---
title: "Language and Linguistics — papers, page 31 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 31 of 93 · 2926–3025, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 31 of 93 · 2926–3025 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers (9,206)

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2926. [**Debiasing Pre-trained Contextualised Embeddings**Masahiro Kaneko, Danushka Bollegala*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kaneko-2021-debiasing-pre-trained-contextualised-embeddings/)
2927. [**KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation**Wenhu Chen, Yu Su, Xifeng Yan, et al.*2020 · 174 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-kgpt-knowledge-grounded-pre-training/)
2928. [**Abstractive Summarization of Reddit Posts with Multi-level Memory Networks**Byeongchang Kim, Hyunwoo Kim, Gunhee Kim*2019 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-abstractive-summarization-reddit-posts-multi/)
2929. [**Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering**Shiyue Zhang, Mohit Bansal*2019 · 174 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-addressing-semantic-drift-question-generation/)
2930. [**Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation**Cunxiang Wang, Shuailong Liang, Yue Zhang, et al.*2019 · 174 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-does-it-make-sense-why/)
2931. [**Reasoning Over Paragraph Effects in Situations**Kevin Lin, Oyvind Tafjord, Peter Clark, et al.*2019 · 174 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-reasoning-over-paragraph-effects-situations/)
2932. [**An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model**Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro*2014 · 174 citations*](https://md.research.elamur.ai/free/en/papers/basile-2014-enhanced-lesk-word-sense-disambiguation/)
2933. [**An “AI readability” Formula for French as a Foreign Language**Thomas François, Cédrick Fairon*2012 · 174 citations*](https://md.research.elamur.ai/free/en/papers/francois-2012-ai-readability-formula-french-as/)
2934. [**Unsupervised Learning of Morphology**Harald Hammarström, Lars Borin*2011 · 174 citations*](https://md.research.elamur.ai/free/en/papers/hammarstrom-2011-unsupervised-learning-morphology/)
2935. [**Phrasetable Smoothing for Statistical Machine Translation**George Foster, Roland Kuhn, Howard Johnson*2006 · 174 citations*](https://md.research.elamur.ai/free/en/papers/foster-2006-phrasetable-smoothing-statistical-machine-translation/)
2936. [**International Standard for a Linguistic Annotation Framework**Nancy Ide, Laurent Romary, Eric de la Clergerie*2003 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ide-2003-international-standard-linguistic-annotation-framework/)
2937. [**Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences**Hong Yu, Vasileios Hatzivassiloglou*2003 · 174 citations*](https://md.research.elamur.ai/free/en/papers/yu-2003-answering-opinion-questions-separating-facts/)
2938. [**Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs**Shengbang Tong, Ellis Brown, Penghao Wu, et al.*2024 · 173 citations*](https://md.research.elamur.ai/free/en/papers/tong-2024-cambrian-1-fully-open-vision/)
2939. [**ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases**Qiaoyu Tang, Ziliang Deng, Hongyu Lin, et al.*2023 · 173 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-toolalpaca-generalized-tool-learning-language/)
2940. [**Language Models are Few-shot Multilingual Learners**Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/winata-2021-language-models-are-few-shot/)
2941. [**Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chauhan-2020-sentiment-emotion-help-sarcasm-multi/)
2942. [**Unsupervised Opinion Summarization as Copycat-Review Generation**Arthur Bražinskas, Mirella Lapata, Ivan Titov*2020 · 173 citations*](https://md.research.elamur.ai/free/en/papers/brazinskas-2020-unsupervised-opinion-summarization-as-copycat/)
2943. [**Controllable Paraphrase Generation with a Syntactic Exemplar**Mingda Chen, Qingming Tang, Sam Wiseman, et al.*2019 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-controllable-paraphrase-generation-syntactic-exemplar/)
2944. [**Findings of the WMT 2019 Shared Tasks on Quality Estimation**Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, et al.*2019 · 173 citations*](https://md.research.elamur.ai/free/en/papers/fonseca-2019-findings-wmt-2019-shared-tasks/)
2945. [**Who did What: A Large-Scale Person-Centered Cloze Dataset**Takeshi Onishi, Hai Wang, Mohit Bansal, et al.*2016 · 173 citations*](https://md.research.elamur.ai/free/en/papers/onishi-2016-who-did-what-large-scale/)
