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title: "Computer Science — papers, page 25 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 25 of 92 · 2326–2425, the most cited first — our summary of each, its…"
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# 🖥️ Computer Science

9,085 papers · page 25 of 92 · 2326–2425 · 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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2326. [**MiniCPM-V: A GPT-4V Level MLLM on Your Phone**Yuan Yao, Tianyu Yu, Ao Zhang, et al.*2024 · 267 citations*](https://md.research.elamur.ai/free/en/papers/yao-2024-minicpm-v-gpt-4v/)
2327. [**Prometheus: Inducing Fine-grained Evaluation Capability in Language Models**Seungone Kim, Jamin Shin, Yejin Cho, et al.*2023 · 267 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-prometheus-inducing-fine-grained-evaluation/)
2328. [**CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review**Dan Hendrycks, Collin Burns, Anya Chen, et al.*2021 · 267 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-cuad-expert-annotated-nlp-dataset/)
2329. [**Handling Divergent Reference Texts when Evaluating Table-to-Text Generation**Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.*2019 · 267 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2019-handling-divergent-reference-texts-when/)
2330. [**Joint Inference for Fine-grained Opinion Extraction**Bishan Yang, Claire Cardie*2013 · 267 citations*](https://md.research.elamur.ai/free/en/papers/yang-2013-joint-inference-fine-grained-opinion/)
2331. [**Understanding R1-Zero-Like Training: A Critical Perspective**Zichen Liu, Changyu Chen, Wenjun Li, et al.*2025 · 266 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-understanding-r1-zero-like-training/)
2332. [**Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study**Yi Liu, Gelei Deng, Zhengzi Xu, et al.*2023 · 266 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-jailbreaking-chatgpt-prompt-engineering-empirical/)
2333. [**An Analysis of Simple Data Augmentation for Named Entity Recognition**Xiang Dai, Heike Adel*2020 · 266 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/)
2334. [**Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation**Emily Dinan, Angela Fan, Adina Williams, et al.*2020 · 266 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/)
2335. [**A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer**Fuli Luo, Peng Li, Jie Zhou, et al.*2019 · 266 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-dual-reinforcement-learning-framework-unsupervised/)
2336. [**Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised**Stefanos Angelidis, Mirella Lapata*2018 · 266 citations*](https://md.research.elamur.ai/free/en/papers/angelidis-2018-summarizing-opinions-aspect-extraction-meets/)
2337. [**When Are Tree Structures Necessary for Deep Learning of Representations?**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 266 citations*](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/)
2338. [**Weakly Supervised Learning for Hedge Classification in Scientific Literature**Ben Medlock, Ted Briscoe*2007 · 266 citations*](https://md.research.elamur.ai/free/en/papers/medlock-2007-weakly-supervised-learning-hedge-classification/)
2339. [**Fast Methods for Kernel-Based Text Analysis**Taku Kudo, Yuji Matsumoto*2003 · 266 citations*](https://md.research.elamur.ai/free/en/papers/kudo-2003-fast-methods-kernel-based-text/)
2340. [**Automatic Verb Classification Based on Statistical Distributions of Argument Structure**Paola Merlo, Suzanne Stevenson*2001 · 266 citations*](https://md.research.elamur.ai/free/en/papers/merlo-2001-automatic-verb-classification-based-statistical/)
2341. [**LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models**Yukang Chen, Shengju Qian, Haotian Tang, et al.*2023 · 265 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-longlora-efficient-fine-tuning-long/)
2342. [**Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages**Kelechi Ogueji, Yuxin Zhu, Jimmy Lin*2021 · 265 citations*](https://md.research.elamur.ai/free/en/papers/ogueji-2021-small-data-no-problem-exploring/)
2343. [**Towards Understanding and Mitigating Social Biases in Language Models**Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.*2021 · 265 citations*](https://md.research.elamur.ai/free/en/papers/liang-2021-towards-understanding-mitigating-social-biases/)
