---
title: "Artificial Intelligence — papers, page 36 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 36 of 90 · 3426–3525, the most cited first — our summary of each…"
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# 🤖 Artificial Intelligence

8,885 papers · page 36 of 90 · 3426–3525 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers (8,885)

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3426. [**Multi-Fact Correction in Abstractive Text Summarization**Yue Dong, Shuohang Wang, Zhe Gan, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/dong-2020-multi-fact-correction-abstractive-text/)
3427. [**The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)**Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/)
3428. [**Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation**Po-Sen Huang, Robert Stanforth, Johannes Welbl, et al.*2019 · 163 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-achieving-verified-robustness-symbol-substitutions/)
3429. [**Question Answering for Privacy Policies: Combining Computational and Legal Perspectives**Abhilasha Ravichander, Alan W Black, Shomir Wilson, et al.*2019 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ravichander-2019-question-answering-privacy-policies-combining/)
3430. [**Tuning Multilingual Transformers for Language-Specific Named Entity Recognition**Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, et al.*2019 · 163 citations*](https://md.research.elamur.ai/free/en/papers/arkhipov-2019-tuning-multilingual-transformers-language-specific/)
3431. [**Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue**Shereen Oraby, Vrindavan Harrison, Lena Reed, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/)
3432. [**Leveraging FrameNet to Improve Automatic Event Detection**Shulin Liu, Yubo Chen, Shizhu He, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-leveraging-framenet-improve-automatic-event/)
3433. [**Semi-Supervised Learning for Neural Machine Translation**Yong Cheng, Wei Xu, Zhongjun He, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/)
3434. [**Predicting Discourse Connectives for Implicit Discourse Relation Recognition**Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, et al.*2010 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2010-predicting-discourse-connectives-implicit-discourse/)
3435. [**An effective Discourse Parser that uses Rich Linguistic Information**Rajen Subba, Barbara Di Eugenio*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/subba-2009-effective-discourse-parser-that-uses/)
3436. [**Better Word Alignments with Supervised ITG Models**Aria Haghighi, John Blitzer, John DeNero, et al.*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2009-better-word-alignments-supervised-itg/)
3437. [**Joshua: An Open Source Toolkit for Parsing-Based Machine Translation**Zhifei Li, Chris Callison-Burch, Chris Dyer, et al.*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/)
3438. [**Long-form factuality in large language models**Jerry Wei, Chengrun Yang, Xinying Song, et al.*2024 · 162 citations*](https://md.research.elamur.ai/free/en/papers/wei-2024-long-form-factuality-large-language/)
3439. [**Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation**Yangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-catastrophic-jailbreak-open-source-llms/)
3440. [**Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents**Zihao Wang, Shaofei Cai, Guanzhou Chen, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-describe-explain-plan-select-interactive/)
3441. [**GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts**Jiahao Yu, Xingwei Lin, Zheng Yu, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-gptfuzzer-red-teaming-large-language/)
3442. [**Membership Inference Attacks against Language Models via Neighbourhood Comparison**Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/mattern-2023-membership-inference-attacks-against-language/)
3443. [**Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning**Yasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/razeghi-2022-impact-pretraining-term-frequencies-few/)
3444. [**QuALITY: Question Answering with Long Input Texts, Yes!**Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/)
3445. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
3446. [**UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning**Yuning Mao, Lambert Mathias, Rui Hou, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/mao-2022-unipelt-unified-framework-parameter-efficient/)
3447. [**Towards Persona-Based Empathetic Conversational Models**Peixiang Zhong, Chen Zhang, Hao Wang, et al.*2020 · 162 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-persona-based-empathetic-conversational-models/)
3448. [**EASSE: Easier Automatic Sentence Simplification Evaluation**Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/)
3449. [**Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations**Jiatao Gu, Yong Wang, Kyunghyun Cho, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/gu-2019-improved-zero-shot-neural-machine/)
3450. [**On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models**Paul Michel, Xian Li, Graham Neubig, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/michel-2019-evaluation-adversarial-perturbations-sequence-sequence/)
3451. [**Implicit Discourse Relation Classification via Multi-Task Neural Networks**Yang Liu, Sujian Li, Xiaodong Zhang, et al.*2016 · 162 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/)
3452. [**LORELEI Language Packs: Data, Tools, and Resources for Technology Development in Low Resource Languages**Stephanie Strassel, Jennifer Tracey*2016 · 162 citations*](https://md.research.elamur.ai/free/en/papers/strassel-2016-lorelei-language-packs-data-tools/)
3453. [**Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features**Anders Björkelund, Jonas Kuhn*2014 · 162 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2014-learning-structured-perceptrons-coreference-resolution/)
3454. [**Universal Conceptual Cognitive Annotation (UCCA)**Omri Abend, Ari Rappoport*2013 · 162 citations*](https://md.research.elamur.ai/free/en/papers/abend-2013-universal-conceptual-cognitive-annotation-ucca/)