2946. [**LEXCONN: A French Lexicon of Discourse Connectives**Charlotte Roze, Laurence Danlos, Philippe Muller*2012 · 173 citations*](https://md.research.elamur.ai/free/en/papers/roze-2012-lexconn-french-lexicon-discourse-connectives/)
2947. [**The First Surface Realisation Shared Task: Overview and Evaluation Results**Anja Belz, Michael White, Dominic Espinosa, et al.*2011 · 173 citations*](https://md.research.elamur.ai/free/en/papers/belz-2011-first-surface-realisation-shared-task/)
2948. [**Learning to Translate with Source and Target Syntax**David Chiang*2010 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2010-learning-translate-source-target-syntax/)
2949. [**Unsupervised Recognition of Literal and Non-Literal Use of Idiomatic Expressions**Caroline Sporleder, Linlin Li*2009 · 173 citations*](https://md.research.elamur.ai/free/en/papers/sporleder-2009-unsupervised-recognition-literal-non-literal/)
2950. [**Modeling English Past Tense Intuitions with Minimal Generalization**Adam Albright, Bruce Hayes*2002 · 173 citations*](https://md.research.elamur.ai/free/en/papers/albright-2002-modeling-english-past-tense-intuitions/)
2951. [**DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text**Jinyan Su, Terry Zhuo, Di Wang, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/)
2952. [**OpenChat: Advancing Open-source Language Models with Mixed-Quality Data**Guan Wang, Sijie Cheng, Xianyuan Zhan, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-openchat-advancing-open-source-language/)
2953. [**ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering**Zhiyu Chen, Shiyang Li, Charese Smiley, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-convfinqa-exploring-chain-numerical-reasoning/)
2954. [**Lifting the Curse of Multilinguality by Pre-training Modular Transformers**Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/)
2955. [**Improving Machine Reading Comprehension with General Reading Strategies**Kai Sun, Dian Yu, Dong Yu, et al.*2019 · 172 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-improving-machine-reading-comprehension-general/)
2956. [**Multilingual Neural Machine Translation with Language Clustering**Xu Tan, Jiale Chen, Di He, et al.*2019 · 172 citations*](https://md.research.elamur.ai/free/en/papers/tan-2019-multilingual-neural-machine-translation-language/)
2957. [**Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims**Sihao Chen, Daniel Khashabi, Wenpeng Yin, et al.*2019 · 172 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-seeing-things-different-angle-discovering/)
2958. [**Soft Contextual Data Augmentation for Neural Machine Translation**Fei Gao, Jinhua Zhu, Lijun Wu, et al.*2019 · 172 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/)
2959. [**SemEval-2017 Task 7: Detection and Interpretation of English Puns**Tristan Miller, Christian Hempelmann, Iryna Gurevych*2017 · 172 citations*](https://md.research.elamur.ai/free/en/papers/miller-2017-semeval-2017-task-7-detection/)
2960. [**Linguistically debatable or just plain wrong?**Barbara Plank, Dirk Hovy, Anders Søgaard*2014 · 172 citations*](https://md.research.elamur.ai/free/en/papers/plank-2014-linguistically-debatable-or-just-plain/)
2961. [**Automatic Identification of Non-Compositional Multi-Word Expressions using Latent Semantic Analysis**Graham Katz, Eugenie Giesbrecht*2006 · 172 citations*](https://md.research.elamur.ai/free/en/papers/katz-2006-automatic-identification-non-compositional-multi/)
2962. [**CDER: Efficient MT Evaluation Using Block Movements**Gregor Leusch, Nicola Ueffing, Hermann Ney*2006 · 172 citations*](https://md.research.elamur.ai/free/en/papers/leusch-2006-cder-efficient-mt-evaluation-block/)
2963. [**Accessor Variety Criteria for Chinese Word Extraction**Haodi Feng, Kang Chen, Xiaotie Deng, et al.*2004 · 172 citations*](https://md.research.elamur.ai/free/en/papers/feng-2004-accessor-variety-criteria-chinese-word/)
2964. [**A-MEM: Agentic Memory for LLM Agents**Wujiang Xu, Zujie Liang, Kai Mei, et al.*2025 · 171 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-mem-agentic-memory-llm-agents/)
2965. [**SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language Model**Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.*2025 · 171 citations*](https://md.research.elamur.ai/free/en/papers/allal-2025-smollm2-smol-goes-big-data/)
2966. [**Aya 23: Open Weight Releases to Further Multilingual Progress**Viraat Aryabumi, John Dang, Dwarak Talupuru, et al.*2024 · 171 citations*](https://md.research.elamur.ai/free/en/papers/aryabumi-2024-aya-23-open-weight-releases/)