2344. [**Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network**Yutai Hou, Wanxiang Che, Yongkui Lai, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/hou-2020-few-shot-slot-tagging-collapsed/)
2345. [**IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding**Bryan Wilie, Karissa Vincentio, Genta Indra Winata, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/wilie-2020-indonlu-benchmark-resources-evaluating-indonesian/)
2346. [**Evaluating the Underlying Gender Bias in Contextualized Word Embeddings**Christine Basta, Marta R. Costa-jussà, Noe Casas*2019 · 265 citations*](https://md.research.elamur.ai/free/en/papers/basta-2019-evaluating-underlying-gender-bias-contextualized/)
2347. [**A Continuously Growing Dataset of Sentential Paraphrases**Wuwei Lan, Siyu Qiu, Hua He, et al.*2017 · 265 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/)
2348. [**HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models**Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.*2024 · 264 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/)
2349. [**Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks**Haoyang Huang, Yaobo Liang, Nan Duan, et al.*2019 · 264 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-unicoder-universal-language-encoder-pre/)
2350. [**Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation**Jie Zhou, Ying Cao, Xuguang Wang, et al.*2016 · 264 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2016-deep-recurrent-models-fast-forward/)
2351. [**Learning Global Features for Coreference Resolution**Sam Wiseman, Alexander M. Rush, Stuart M. Shieber*2016 · 264 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2016-learning-global-features-coreference-resolution/)
2352. [**SemEval-2016 Task 12: Clinical TempEval**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 264 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)
2353. [**Humor Recognition and Humor Anchor Extraction**Diyi Yang, Alon Lavie, Chris Dyer, et al.*2015 · 264 citations*](https://md.research.elamur.ai/free/en/papers/yang-2015-humor-recognition-humor-anchor-extraction/)
2354. [**TakeLab: Systems for Measuring Semantic Text Similarity**Frane Šarić, Goran Glavaš, Vanja Mladen Karan, et al.*2012 · 264 citations*](https://md.research.elamur.ai/free/en/papers/saric-2012-takelab-systems-measuring-semantic-text/)
2355. [**Joint Parsing and Named Entity Recognition**Jenny Rose Finkel, Christopher D. Manning*2009 · 264 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2009-joint-parsing-named-entity-recognition/)
2356. [**A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations**Peter Turney*2008 · 264 citations*](https://md.research.elamur.ai/free/en/papers/turney-2008-uniform-approach-analogies-synonyms-antonyms/)
2357. [**A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation**Masao Utiyama, Hitoshi Isahara*2007 · 264 citations*](https://md.research.elamur.ai/free/en/papers/utiyama-2007-comparison-pivot-methods-phrase-based/)
2358. [**Learning to Classify Email into “Speech Acts”**William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell*2004 · 264 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2004-learning-classify-email-into-speech/)
2359. [**Are We on the Right Way for Evaluating Large Vision-Language Models?**Lin Chen, Jinsong Li, Xiaoyi Dong, et al.*2024 · 263 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/)
2360. [**Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2022 · 263 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/)
2361. [**Induction Networks for Few-Shot Text Classification**Ruiying Geng, Binhua Li, Yongbin Li, et al.*2019 · 263 citations*](https://md.research.elamur.ai/free/en/papers/geng-2019-induction-networks-few-shot-text/)
2362. [**Selective Attention for Context-aware Neural Machine Translation**Sameen Maruf, André F. T. Martins, Gholamreza Haffari*2019 · 263 citations*](https://md.research.elamur.ai/free/en/papers/maruf-2019-selective-attention-context-aware-neural/)
2363. [**Neural End-to-End Learning for Computational Argumentation Mining**Steffen Eger, Johannes Daxenberger, Iryna Gurevych*2017 · 263 citations*](https://md.research.elamur.ai/free/en/papers/eger-2017-neural-end-end-learning-computational/)
