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title: "Arts and Humanities — papers, page 34 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 34 of 94 · 3226–3325, the most cited first — our summary of each…"
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# 🎭 Arts and Humanities

9,296 papers · page 34 of 94 · 3226–3325 · 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)

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3226. [**Generating Sentences from Disentangled Syntactic and Semantic Spaces**Yu Bao, Hao Zhou, Shujian Huang, et al.*2019 · 154 citations*](https://md.research.elamur.ai/free/en/papers/bao-2019-generating-sentences-disentangled-syntactic-semantic/)
3227. [**Revisiting Character-Based Neural Machine Translation with Capacity and Compression**Colin Cherry, George Foster, Ankur Bapna, et al.*2018 · 154 citations*](https://md.research.elamur.ai/free/en/papers/cherry-2018-revisiting-character-based-neural-machine/)
3228. [**Compositional Sequence Labeling Models for Error Detection in Learner Writing**Marek Rei, Helen Yannakoudakis*2016 · 154 citations*](https://md.research.elamur.ai/free/en/papers/rei-2016-compositional-sequence-labeling-models-error/)
3229. [**The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition**Ahmed Ali, Peter Bell, James Glass, et al.*2016 · 154 citations*](https://md.research.elamur.ai/free/en/papers/ali-2016-mgb-2-challenge-arabic-multi/)
3230. [**Semantic Frame Identification with Distributed Word Representations**Karl Moritz Hermann, Dipanjan Das, Jason Weston, et al.*2014 · 154 citations*](https://md.research.elamur.ai/free/en/papers/hermann-2014-semantic-frame-identification-distributed-word/)
3231. [**Coreference Resolution with World Knowledge**Altaf Rahman, Vincent Ng*2011 · 154 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2011-coreference-resolution-world-knowledge/)
3232. [**Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models**Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.*2025 · 153 citations*](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/)
3233. [**Can GPT-3 Perform Statutory Reasoning?**Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/blair-stanek-2023-gpt-3-perform-statutory-reasoning/)
3234. [**Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning**Lean Wang, Lei Li, Damai Dai, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-label-words-anchors-information-flow/)
3235. [**Graph Pre-training for AMR Parsing and Generation**Xuefeng Bai, Yulong Chen, Yue Zhang*2022 · 153 citations*](https://md.research.elamur.ai/free/en/papers/bai-2022-graph-pre-training-amr-parsing/)
3236. [**Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction**Adrien Barbaresi*2021 · 153 citations*](https://md.research.elamur.ai/free/en/papers/barbaresi-2021-trafilatura-web-scraping-library-command/)
3237. [**Unsupervised Quality Estimation for Neural Machine Translation**Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, et al.*2020 · 153 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2020-unsupervised-quality-estimation-neural-machine/)
3238. [**Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing**Yuxuan Wang, Wanxiang Che, Jiang Guo, et al.*2019 · 153 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-cross-lingual-bert-transformation-zero/)
3239. [**LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech**Heiga Zen, Viet Dang, Rob Clark, et al.*2019 · 153 citations*](https://md.research.elamur.ai/free/en/papers/zen-2019-libritts-corpus-derived-librispeech-text/)
3240. [**Seq2seq Dependency Parsing**Zuchao Li, Jiaxun Cai, Shexia He, et al.*2018 · 153 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-seq2seq-dependency-parsing/)
3241. [**Context Gates for Neural Machine Translation**Zhaopeng Tu, Yang Liu, Zhengdong Lu, et al.*2017 · 153 citations*](https://md.research.elamur.ai/free/en/papers/tu-2017-context-gates-neural-machine-translation/)
3242. [**The First QALB Shared Task on Automatic Text Correction for Arabic**Behrang Mohit, Alla Rozovskaya, Nizar Habash, et al.*2014 · 153 citations*](https://md.research.elamur.ai/free/en/papers/mohit-2014-first-qalb-shared-task-automatic/)
3243. [**Learning a Part-of-Speech Tagger from Two Hours of Annotation**Dan Garrette, Jason Baldridge*2013 · 153 citations*](https://md.research.elamur.ai/free/en/papers/garrette-2013-learning-part-speech-tagger-two/)
3244. [**Convergence of Translation Memory and Statistical Machine Translation**Philipp Koehn, Jean Senellart*2010 · 153 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2010-convergence-translation-memory-statistical-machine/)
3245. [**Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2005 · 153 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2005-probabilistic-disambiguation-models-wide-coverage/)
3246. [**F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching**Yushen Chen, Zhikang Niu, Ziyang Ma, et al.*2025 · 152 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-f5-tts-fairytaler-that-fakes/)
3247. [**LLM-based NLG Evaluation: Current Status and Challenges**Mingqi Gao, Xinyu Hu, Xunjian Yin, et al.*2025 · 152 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-llm-based-nlg-evaluation-current/)
3248. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
3249. [**REFINER: Reasoning Feedback on Intermediate Representations**Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/paul-2023-refiner-reasoning-feedback-intermediate-representations/)
3250. [**Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text**Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.*2022 · 152 citations*](https://md.research.elamur.ai/free/en/papers/dou-2022-is-gpt-3-text-indistinguishable/)
3251. [**doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset**Song Feng, Hui Wan, Chulaka Gunasekara, et al.*2020 · 152 citations*](https://md.research.elamur.ai/free/en/papers/feng-2020-doc2dial-goal-oriented-document-grounded/)
3252. [**Answering Complex Open-domain Questions Through Iterative Query Generation**Peng Qi, Xiaowen Lin, Leo Mehr, et al.*2019 · 152 citations*](https://md.research.elamur.ai/free/en/papers/qi-2019-answering-complex-open-domain-questions/)
