instructions-holistic-evaluation-consistency/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Lucas Weber, Elia Bruni, Dieuwke Hupkes*2023 · 29 citations* **[Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation](https://md.research.elamur.ai/free/en/papers/elmadany-2023-octopus-multitask-model-toolkit-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 29 citations* - [One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support arXiv:2306.09237](https://md.research.elamur.ai/free/en/papers/stern-2023-one-law-many-languages-benchmarking/) — Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al. · 2023 · 29 citations **[SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks](https://md.research.elamur.ai/free/en/papers/jarrar-2023-salma-arabic-sense-annotated-corpus/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mustafa Jarrar, Sanad Malaysha, Tymaa Hammouda, et al.*2023 · 29 citations* **[Sub-Character Tokenization for Chinese Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/si-2023-sub-character-tokenization-chinese-pretrained/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chenglei Si, Zhengyan Zhang, Yingfa Chen, et al.*2023 · 29 citations* - [Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration arXiv:2311.08152](https://md.research.elamur.ai/free/en/papers/xu-2023-towards-reasoning-large-language-models/) — Zhenran Xu, Senbao Shi, Baotian Hu, et al. · 2023 · 29 citations **[A Survey on Asking Clarification Questions Datasets in Conversational Systems](https://md.research.elamur.ai/free/en/papers/rahmani-2023-survey-asking-clarification-questions-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hossein A. Rahmani, Xi Wang, Yue Feng, et al.*2023 · 28 citations* - [A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models arXiv:2306.02254](https://md.research.elamur.ai/free/en/papers/ko-2023-technical-report-polyglot-ko-open/) — Hyunwoong Ko, Kichang Yang, Minho Ryu, et al. · 2023 · 28 citations **[Chain-of-Thought Embeddings for Stance Detection on Social Media](https://md.research.elamur.ai/free/en/papers/gatto-2023-chain-thought-embeddings-stance-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joseph Gatto, Omar Sharif, Sarah M. Preum*2023 · 28 citations* **[Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/jiang-2023-global-local-hierarchy-aware-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxin Jiang, Linhan Zhang, Wei Wang*2023 · 28 citations* [← prev](https://md.research.elamur.ai/free/en/papers/2023/page/10/) [1](https://md.research.elamur.ai/free/en/papers/2023/) … [10](https://md.research.elamur.ai/free/en/papers/2023/page/10/) **11** [12](https://md.research.elamur.ai/free/en/papers/2023/page/12/) … [17](https://md.research.elamur.ai/free/en/papers/2023/page/17/) [next →](https://md.research.elamur.ai/free/en/papers/2023/page/12/)