2364. [**CODRA: A Novel Discriminative Framework for Rhetorical Analysis**Shafiq Joty, Giuseppe Carenini, Raymond T. Ng*2015 · 263 citations*](https://md.research.elamur.ai/free/en/papers/joty-2015-codra-novel-discriminative-framework-rhetorical/)
2365. [**From Light to Rich ERE: Annotation of Entities, Relations, and Events**Zhiyi Song, Ann Bies, Stephanie Strassel, et al.*2015 · 263 citations*](https://md.research.elamur.ai/free/en/papers/song-2015-light-rich-ere-annotation-entities/)
2366. [**Toward Semantics-Based Answer Pinpointing**Eduard Hovy, Laurie Gerber, Ulf Hermjakob, et al.*2001 · 263 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2001-semantics-based-answer-pinpointing/)
2367. [**An Empirically-based System for Processing Definite Descriptions**Renata Vieira, Massimo Poesio*2000 · 263 citations*](https://md.research.elamur.ai/free/en/papers/vieira-2000-empirically-based-system-processing-definite/)
2368. [**GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models**Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.*2024 · 262 citations*](https://md.research.elamur.ai/free/en/papers/mirzadeh-2024-gsm-symbolic-understanding-limitations-mathematical/)
2369. [**The Effect of Sampling Temperature on Problem Solving in Large Language Models**Matthew Renze*2024 · 262 citations*](https://md.research.elamur.ai/free/en/papers/renze-2024-effect-sampling-temperature-problem-solving/)
2370. [**Towards Measuring the Representation of Subjective Global Opinions in Language Models**Esin Durmus, Karina Nguyen, Thomas I. Liao, et al.*2023 · 262 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/)
2371. [**BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models**Nandan Thakur, Nils Reimers, Andreas Rücklé, et al.*2021 · 262 citations*](https://md.research.elamur.ai/free/en/papers/thakur-2021-beir-heterogenous-benchmark-zero/)
2372. [**Zero-shot User Intent Detection via Capsule Neural Networks**Congying Xia, Chenwei Zhang, Xiaohui Yan, et al.*2018 · 262 citations*](https://md.research.elamur.ai/free/en/papers/xia-2018-zero-shot-user-intent-detection/)
2373. [**SemEval-2017 Task 3: Community Question Answering**Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, et al.*2017 · 262 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2017-semeval-2017-task-3-community/)
2374. [**DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models**Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/chuang-2023-dola-decoding-contrasting-layers-improves/)
2375. [**DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines**Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/)
2376. [**Condenser: a Pre-training Architecture for Dense Retrieval**Luyu Gao, Jamie Callan*2021 · 261 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/)
2377. [**Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing**Xi Victoria Lin, Richard Socher, Caiming Xiong*2020 · 261 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-bridging-textual-tabular-data-cross/)
2378. [**CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/)
2379. [**Detection of Abusive Language: the Problem of Biased Datasets**Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/wiegand-2019-detection-abusive-language-problem-biased/)
2380. [**Monotonic Infinite Lookback Attention for Simultaneous Machine Translation**Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-monotonic-infinite-lookback-attention-simultaneous/)
2381. [**Findings of the VarDial Evaluation Campaign 2017**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/)
2382. [**Abstractive Summarization of Product Reviews Using Discourse Structure**Shima Gerani, Yashar Mehdad, Giuseppe Carenini, et al.*2014 · 261 citations*](https://md.research.elamur.ai/free/en/papers/gerani-2014-abstractive-summarization-product-reviews-discourse/)
2383. [**A Simple Domain-Independent Probabilistic Approach to Generation**Gabor Angeli, Percy Liang, Dan Klein*2010 · 261 citations*](https://md.research.elamur.ai/free/en/papers/angeli-2010-simple-domain-independent-probabilistic-approach/)
2384. [**Efficient, Feature-based, Conditional Random Field Parsing**Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning*2008 · 261 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2008-efficient-feature-based-conditional-random/)