2967. [**MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues**Ge Bai, Jie Liu, Xingyuan Bu, et al.*2024 · 171 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/)
2968. [**HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge**Haochun Wang, Chi Liu, Nuwa Xi, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-huatuo-tuning-llama-model-chinese/)
2969. [**LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers**Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/olausson-2023-linc-neurosymbolic-approach-logical-reasoning/)
2970. [**Seamless: Multilingual Expressive and Streaming Speech Translation**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamless-multilingual-expressive-streaming-speech/)
2971. [**Direct Speech-to-Speech Translation With Discrete Units**Ann Lee, Peng-Jen Chen, Changhan Wang, et al.*2022 · 171 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-direct-speech-speech-translation-discrete/)
2972. [**Zero-Shot Cross-Lingual Transfer with Meta Learning**Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, et al.*2020 · 171 citations*](https://md.research.elamur.ai/free/en/papers/nooralahzadeh-2020-zero-shot-cross-lingual-transfer/)
2973. [**Understanding Undesirable Word Embedding Associations**Kawin Ethayarajh, David Duvenaud, Graeme Hirst*2019 · 171 citations*](https://md.research.elamur.ai/free/en/papers/ethayarajh-2019-understanding-undesirable-word-embedding-associations/)
2974. [**Specialized Models and Ranking for Coreference Resolution**Pascal Denis, Jason Baldridge*2008 · 171 citations*](https://md.research.elamur.ai/free/en/papers/denis-2008-specialized-models-ranking-coreference-resolution/)
2975. [**KernelBench: Can LLMs Write Efficient GPU Kernels?**Anne Ouyang, Simon Guo, Simran Arora, et al.*2025 · 170 citations*](https://md.research.elamur.ai/free/en/papers/ouyang-2025-kernelbench-llms-write-efficient-gpu/)
2976. [**Do Llamas Work in English? On the Latent Language of Multilingual Transformers**Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/wendler-2024-do-llamas-work-english-latent/)
2977. [**Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs**Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/balloccu-2024-leak-cheat-repeat-data-contamination/)
2978. [**LESS: Selecting Influential Data for Targeted Instruction Tuning**Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/)
2979. [**AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning**Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-adalora-adaptive-budget-allocation-parameter/)
2980. [**Learning to Compress Prompts with Gist Tokens**Jesse Mu, Xiang Lisa Li, Noah Goodman*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/mu-2023-learning-compress-prompts-gist-tokens/)
2981. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/)
2982. [**The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations**Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/rawte-2023-troubling-emergence-hallucination-large-language/)
2983. [**Generating Sequences by Learning to Self-Correct**Sean Welleck, Ximing Lu, Peter West, et al.*2022 · 170 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2022-generating-sequences-learning-self-correct/)
2984. [**Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran*2021 · 170 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2021-findings-shared-task-hope-speech/)
2985. [**Data Augmentation via Dependency Tree Morphing for Low-Resource Languages**Gözde Gül Şahin, Mark Steedman*2018 · 170 citations*](https://md.research.elamur.ai/free/en/papers/sahin-2018-data-augmentation-dependency-tree-morphing/)
2986. [**Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 170 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/)
2987. [**Neural Machine Translation Decoding with Terminology Constraints**Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, et al.*2018 · 170 citations*](https://md.research.elamur.ai/free/en/papers/hasler-2018-neural-machine-translation-decoding-terminology/)
2988. [**Personalized Machine Translation: Preserving Original Author Traits**Ella Rabinovich, Raj Nath Patel, Shachar Mirkin, et al.*2017 · 170 citations*](https://md.research.elamur.ai/free/en/papers/rabinovich-2017-personalized-machine-translation-preserving-original/)
2989. [**The limits of automatic summarisation according to ROUGE**Natalie Schluter*2017 · 170 citations*](https://md.research.elamur.ai/free/en/papers/schluter-2017-limits-automatic-summarisation-according-rouge/)
2990. [**Knowledge-Free Induction of Inflectional Morphologies**Patrick Schone, Daniel Jurafsky*2001 · 170 citations*](https://md.research.elamur.ai/free/en/papers/schone-2001-knowledge-free-induction-inflectional-morphologies/)