3455. [**Statistical French Dependency Parsing: Treebank Conversion and First Results**Marie Candito, Benoît Crabbé, Pascal Denis*2010 · 162 citations*](https://md.research.elamur.ai/free/en/papers/candito-2010-statistical-french-dependency-parsing-treebank/)
3456. [**Annotating a Japanese Text Corpus with Predicate-Argument and Coreference Relations**Ryu Iida, Mamoru Komachi, Kentaro Inui, et al.*2007 · 162 citations*](https://md.research.elamur.ai/free/en/papers/iida-2007-annotating-japanese-text-corpus-predicate/)
3457. [**Chart-to-Text: A Large-Scale Benchmark for Chart Summarization**Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, et al.*2022 · 161 citations*](https://md.research.elamur.ai/free/en/papers/kantharaj-2022-chart-text-large-scale-benchmark/)
3458. [**Reasoning with Language Model Prompting: A Survey**Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.*2022 · 161 citations*](https://md.research.elamur.ai/free/en/papers/qiao-2022-reasoning-language-model-prompting-survey/)
3459. [**Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation**Eva Vanmassenhove, Dimitar Shterionov, Matthew Gwilliam*2021 · 161 citations*](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2021-machine-translationese-effects-algorithmic-bias/)
3460. [**PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation**Wei Zeng, Xiaozhe Ren, Teng Su, et al.*2021 · 161 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2021-pangu-alpha-large-scale/)
3461. [**Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition**Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/)
3462. [**On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment**Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-negative-interference-multilingual-models-findings/)
3463. [**Context-Aware Monolingual Repair for Neural Machine Translation**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 161 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-context-aware-monolingual-repair-neural/)
3464. [**Probing What Different NLP Tasks Teach Machines about Function Word Comprehension**Najoung Kim, Roma Patel, Adam Poliak, et al.*2019 · 161 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/)
3465. [**Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition**Biao Zhang, Jinsong Su, Deyi Xiong, et al.*2015 · 161 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/)
3466. [**Large Scale Arabic Error Annotation: Guidelines and Framework**Wajdi Zaghouani, Behrang Mohit, Nizar Habash, et al.*2014 · 161 citations*](https://md.research.elamur.ai/free/en/papers/zaghouani-2014-large-scale-arabic-error-annotation/)
3467. [**CultureLLM: Incorporating Cultural Differences into Large Language Models**Cheng Li, Mengzhou Chen, Jindong Wang, et al.*2024 · 160 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/)
3468. [**Scaling Synthetic Data Creation with 1,000,000,000 Personas**Tao Ge, Xin Chan, Xiaoyang Wang, et al.*2024 · 160 citations*](https://md.research.elamur.ai/free/en/papers/ge-2024-scaling-synthetic-data-creation-1/)
3469. [**ChatGPT as a Factual Inconsistency Evaluator for Text Summarization**Zheheng Luo, Qianqian Xie, Sophia Ananiadou*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-chatgpt-factual-inconsistency-evaluator-text/)
3470. [**L-Eval: Instituting Standardized Evaluation for Long Context Language Models**Chenxin An, Shansan Gong, Ming Zhong, et al.*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/an-2023-l-eval-instituting-standardized-evaluation/)
3471. [**Orca 2: Teaching Small Language Models How to Reason**Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/mitra-2023-orca-2-teaching-small-language/)
3472. [**The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets**Samuel Marks, Max Tegmark*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/marks-2023-geometry-truth-emergent-linear-structure/)
3473. [**Larger-Scale Transformers for Multilingual Masked Language Modeling**Naman Goyal, Jingfei Du, Myle Ott, et al.*2021 · 160 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2021-larger-scale-transformers-multilingual-masked/)
3474. [**MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer**Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos*2021 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-multieurlex-multi-lingual-multi-label/)
3475. [**Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge**Bowen Zhang, Min Yang, Xutao Li, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-enhancing-cross-target-stance-detection/)
3476. [**Findings of the WMT 2020 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/)
3477. [**Multi-Source Cross-Lingual Model Transfer: Learning What to Share**Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, et al.*2019 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-multi-source-cross-lingual-model/)
3478. [**Specialising Word Vectors for Lexical Entailment**Ivan Vulić, Nikola Mrkšić*2018 · 160 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2018-specialising-word-vectors-lexical-entailment/)
3479. [**Argument Mining with Structured SVMs and RNNs**Vlad Niculae, Joonsuk Park, Claire Cardie*2017 · 160 citations*](https://md.research.elamur.ai/free/en/papers/niculae-2017-argument-mining-structured-svms-rnns/)
3480. [**Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold**Swabha Swayamdipta, Sam Thomson, Chris Dyer, et al.*2017 · 160 citations*](https://md.research.elamur.ai/free/en/papers/swayamdipta-2017-frame-semantic-parsing-softmax-margin/)
3481. [**Towards Robust Semantic Role Labeling**Sameer S. Pradhan, Wayne Ward, James H. Martin*2008 · 160 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2008-robust-semantic-role-labeling/)
3482. [**Emotions from Text: Machine Learning for Text-based Emotion Prediction**Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat*2005 · 160 citations*](https://md.research.elamur.ai/free/en/papers/alm-2005-emotions-text-machine-learning-text/)