2385. [**MAVEN: A Massive General Domain Event Detection Dataset**Xiaozhi Wang, Ziqi Wang, Xu Han, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/)
2386. [**On Extractive and Abstractive Neural Document Summarization with Transformer Language Models**Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/pilault-2020-extractive-abstractive-neural-document-summarization/)
2387. [**SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!**Chhavi Sharma, Deepesh Bhageria, William Scott, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-semeval-2020-task-8-memotion/)
2388. [**TLDR: Extreme Summarization of Scientific Documents**Isabel Cachola, Kyle Lo, Arman Cohan, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/cachola-2020-tldr-extreme-summarization-scientific-documents/)
2389. [**Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge**Todor Mihaylov, Anette Frank*2018 · 260 citations*](https://md.research.elamur.ai/free/en/papers/mihaylov-2018-knowledgeable-reader-enhancing-cloze-style/)
2390. [**The Ups and Downs of Preposition Error Detection in ESL Writing**Joel R. Tetreault, Martin Chodorow*2008 · 260 citations*](https://md.research.elamur.ai/free/en/papers/tetreault-2008-ups-downs-preposition-error-detection/)
2391. [**Experiments on the Automatic Induction of German Semantic Verb Classes**Schulte im Walde, Sabine*2006 · 260 citations*](https://md.research.elamur.ai/free/en/papers/walde-2006-experiments-automatic-induction-german-semantic/)
2392. [**Collective Content Selection for Concept-to-Text Generation**Regina Barzilay, Mirella Lapata*2005 · 260 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2005-collective-content-selection-concept-text/)
2393. [**Large Language Models for Data Annotation and Synthesis: A Survey**Zhen Tan, Dawei Li, Song Wang, et al.*2024 · 259 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)
2394. [**The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants**Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.*2023 · 259 citations*](https://md.research.elamur.ai/free/en/papers/bandarkar-2023-belebele-benchmark-parallel-reading-comprehension/)
2395. [**Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing**Brian Thompson, Matt Post*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-automatic-machine-translation-evaluation-many/)
2396. [**Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq**Changhan Wang, Yun Tang, Xutai Ma, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-fairseq-s2t-fast-speech-text/)
2397. [**SenseBERT: Driving Some Sense into BERT**Yoav Levine, Barak Lenz, Or Dagan, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/levine-2020-sensebert-driving-some-sense-into/)
2398. [**Towards Debiasing Sentence Representations**Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/liang-2020-debiasing-sentence-representations/)
2399. [**A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification**Ye Zhang, Byron Wallace*2017 · 259 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-sensitivity-analysis-practitioners-guide-convolutional/)
2400. [**SemEval-2012 Task 2: Measuring Degrees of Relational Similarity**David Jurgens, Saif Mohammad, Peter Turney, et al.*2012 · 259 citations*](https://md.research.elamur.ai/free/en/papers/jurgens-2012-semeval-2012-task-2-measuring/)
2401. [**MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies**Shengding Hu, Yuge Tu, Xu Han, et al.*2024 · 258 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-minicpm-unveiling-potential-small-language/)
2402. [**CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization**Shuyang Cao, Lu Wang*2021 · 258 citations*](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/)
2403. [**Distinguish Confusing Law Articles for Legal Judgment Prediction**Nuo Xu, Pinghui Wang, Long Chen, et al.*2020 · 258 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-distinguish-confusing-law-articles-legal/)
2404. [**How Can We Accelerate Progress Towards Human-like Linguistic Generalization?**Tal Linzen*2020 · 258 citations*](https://md.research.elamur.ai/free/en/papers/linzen-2020-how-can-we-accelerate-progress/)
2405. [**Re-evaluating Evaluation in Text Summarization**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.*2020 · 258 citations*](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/)
