--- title: "Computer Science — papers, page 46 — Elamur Research" description: "Computer Science: 9,085 papers of the Elamur Research library · page 46 of 92 · 4426–4525, the most cited first — our summary of each, its…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/46/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/46/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / page 46 # 🖥️ Computer Science 9,085 papers · page 46 of 92 · 4426–4525 · 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) [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/45/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [40](https://md.research.elamur.ai/free/en/shelves/computer-science/page/40/) … [45](https://md.research.elamur.ai/free/en/shelves/computer-science/page/45/) **46** [47](https://md.research.elamur.ai/free/en/shelves/computer-science/page/47/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/page/50/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/47/) 4426. [**Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation**Aditya Siddhant, Ankur Bapna, Yuan Cao, et al.*2020 · 108 citations*](https://md.research.elamur.ai/free/en/papers/siddhant-2020-leveraging-monolingual-data-self-supervision/) 4427. [**Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs**Deepak Nathani, Jatin Chauhan, Charu Sharma, et al.*2019 · 108 citations*](https://md.research.elamur.ai/free/en/papers/nathani-2019-learning-attention-based-embeddings-relation/) 4428. [**Analyzing lexical emergence in Modern American English online**Jack Grieve, Andrea Nini, Diansheng Guo*2016 · 108 citations*](https://md.research.elamur.ai/free/en/papers/grieve-2016-lexical-emergence-american-english/) 4429. [**“Ask Not What Textual Entailment Can Do for You...”**Mark Sammons, V.G.Vinod Vydiswaran, Dan Roth*2010 · 108 citations*](https://md.research.elamur.ai/free/en/papers/sammons-2010-ask-not-what-textual-entailment/) 4430. [**Data Engineering for Scaling Language Models to 128K Context**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/) 4431. [**Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM**Bochuan Cao, Yuanpu Cao, Lu Lin, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/cao-2024-defending-against-alignment-breaking-attacks/) 4432. [**GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers**Qintong Li, Leyang Cui, Xueliang Zhao, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-gsm-plus-comprehensive-benchmark-evaluating/) 4433. [**Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest**Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/hessel-2023-do-androids-laugh-electric-sheep/) 4434. [**Leveraging GPT-4 for Automatic Translation Post-Editing**Vikas Raunak, Amr Sharaf, Yiren Wang, et al.*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/raunak-2023-leveraging-gpt-4-automatic-translation/) 4435. [**Physics of Language Models: Part 3.1, Knowledge Storage and Extraction**Zeyuan Allen-Zhu, Yuanzhi Li*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-3/) 4436. [**Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?**Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, et al.*2022 · 107 citations*](https://md.research.elamur.ai/free/en/papers/pruthi-2022-evaluating-explanations-how-much-do/) 4437. [**French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English**Aurélie Névéol, Yoann Dupont, Julien Bezançon, et al.*2022 · 107 citations*](https://md.research.elamur.ai/free/en/papers/neveol-2022-french-crows-pairs-extending-challenge/) 4438. [**Rethinking Document-level Neural Machine Translation**Zewei Sun, Mingxuan Wang, Hao Zhou, et al.*2022 · 107 citations*](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) 4439. [**End-to-End Bias Mitigation by Modelling Biases in Corpora**Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/mahabadi-2020-end-end-bias-mitigation-modelling/) 4440. [**LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in Contracts**Don Tuggener, Pius von Däniken, Thomas Peetz, et al.*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/tuggener-2020-ledgar-large-scale-multi-label/) 4441. [**Offensive Language and Hate Speech Detection for Danish**Gudbjartur Ingi Sigurbergsson, Leon Derczynski*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/) 4442. [**APE at Scale and Its Implications on MT Evaluation Biases**Markus Freitag, Isaac Caswell, Scott Roy*2019 · 107 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/) 4443. [**Increasing Informativeness in Temporal Annotation**James Pustejovsky, Amber Stubbs*2011 · 107 citations*](https://md.research.elamur.ai/free/en/papers/pustejovsky-2011-increasing-informativeness-temporal-annotation/) 4444. [**Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords**György Szarvas*2008 · 107 citations*](https://md.research.elamur.ai/free/en/papers/szarvas-2008-hedge-classification-biomedical-texts-weakly/) 4445. [**The FrameNet Database and Software Tools**Charles J. Fillmore, Collin F. Baker, Hiroaki Sato*2002 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fillmore-2002-framenet-database-software-tools/) 4446. [**Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/) 4447. [**ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models**Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/baek-2024-researchagent-iterative-research-idea/) 4448. [**SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2023 · 106 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-simlm-pre-training-representation-bottleneck/) 4449. [**TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models**Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.*2023 · 106 citations*](https://md.research.elamur.ai/free/en/papers/gekhman-2023-trueteacher-learning-factual-consistency-evaluation/) 4450. [**NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task**Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, et al.*2022 · 106 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2022-nadi-2022-third-nuanced-arabic/) 4451. [**CDLM: Cross-Document Language Modeling**Avi Caciularu, Arman Cohan, Iz Beltagy, et al.*2021 · 106 citations*](https://md.research.elamur.ai/free/en/papers/caciularu-2021-cdlm-cross-document-language-modeling/) 4452. [**Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning**Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, et al.