---
title: "Arts and Humanities — papers, page 33 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 33 of 94 · 3126–3225, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/arts-and-humanities/page/33/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/arts-and-humanities/page/33/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) / page 33

# 🎭 Arts and Humanities

9,296 papers · page 33 of 94 · 3126–3225 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Languages and linguistics, history, philosophy, literature, religion, music and the arts.

## Papers (9,296)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/32/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) … [30](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/31/) [32](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/32/) **33** [34](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/34/) … [40](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/40/) … [94](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/94/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/34/)

3126. [**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/)
3127. [**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/)
3128. [**Morphological Tagging: Data vs. Dictionaries**Jan Hajic*2000 · 161 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2000-morphological-tagging-data-vs-dictionaries/)
3129. [**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/)
3130. [**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/)
3131. [**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/)
3132. [**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/)
3133. [**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/)
3134. [**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/)
3135. [**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/)
3136. [**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/)
3137. [**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/)
3138. [**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/)
3139. [**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/)
3140. [**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/)
3141. [**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/)
3142. [**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/)
3143. [**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/)
3144. [**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/)
3145. [**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/)
3146. [**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/)
3147. [**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/)
3148. [**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/)
3149. [**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/)
3150. [**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/)
3151. [**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/)
3152. [**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/)
3153. [**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/)
3154. [**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/)
3155. [**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/)
3156. [**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/)
3157. [**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/)
3158. [**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/)
3159. [**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/)
3160. [**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/)
3161. [**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/)
3162. [**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/)
3163. [**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/)
3164. [**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/)
3165. [**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/)
3166. [**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/)
3167. [**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/)
3168. [**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/)
3169. [**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/)
3170. [**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/)
3171. [**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/)
3172. [**SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks**Alexander Robey, Eric Wong, Hamed Hassani, et al.*2023 · 157 citations*](https://md.research.elamur.ai/free/en/papers/robey-2023-smoothllm-defending-large-language-models/)
3173. [**The Linear Representation Hypothesis and the Geometry of Large Language Models**Kiho Park, Yo Joong Choe, Victor Veitch*2023 · 157 citations*](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/)
3174. [**Language Models as Agent Models**Jacob Andreas*2022 · 157 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2022-language-models-as-agent-models/)
3175. [**Leveraging Large Language Models for Multiple Choice Question Answering**Joshua Robinson, Christopher Michael Rytting, David Wingate*2022 · 157 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2022-leveraging-large-language-models-multiple/)
3176. [**CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims**Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/diggelmann-2020-climate-fever-dataset-verification-real/)
3177. [**MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models**Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-megatron-cntrl-controllable-story-generation/)
3178. [**SemEval-2020 Task 4: Commonsense Validation and Explanation**Cunxiang Wang, Shuailong Liang, Yili Jin, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-semeval-2020-task-4-commonsense/)
3179. [**Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?**Ivan Vulić, Goran Glavaš, Roi Reichart, et al.*2019 · 157 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2019-do-we-really-need-fully/)
3180. [**Scoring Sentence Singletons and Pairs for Abstractive Summarization**Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, et al.*2019 · 157 citations*](https://md.research.elamur.ai/free/en/papers/lebanoff-2019-scoring-sentence-singletons-pairs-abstractive/)
3181. [**Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks**João Loula, Marco Baroni, Brenden Lake*2018 · 157 citations*](https://md.research.elamur.ai/free/en/papers/loula-2018-rearranging-familiar-testing-compositional-generalization/)
3182. [**Unsupervised Text Style Transfer using Language Models as Discriminators**Zichao Yang, Zhiting Hu, Chris Dyer, et al.*2018 · 157 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/)
3183. [**Mapping the Americanization of English in Space and Time**Bruno Gonçalves, Lucia Loureiro-Porto, Jose J. Ramasco, et al.*2017 · 157 citations*](https://md.research.elamur.ai/free/en/papers/gon-ccalves-2017-mapping-americanization-english-space-time/)
3184. [**Cross-lingual Wikification Using Multilingual Embeddings**Chen-Tse Tsai, Dan Roth*2016 · 157 citations*](https://md.research.elamur.ai/free/en/papers/tsai-2016-cross-lingual-wikification-multilingual-embeddings/)
3185. [**Automatic Detection and Language Identification of Multilingual Documents**Marco Lui, Jey Han Lau, Timothy Baldwin*2014 · 157 citations*](https://md.research.elamur.ai/free/en/papers/lui-2014-automatic-detection-language-identification-multilingual/)
3186. [**DataComp-LM: In search of the next generation of training sets for language models**Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/)
3187. [**VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks**Jing Yu Koh, Robert Lo, Lawrence Jang, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/koh-2024-visualwebarena-evaluating-multimodal-agents-realistic/)