2406. [**Multilingual is not enough: BERT for Finnish**Antti Virtanen, Jenna Kanerva, Rami Ilo, et al.*2019 · 258 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-multilingual-enough-bert-finnish/)
2407. [**Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning**Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.*2019 · 258 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/)
2408. [**A Large Self-Annotated Corpus for Sarcasm**Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/khodak-2018-large-self-annotated-corpus-sarcasm/)
2409. [**UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification**Andreas Hanselowski, Hao Zhang, Zile Li, et al.*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-ukp-athene-multi-sentence-textual/)
2410. [**Scaling Laws for Autoregressive Generative Modeling**Tom Henighan, Jared Kaplan, Mor Katz, et al.*2020 · 257 citations*](https://md.research.elamur.ai/free/en/papers/henighan-2020-scaling-laws-autoregressive-generative-modeling/)
2411. [**SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking**Hwaran Lee, Jinsik Lee, Tae-Yoon Kim*2019 · 257 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-sumbt-slot-utterance-matching-universal/)
2412. [**BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages**Benjamin Heinzerling, Michael Strube*2018 · 257 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/)
2413. [**Automatic Text Scoring Using Neural Networks**Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei*2016 · 257 citations*](https://md.research.elamur.ai/free/en/papers/alikaniotis-2016-automatic-text-scoring-neural-networks/)
2414. [**Language as a Latent Variable: Discrete Generative Models for Sentence Compression**Yishu Miao, Phil Blunsom*2016 · 257 citations*](https://md.research.elamur.ai/free/en/papers/miao-2016-language-as-latent-variable-discrete/)
2415. [**Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions**Pouya Pezeshkpour, Estevam Hruschka*2023 · 256 citations*](https://md.research.elamur.ai/free/en/papers/pezeshkpour-2023-large-language-models-sensitivity-order/)
2416. [**Contrastive Learning for Many-to-many Multilingual Neural Machine Translation**Xiao Pan, Mingxuan Wang, Liwei Wu, et al.*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/pan-2021-contrastive-learning-many-many-multilingual/)
2417. [**RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking**Ruiyang Ren, Yingqi Qu, Jing Liu, et al.*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/)
2418. [**The Multilingual Amazon Reviews Corpus**Phillip Keung, Yichao Lu, György Szarvas, et al.*2020 · 256 citations*](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/)
2419. [**L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language**Hala Mulki, Hatem Haddad, Chedi Bechikh Ali, et al.*2019 · 256 citations*](https://md.research.elamur.ai/free/en/papers/mulki-2019-l-hsab-levantine-twitter-dataset/)
2420. [**DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale**Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al.*2022 · 255 citations*](https://md.research.elamur.ai/free/en/papers/rajbhandari-2022-deepspeed-moe-advancing-mixture-experts/)
2421. [**Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions**Hongjie Cai, Rui Xia, Jianfei Yu*2021 · 255 citations*](https://md.research.elamur.ai/free/en/papers/cai-2021-aspect-category-opinion-sentiment-quadruple/)
2422. [**MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics**Kunhao Zheng, Jesse Michael Han, Stanislas Polu*2021 · 255 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-minif2f-cross-system-benchmark-formal/)
2423. [**Few-shot Natural Language Generation for Task-Oriented Dialog**Baolin Peng, Chenguang Zhu, Chunyuan Li, et al.*2020 · 255 citations*](https://md.research.elamur.ai/free/en/papers/peng-2020-few-shot-natural-language-generation/)
2424. [**Learning from Context or Names? An Empirical Study on Neural Relation Extraction**Hao Peng, Tianyu Gao, Xu Han, et al.*2020 · 255 citations*](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/)
2425. [**Answer-focused and Position-aware Neural Question Generation**Xingwu Sun, Jing Liu, Yajuan Lyu, et al.*2018 · 255 citations*](https://md.research.elamur.ai/free/en/papers/sun-2018-answer-focused-position-aware-neural/)

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