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title: "Computer Science — papers, page 35 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 35 of 92 · 3326–3425, the most cited first — our summary of each, its…"
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# 🖥️ Computer Science

9,085 papers · page 35 of 92 · 3326–3425 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

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3326. [**AlphaEvolve: A coding agent for scientific and algorithmic discovery**Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.*2025 · 176 citations*](https://md.research.elamur.ai/free/en/papers/novikov-2025-alphaevolve-coding-agent-scientific-algorithmic/)
3327. [**CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers**Wenyi Hong, Ming Ding, Wendi Zheng, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/hong-2022-cogvideo-large-scale-pretraining/)
3328. [**Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs**Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-draft-sketch-prove-guiding-formal/)
3329. [**RealTime QA: What's the Answer Right Now?**Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/)
3330. [**Non-Autoregressive Machine Translation with Latent Alignments**Chitwan Saharia, William Chan, Saurabh Saxena, et al.*2020 · 176 citations*](https://md.research.elamur.ai/free/en/papers/saharia-2020-non-autoregressive-machine-translation-latent/)
3331. [**AudioCaps: Generating Captions for Audios in The Wild**Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, et al.*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-audiocaps-generating-captions-audios-wild/)
3332. [**Coreference Resolution with Entity Equalization**Ben Kantor, Amir Globerson*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kantor-2019-coreference-resolution-entity-equalization/)
3333. [**Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs**Alex Warstadt, Yu Cao, Ioana Grosu, et al.*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/warstadt-2019-investigating-bert-s-knowledge-language/)
3334. [**Multi-Domain Neural Machine Translation through Unsupervised Adaptation**M. Amin Farajian, Marco Turchi, Matteo Negri, et al.*2017 · 176 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2017-multi-domain-neural-machine-translation/)
3335. [**SemEval-2017 Task 12: Clinical TempEval**Steven Bethard, Guergana Savova, Martha Palmer, et al.*2017 · 176 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2017-semeval-2017-task-12-clinical/)
3336. [**A Multidialectal Parallel Corpus of Arabic**Houda Bouamor, Nizar Habash, Kemal Oflazer*2014 · 176 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2014-multidialectal-parallel-corpus-arabic/)
3337. [**Results of the WMT14 Metrics Shared Task**Matouš Macháček, Ondřej Bojar*2014 · 176 citations*](https://md.research.elamur.ai/free/en/papers/machacek-2014-results-wmt14-metrics-shared-task/)
3338. [**Developing a large semantically annotated corpus**Valerio Basile, Johan Bos, Kilian Evang, et al.*2012 · 176 citations*](https://md.research.elamur.ai/free/en/papers/basile-2012-developing-large-semantically-annotated-corpus/)
3339. [**Supersense Tagging of Unknown Nouns in WordNet**Massimiliano Ciaramita, Mark Johnson*2003 · 176 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2003-supersense-tagging-unknown-nouns-wordnet/)
3340. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 175 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
3341. [**Translation Artifacts in Cross-lingual Transfer Learning**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2020 · 175 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2020-translation-artifacts-cross-lingual-transfer/)
3342. [**BillSum: A Corpus for Automatic Summarization of US Legislation**Anastassia Kornilova, Vladimir Eidelman*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/)
3343. [**Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions**Rui Zhang, Tao Yu, Heyang Er, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-editing-based-sql-query-generation/)
3344. [**Investigating Multilingual NMT Representations at Scale**Sneha Kudugunta, Ankur Bapna, Isaac Caswell, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kudugunta-2019-investigating-multilingual-nmt-representations-scale/)
3345. [**Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control**Mo Yu, Shiyu Chang, Yang Zhang, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-rethinking-cooperative-rationalization-introspective-extraction/)
3346. [**The IIT Bombay English-Hindi Parallel Corpus**Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya*2018 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kunchukuttan-2018-iit-bombay-english-hindi-parallel/)
3347. [**Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal**Aniruddha Ghosh, Tony Veale*2017 · 175 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/)
3348. [**A* CCG Parsing with a Supertag-factored Model**Mike Lewis, Mark Steedman*2014 · 175 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2014-ccg-parsing-supertag-factored-model/)
3349. [**Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence**Md Arafat Sultan, Steven Bethard, Tamara Sumner*2014 · 175 citations*](https://md.research.elamur.ai/free/en/papers/sultan-2014-back-basics-monolingual-alignment-exploiting/)
3350. [**A Joint Sequence Translation Model with Integrated Reordering**Nadir Durrani, Helmut Schmid, Alexander Fraser*2011 · 175 citations*](https://md.research.elamur.ai/free/en/papers/durrani-2011-joint-sequence-translation-model-integrated/)
3351. [**Completions, Coordination, and Alignment in Dialogue**Massimo Poesio, Hannes Rieses*2010 · 175 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2010-completions-coordination-alignment-dialogue/)
3352. [**Learning the Scope of Hedge Cues in Biomedical Texts**Roser Morante, Walter Daelemans*2009 · 175 citations*](https://md.research.elamur.ai/free/en/papers/morante-2009-learning-scope-hedge-cues-biomedical/)
3353. [**Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/)
3354. [**Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages**Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/)
3355. [**What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning**Wei Liu, Weihao Zeng, Keqing He, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-makes-good-data-alignment-comprehensive/)
3356. [**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/)
3357. [**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/)
3358. [**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/)
3359. [**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/)
3360. [**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/)
3361. [**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/)
3362. [**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/)
3363. [**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/)
3364. [**Unsupervised Learning of Morphology**Harald Hammarström, Lars Borin*2011 · 174 citations*](https://md.research.elamur.ai/free/en/papers/hammarstrom-2011-unsupervised-learning-morphology/)
3365. [**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/)
3366. [**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/)
3367. [**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/)
3368. [**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/)
3369. [**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/)
3370. [**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/)
3371. [**Stance Detection in COVID-19 Tweets**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/)
3372. [**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/)
3373. [**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/)
3374. [**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/)
3375. [**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/)
3376. [**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/)
3377. [**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/)
3378. [**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/)
3379. [**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/)
3380. [**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/)
3381. [**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/)
3382. [**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/)
3383. [**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/)
3384. [**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/)
3385. [**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/)
3386. [**Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network**Bin Liang, Chenwei Lou, Xiang Li, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/)
3387. [**SemEval-2021 Task 5: Toxic Spans Detection**John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.*2021 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2021-semeval-2021-task-5-toxic/)
3388. [**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/)
3389. [**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/)
3390. [**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/)
3391. [**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/)
3392. [**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/)
3393. [**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/)
3394. [**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/)
3395. [**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/)
3396. [**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/)
3397. [**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/)
3398. [**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/)
3399. [**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/)
3400. [**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/)
3401. [**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/)
3402. [**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/)
3403. [**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/)
3404. [**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/)
3405. [**Detecting Harmful Memes and Their Targets**Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.*2021 · 171 citations*](https://md.research.elamur.ai/free/en/papers/pramanick-2021-detecting-harmful-memes-their-targets/)
3406. [**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/)
3407. [**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/)
3408. [**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/)
3409. [**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/)
3410. [**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/)
3411. [**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/)
3412. [**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/)
3413. [**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/)
3414. [**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/)
3415. [**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/)
3416. [**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/)
3417. [**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/)
3418. [**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/)
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