3253. [**Modeling Multi-turn Conversation with Deep Utterance Aggregation**Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, et al.*2018 · 152 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/)
3254. [**Generation from Abstract Meaning Representation using Tree Transducers**Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)
3255. [**On the semantics and pragmatics of epistemic vocabulary**Sarah Moss*2015 · 152 citations*](https://md.research.elamur.ai/free/en/papers/moss-2015-semantics-pragmatics-epistemic-vocabulary/)
3256. [**Fill-up versus interpolation methods for phrase-based SMT adaptation**Arianna Bisazza, Nick Ruiz, Marcello Federico*2011 · 152 citations*](https://md.research.elamur.ai/free/en/papers/bisazza-2011-fill-up-versus-interpolation-methods/)
3257. [**SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training**Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.*2025 · 151 citations*](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/)
3258. [**Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models**Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.*2024 · 151 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-language-specific-neurons-key-multilingual/)
3259. [**PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling**Zefan Cai, Yichi Zhang, Bofei Gao, et al.*2024 · 151 citations*](https://md.research.elamur.ai/free/en/papers/cai-2024-pyramidkv-dynamic-kv-cache-compression/)
3260. [**Training Language Models to Self-Correct via Reinforcement Learning**Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.*2024 · 151 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2024-training-language-models-self-correct/)
3261. [**ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages**Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.*2023 · 151 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/)
3262. [**Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction**Qingyu Tan, Lu Xu, Lidong Bing, et al.*2022 · 151 citations*](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/)
3263. [**Extractive Opinion Summarization in Quantized Transformer Spaces**Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, et al.*2021 · 151 citations*](https://md.research.elamur.ai/free/en/papers/angelidis-2021-extractive-opinion-summarization-quantized-transformer/)
3264. [**Continual Relation Learning via Episodic Memory Activation and Reconsolidation**Xu Han, Yi Dai, Tianyu Gao, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/han-2020-continual-relation-learning-episodic-memory/)
3265. [**Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning**Zhaojiang Lin, Andrea Madotto, Pascale Fung*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-exploring-versatile-generative-language-model/)
3266. [**Reevaluating Adversarial Examples in Natural Language**John Morris, Eli Lifland, Jack Lanchantin, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/morris-2020-reevaluating-adversarial-examples-natural-language/)
3267. [**Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-will-they-won-t-they/)
3268. [**Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models**Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al.*2011 · 151 citations*](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/)
3269. [**Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features**Viola Ganter, Michael Strube*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/ganter-2009-finding-hedges-chasing-weasels-hedge/)
3270. [**Graph-based Event Coreference Resolution**Zheng Chen, Heng Ji*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/chen-2009-graph-based-event-coreference-resolution/)
3271. [**Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model**Yue Zhang, Stephen Clark*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2009-transition-based-parsing-chinese-treebank/)
3272. [**A Perspective on Word Sense Disambiguation Methods and Their Evaluation**Philip Resnik, David Yarowsky*1997 · 151 citations*](https://md.research.elamur.ai/free/en/papers/resnik-1997-perspective-word-sense-disambiguation-methods/)
3273. [**The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models**Junyi Li, Jie Chen, Ruiyang Ren, et al.*2024 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/)
3274. [**AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators**Xingwei He, Zhenghao Lin, Yeyun Gong, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/)
3275. [**Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation**Niels Mundler, Jingxuan He, Slobodan Jenko, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/mundler-2023-self-contradictory-hallucinations-large-language/)
3276. [**SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup**Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/piskorski-2023-semeval-2023-task-3-detecting/)
3277. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/)
3278. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/)
3279. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
3280. [**Pre-Training BERT on Arabic Tweets: Practical Considerations**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/)
3281. [**Generation-Augmented Retrieval for Open-domain Question Answering**Yuning Mao, Pengcheng He, Xiaodong Liu, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/)
3282. [**INFOTABS: Inference on Tables as Semi-structured Data**Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2020-infotabs-inference-tables-as-semi/)
3283. [**Speech Translation and the End-to-End Promise: Taking Stock of Where We Are**Matthias Sperber, Matthias Paulik*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/sperber-2020-speech-translation-end-end-promise/)
3284. [**Statistical Power and Translationese in Machine Translation Evaluation**Yvette Graham, Barry Haddow, Philipp Koehn*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/)
3285. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
3286. [**Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks**Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos*2019 · 150 citations*](https://md.research.elamur.ai/free/en/papers/dou-2019-investigating-meta-learning-algorithms-low/)