3188. [**Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/)
3189. [**Lawyer LLaMA Technical Report**Quzhe Huang, Mingxu Tao, Chen Zhang, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-lawyer-llama-technical-report/)
3190. [**The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation**Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/)
3191. [**RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases**DongHyun Choi, Myeong Cheol Shin, EungGyun Kim, et al.*2021 · 156 citations*](https://md.research.elamur.ai/free/en/papers/choi-2021-ryansql-recursively-applying-sketch-based/)
3192. [**The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2021 · 156 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/)
3193. [**DART: Open-Domain Structured Data Record to Text Generation**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)
3194. [**Reducing Quantity Hallucinations in Abstractive Summarization**Zheng Zhao, Shay B. Cohen, Bonnie Webber*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-reducing-quantity-hallucinations-abstractive-summarization/)
3195. [**Question Answering as an Automatic Evaluation Metric for News Article Summarization**Matan Eyal, Tal Baumel, Michael Elhadad*2019 · 156 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2019-question-answering-as-automatic-evaluation/)
3196. [**Automatic Stance Detection Using End-to-End Memory Networks**Mitra Mohtarami, Ramy Baly, James Glass, et al.*2018 · 156 citations*](https://md.research.elamur.ai/free/en/papers/mohtarami-2018-automatic-stance-detection-end-end/)
3197. [**Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation**Yilin Yang, Liang Huang, Mingbo Ma*2018 · 156 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-breaking-beam-search-curse-study/)
3198. [**Accurate Evaluation of Segment-level Machine Translation Metrics**Yvette Graham, Timothy Baldwin, Nitika Mathur*2015 · 156 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/)
3199. [**Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation**Rashmi Prasad, Bonnie Webber, Aravind Joshi*2014 · 156 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2014-reflections-penn-discourse-treebank-comparable/)
3200. [**A Comparison of Techniques to Automatically Identify Complex Words.**Matthew Shardlow*2013 · 156 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2013-comparison-techniques-automatically-identify-complex/)
3201. [**DGT-TM: A freely available Translation Memory in 22 languages**Ralf Steinberger, Andreas Eisele, Szymon Klocek, et al.*2012 · 156 citations*](https://md.research.elamur.ai/free/en/papers/steinberger-2012-dgt-tm-freely-available-translation/)
3202. [**The Lessons of Developing Process Reward Models in Mathematical Reasoning**Zhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.*2025 · 155 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-lessons-developing-process-reward-models/)
3203. [**LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding**Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.*2024 · 155 citations*](https://md.research.elamur.ai/free/en/papers/elhoushi-2024-layerskip-enabling-early-exit-inference/)
3204. [**Large Language Models with Controllable Working Memory**Daliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-controllable-working/)
3205. [**Probing Pre-Trained Language Models for Cross-Cultural Differences in Values**Arnav Arora, Lucie-aimée Kaffee, Isabelle Augenstein*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-probing-pre-trained-language-models/)
3206. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
3207. [**TheoremQA: A Theorem-driven Question Answering Dataset**Wenhu Chen, Ming Yin, Max Ku, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-theoremqa-theorem-driven-question-answering/)
3208. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
3209. [**GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval**Kexin Wang, Nandan Thakur, Nils Reimers, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-gpl-generative-pseudo-labeling-unsupervised/)
3210. [**Towards a Cleaner Document-Oriented Multilingual Crawled Corpus**Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/abadji-2022-towards-cleaner-document-oriented-multilingual/)
3211. [**CLEVE: Contrastive Pre-training for Event Extraction**Ziqi Wang, Xiaozhi Wang, Xu Han, et al.*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-cleve-contrastive-pre-training-event/)
3212. [**On Hallucination and Predictive Uncertainty in Conditional Language Generation**Yijun Xiao, William Yang Wang*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2021-hallucination-predictive-uncertainty-conditional-language/)
3213. [**SemEval-2021 Task 1: Lexical Complexity Prediction**Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, et al.*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2021-semeval-2021-task-1-lexical/)
3214. [**SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness**Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi*2020 · 155 citations*](https://md.research.elamur.ai/free/en/papers/ng-2020-ssmba-self-supervised-manifold-based/)
3215. [**Evaluating Style Transfer for Text**Remi Mir, Bjarke Felbo, Nick Obradovich, et al.*2019 · 155 citations*](https://md.research.elamur.ai/free/en/papers/mir-2019-evaluating-style-transfer-text/)
3216. [**Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding**Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/)
3217. [**Effective Domain Mixing for Neural Machine Translation**Denny Britz, Quoc Le, Reid Pryzant*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/)
3218. [**pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection**Wan Wei, Xiao Zhang, Xuqin Liu, et al.*2016 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)
3219. [**Text-level Discourse Dependency Parsing**Sujian Li, Liang Wang, Ziqiang Cao, et al.*2014 · 155 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-text-level-discourse-dependency-parsing/)
3220. [**CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering**Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/wiratunga-2024-cbr-rag-case-based-reasoning/)
3221. [**Moshi: a speech-text foundation model for real-time dialogue**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/)
3222. [**ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs**Justin Chen, Swarnadeep Saha, Mohit Bansal*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-reconcile-round-table-conference-improves/)
3223. [**Locally Typical Sampling**Clara Meister, Tiago Pimentel, Gian Wiher, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/meister-2023-locally-typical-sampling/)
3224. [**Explaining NLP Models via Minimal Contrastive Editing (MiCE)**Alexis Ross, Ana Marasović, Matthew Peters*2021 · 154 citations*](https://md.research.elamur.ai/free/en/papers/ross-2021-explaining-nlp-models-minimal-contrastive/)
3225. [**Fill in the BLANC: Human-free quality estimation of document summaries**Oleg Vasilyev, Vedant Dharnidharka, John Bohannon*2020 · 154 citations*](https://md.research.elamur.ai/free/en/papers/vasilyev-2020-fill-blanc-human-free-quality/)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/32/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) … [30](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/31/) [32](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/32/) **33** [34](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/34/) … [40](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/40/) … [94](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/94/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/34/)