3483. [**InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency**Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.*2025 · 159 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-internvl3-5-advancing-open/)
3484. [**LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression**Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/)
3485. [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**Liyan Tang, Philippe Laban, Greg Durrett*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-minicheck-efficient-fact-checking-llms/)
3486. [**Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models**Bofei Gao, Feifan Song, Zhe Yang, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/)
3487. [**When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs**Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/kamoi-2024-when-can-llms-actually-correct/)
3488. [**DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models**Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, et al.*2023 · 159 citations*](https://md.research.elamur.ai/free/en/papers/jacobs-2023-deepspeed-ulysses-system-optimizations-enabling/)
3489. [**I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2020 · 159 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/)
3490. [**Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance**Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych*2020 · 159 citations*](https://md.research.elamur.ai/free/en/papers/utama-2020-mind-trade-off-debiasing-nlu/)
3491. [**Inferring Which Medical Treatments Work from Reports of Clinical Trials**Eric Lehman, Jay DeYoung, Regina Barzilay, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/lehman-2019-inferring-which-medical-treatments-work/)
3492. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/)
3493. [**Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation**Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/karpukhin-2019-training-synthetic-noise-improves-robustness/)
3494. [**Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut**Nathan Schneider, Emily Danchik, Chris Dyer, et al.*2014 · 159 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/)
3495. [**Annotated Gigaword**Courtney Napoles, Matthew Gormley, Benjamin Van Durme*2012 · 159 citations*](https://md.research.elamur.ai/free/en/papers/napoles-2012-annotated-gigaword/)
3496. [**Abstract Generation Based on Rhetorical Structure Extraction**Kenji Ono, Kazuo Sumita, Seiji Miike*1994 · 159 citations*](https://md.research.elamur.ai/free/en/papers/ono-1994-abstract-generation-based-rhetorical-structure/)
3497. [**AgentTuning: Enabling Generalized Agent Abilities for LLMs**Aohan Zeng, Mingdao Liu, Rui Lu, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/)
3498. [**FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios**I-Chun Chern, Steffi Chern, Shiqi Chen, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)
3499. [**GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher**Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-gpt-4-too-smart-safe/)
3500. [**LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression**Huiqiang Jiang, Qianhui Wu, Xufang Luo, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-longllmlingua-accelerating-enhancing-llms-long/)
3501. [**Testing the Predictions of Surprisal Theory in 11 Languages**Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/)
3502. [**A Sentiment Analysis Dataset for Code-Mixed Malayalam-English**Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-sentiment-analysis-dataset-code-mixed/)
3503. [**Norm-Based Curriculum Learning for Neural Machine Translation**Xuebo Liu, Houtim Lai, Derek F. Wong, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-norm-based-curriculum-learning-neural/)
3504. [**Understanding tables with intermediate pre-training**Julian Eisenschlos, Syrine Krichene, Thomas Müller*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/eisenschlos-2020-understanding-tables-intermediate-pre-training/)
3505. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
3506. [**Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces**Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, et al.*2019 · 158 citations*](https://md.research.elamur.ai/free/en/papers/patra-2019-bilingual-lexicon-induction-semi-supervision/)
3507. [**A Span-Extraction Dataset for Chinese Machine Reading Comprehension**Yiming Cui, Ting Liu, Wanxiang Che, et al.*2018 · 158 citations*](https://md.research.elamur.ai/free/en/papers/cui-2018-span-extraction-dataset-chinese/)
3508. [**Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change**Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann*2018 · 158 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2018-diachronic-usage-relatedness-durel-framework/)
3509. [**Extreme Adaptation for Personalized Neural Machine Translation**Paul Michel, Graham Neubig*2018 · 158 citations*](https://md.research.elamur.ai/free/en/papers/michel-2018-extreme-adaptation-personalized-neural-machine/)
3510. [**Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy**Daniel Cer, Marie-Catherine de Marneffe, Dan Jurafsky, et al.*2010 · 158 citations*](https://md.research.elamur.ai/free/en/papers/cer-2010-parsing-stanford-dependencies-trade-offs/)
3511. [**Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither**Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, et al.*2010 · 158 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-statistical-parsing-morphologically-rich-languages/)
3512. [**GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models**Aohan Zeng, Xin Lv, Qinkai Zheng, et al.*2025 · 157 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-4-glm-4-5-agentic/)
3513. [**MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models**Yilin Wen, Zifeng Wang, Jimeng Sun*2024 · 157 citations*](https://md.research.elamur.ai/free/en/papers/wen-2024-mindmap-knowledge-graph-prompting-sparks/)
3514. [**From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning**Ming Li, Yong Zhang, Zhitao Li, et al.*2023 · 157 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/)
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