3287. [**Overview of the IWSLT 2017 Evaluation Campaign**Mauro Cettolo, Marcello Federico, Luisa Bentivogli, et al.*2017 · 150 citations*](https://md.research.elamur.ai/free/en/papers/cettolo-2017-overview-iwslt-2017-evaluation-campaign/)
3288. [**Regularization techniques for fine-tuning in neural machine translation**Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, et al.*2017 · 150 citations*](https://md.research.elamur.ai/free/en/papers/barone-2017-regularization-techniques-fine-tuning-neural/)
3289. [**Discourse Parsing with Attention-based Hierarchical Neural Networks**Qi Li, Tianshi Li, Baobao Chang*2016 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-discourse-parsing-attention-based-hierarchical/)
3290. [**Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars**Frederick Jelinek, John D. Lafferty*1991 · 150 citations*](https://md.research.elamur.ai/free/en/papers/jelinek-1991-computation-probability-initial-substring-generation/)
3291. [**Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models**Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.*2024 · 149 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/)
3292. [**OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models**Changhun Lee, Jungyu Jin, Taesu Kim, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/lee-2023-owq-outlier-aware-weight-quantization/)
3293. [**SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models**Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scibench-evaluating-college-level-scientific/)
3294. [**ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning**Olga Golovneva, Moya Chen, Spencer Poff, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/golovneva-2022-roscoe-suite-metrics-scoring-step/)
3295. [**BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data**Haoyu Song, Yan Wang, Kaiyan Zhang, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/song-2021-bob-bert-over-bert-training/)
3296. [**Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection**Sihao Chen, Fan Zhang, Kazoo Sone, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-improving-faithfulness-abstractive-summarization-contrast/)
3297. [**Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding**Nouha Dziri, Andrea Madotto, Osmar Zaïane, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2021-neural-path-hunter-reducing-hallucination/)
3298. [**CPM: A Large-scale Generative Chinese Pre-trained Language Model**Zhengyan Zhang, Xu Han, Hao Zhou, et al.*2020 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-cpm-large-scale-generative/)
3299. [**The Effect of Translationese in Machine Translation Test Sets**Mike Zhang, Antonio Toral*2019 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/)
3300. [**Identifying Causal Relations Using Parallel Wikipedia Articles**Christopher Hidey, Kathy McKeown*2016 · 149 citations*](https://md.research.elamur.ai/free/en/papers/hidey-2016-identifying-causal-relations-parallel-wikipedia/)
3301. [**Adding Noun Phrase Structure to the Penn Treebank**David Vadas, James Curran*2007 · 149 citations*](https://md.research.elamur.ai/free/en/papers/vadas-2007-adding-noun-phrase-structure-penn/)
3302. [**A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue**Michael Strube, Christoph Müller*2003 · 149 citations*](https://md.research.elamur.ai/free/en/papers/strube-2003-machine-learning-approach-pronoun-resolution/)
3303. [**SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild**Weihao Zeng, Yuzhen Huang, Qian Liu, et al.*2025 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2025-simplerl-zoo-investigating-taming-zero/)
3304. [**Language Model Behavior: A Comprehensive Survey**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations*](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/)
3305. [**MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages**Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.*2023 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-miracl-multilingual-retrieval-dataset-covering/)
3306. [**Measure and Improve Robustness in NLP Models: A Survey**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/)
3307. [**Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary**Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth*2021 · 148 citations*](https://md.research.elamur.ai/free/en/papers/deutsch-2021-question-answering-as-automatic-metric/)
3308. [**Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation**Fahim Dalvi, Nadir Durrani, Hassan Sajjad, et al.*2018 · 148 citations*](https://md.research.elamur.ai/free/en/papers/dalvi-2018-incremental-decoding-training-methods-simultaneous/)
3309. [**HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/)
3310. [**Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings**Ondřej Dušek, Filip Jurčíček*2016 · 148 citations*](https://md.research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/)
3311. [**Varieties of update**Sarah E Murray*2014 · 148 citations*](https://md.research.elamur.ai/free/en/papers/murray-2014-varieties-update/)
3312. [**Process Reinforcement through Implicit Rewards**Ganqu Cui, Lifan Yuan, Zefan Wang, et al.*2025 · 147 citations*](https://md.research.elamur.ai/free/en/papers/cui-2025-process-reinforcement-through-implicit-rewards/)
3313. [**BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages**Junho Myung, Nayeon Lee, Yi Zhou, et al.*2024 · 147 citations*](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/)
3314. [**Measuring short-form factuality in large language models**Jason Wei, Nguyen Karina, Hyung Won Chung, et al.*2024 · 147 citations*](https://md.research.elamur.ai/free/en/papers/wei-2024-measuring-short-form-factuality-large/)
3315. [**Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation**Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/mosbach-2023-few-shot-fine-tuning-vs/)
3316. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/)
3317. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
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