2991. [**AudioPaLM: A Large Language Model That Can Speak and Listen**Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/rubenstein-2023-audiopalm-large-language-model-that/)
2992. [**Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation**Qingyu Tan, Ruidan He, Lidong Bing, et al.*2022 · 169 citations*](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/)
2993. [**P-Stance: A Large Dataset for Stance Detection in Political Domain**Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/)
2994. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
2995. [**Self-training Improves Pre-training for Natural Language Understanding**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/)
2996. [**Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing**Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/)
2997. [**It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool**Jinho D. Choi, Joel Tetreault, Amanda Stent*2015 · 169 citations*](https://md.research.elamur.ai/free/en/papers/choi-2015-it-depends-dependency-parser-comparison/)
2998. [**SqueezeLLM: Dense-and-Sparse Quantization**Sehoon Kim, Coleman Hooper, Amir Gholami, et al.*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-squeezellm-dense-sparse-quantization/)
2999. [**The Capacity for Moral Self-Correction in Large Language Models**Deep Ganguli, Amanda Askell, Nicholas Schiefer, et al.*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/)
3000. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 168 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
3001. [**Promptagator: Few-shot Dense Retrieval From 8 Examples**Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.*2022 · 168 citations*](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/)
3002. [**COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic**Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/saakyan-2021-covid-fact-fact-extraction-verification/)
3003. [**On Releasing Annotator-Level Labels and Information in Datasets**Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Diaz*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/prabhakaran-2021-releasing-annotator-level-labels-information/)
3004. [**Simple Entity-Centric Questions Challenge Dense Retrievers**Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al.*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/sciavolino-2021-simple-entity-centric-questions-challenge/)
3005. [**AMR Parsing via Graph-Sequence Iterative Inference**Deng Cai, Wai Lam*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/cai-2020-amr-parsing-graph-sequence-iterative/)
3006. [**Curriculum Learning for Domain Adaptation in Neural Machine Translation**Xuan Zhang, Pamela Shapiro, Gaurav Kumar, et al.*2019 · 168 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-curriculum-learning-domain-adaptation-neural/)
3007. [**Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models**Tiancheng Zhao, Kaige Xie, Maxine Eskenazi*2019 · 168 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-rethinking-action-spaces-reinforcement-learning/)
3008. [**Social Bias in Elicited Natural Language Inferences**Rachel Rudinger, Chandler May, Benjamin Van Durme*2017 · 168 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2017-social-bias-elicited-natural-language/)
3009. [**Morfessor 2.0: Toolkit for statistical morphological segmentation**Peter Smit, Sami Virpioja, Stig-Arne Grönroos, et al.*2014 · 168 citations*](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/)
3010. [**ClearTK-TimeML: A minimalist approach to TempEval 2013**Steven Bethard*2013 · 168 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2013-cleartk-timeml-minimalist-approach-tempeval/)
3011. [**Graph Connectivity Measures for Unsupervised Word Sense Disambiguation**Roberto Navigli, Mirella Lapata*2007 · 168 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-graph-connectivity-measures-unsupervised-word/)
3012. [**Chart Generation**Martin Kay*1996 · 168 citations*](https://md.research.elamur.ai/free/en/papers/kay-1996-chart-generation/)
3013. [**ShortGPT: Layers in Large Language Models are More Redundant Than You Expect**Xin Men, Mingyu Xu, Qingyu Zhang, et al.*2024 · 167 citations*](https://md.research.elamur.ai/free/en/papers/men-2024-shortgpt-layers-large-language-models/)
3014. [**Binding Language Models in Symbolic Languages**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/)
3015. [**Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization**Meng Cao, Yue Dong, Jackie Cheung*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/cao-2022-hallucinated-but-factual-inspecting-factuality/)
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