*2021 · 106 citations*](https://md.research.elamur.ai/free/en/papers/lin-2021-common-sense-beyond-english-evaluating/) 4453. [**NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints**Ximing Lu, Peter West, Rowan Zellers, et al.*2021 · 106 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-neurologic-decoding-un-supervised-neural/) 4454. [**Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech**Nianwen Xue, Ondřej Bojar, Jan Hajič, et al.*2014 · 106 citations*](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/) 4455. [**Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment**Peter LoBue, Alexander Yates*2011 · 106 citations*](https://md.research.elamur.ai/free/en/papers/lobue-2011-types-common-sense-knowledge-needed/) 4456. [**An HMM Approach to Vowel Restoration in Arabic and Hebrew**Ya'akov Gal*2002 · 106 citations*](https://md.research.elamur.ai/free/en/papers/gal-2002-hmm-approach-vowel-restoration-arabic/) 4457. [**Bilingual FrameNet Dictionaries for Machine Translation**Hans C. Boas*2002 · 106 citations*](https://md.research.elamur.ai/free/en/papers/boas-2002-bilingual-framenet-dictionaries-machine-translation/) 4458. [**Robust, applied morphological generation**Guido Minnen, John Carroll, Darren Pearce*2000 · 106 citations*](https://md.research.elamur.ai/free/en/papers/minnen-2000-robust-applied-morphological-generation/) 4459. [**TokenSkip: Controllable Chain-of-Thought Compression in LLMs**Heming Xia, Chak Tou Leong, Wenjie Wang, et al.*2025 · 105 citations*](https://md.research.elamur.ai/free/en/papers/xia-2025-tokenskip-controllable-chain-thought-compression/) 4460. [**ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models**Ning Bian, Xianpei Han, Le Sun, et al.*2024 · 105 citations*](https://md.research.elamur.ai/free/en/papers/bian-2024-chatgpt-is-knowledgeable-but-inexperienced/) 4461. [**Complementary Explanations for Effective In-Context Learning**Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/ye-2023-complementary-explanations-effective-context-learning/) 4462. [**SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks**Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-swiftsage-generative-agent-fast-slow/) 4463. [**Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/) 4464. [**DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification**Libo Qin, Wanxiang Che, Yangming Li, et al.*2020 · 105 citations*](https://md.research.elamur.ai/free/en/papers/qin-2020-dcr-net-deep-co-interactive/) 4465. [**Playing with Words at the National Library of Sweden — Making a Swedish BERT**Martin Malmsten, Love Borjeson, Chris Haffenden*2020 · 105 citations*](https://md.research.elamur.ai/free/en/papers/malmsten-2020-playing-words-national-library-sweden/) 4466. [**A Frame-Semantic Approach to Semantic Annotation**John B. Lowe*1997 · 105 citations*](https://md.research.elamur.ai/free/en/papers/lowe-1997-frame-semantic-approach-semantic-annotation/) 4467. [**Survey of Cultural Awareness in Language Models: Text and Beyond**Siddhesh Pawar, Junyeong Park, Jiho Jin, et al.*2025 · 104 citations*](https://md.research.elamur.ai/free/en/papers/pawar-2025-survey-cultural-awareness-language-models/) 4468. [**Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs**Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.*2024 · 104 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-skywork-reward-bag-tricks/) 4469. [**Investigating Reasons for Disagreement in Natural Language Inference**Nan-Jiang Jiang, Marie-Catherine de Marneffe*2022 · 104 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-investigating-reasons-disagreement-natural-language/) 4470. [**NTREX-128 – News Test References for MT Evaluation of 128 Languages**Christian Federmann, Tom Kocmi, Ying Xin*2022 · 104 citations*](https://md.research.elamur.ai/free/en/papers/federmann-2022-ntrex-128-news-test-references/) 4471. [**A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies**A. Seza Doğruöz, Sunayana Sitaram, Barbara E. Bullock, et al.*2021 · 104 citations*](https://md.research.elamur.ai/free/en/papers/dogruoz-2021-survey-code-switching-linguistic-social/) 4472. [**HEAD-QA: A Healthcare Dataset for Complex Reasoning**David Vilares, Carlos Gómez-Rodríguez*2019 · 104 citations*](https://md.research.elamur.ai/free/en/papers/vilares-2019-head-qa-healthcare-dataset-complex/) 4473. [**Simple and Effective Noisy Channel Modeling for Neural Machine Translation**Kyra Yee, Yann Dauphin, Michael Auli*2019 · 104 citations*](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/) 4474. [**Understanding Learning Dynamics Of Language Models with SVCCA**Naomi Saphra, Adam Lopez*2019 · 104 citations*](https://md.research.elamur.ai/free/en/papers/saphra-2019-understanding-learning-dynamics-language-models/) 4475. [**Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs**Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, et al.*2017 · 104 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2017-learning-how-simplify-explicit-labeling/) 4476. [**Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms**Christo Kirov, John Sylak-Glassman, Roger Que, et al.*2016 · 104 citations*](https://md.research.elamur.ai/free/en/papers/kirov-2016-wiktionary-paradigms/) 4477. [**Modelling Irony in Twitter**Francesco Barbieri, Horacio Saggion*2014 · 104 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter/) 4478. [**Measuring Machine Translation Errors in New Domains**Ann Irvine, John Morgan, Marine Carpuat, et al.*2013 · 104 citations*](https://md.research.elamur.ai/free/en/papers/irvine-2013-measuring-machine-translation-errors-new/) 4479. [**Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning**Tian Xie, Zitian Gao, Qingnan Ren, et al.*2025 · 103 citations*](https://md.research.elamur.ai/free/en/papers/xie-2025-logic-rl-unleashing-llm/) 4480. [**Learning to Retrieve In-Context Examples for Large Language Models**Liang Wang, Nan Yang, Furu Wei*2024 · 103 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-learning-retrieve-context-examples-large/) 4481. [**MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries**Yixuan Tang, Yi Yang*2024 · 103 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-multihop-rag-benchmarking-retrieval-augmented/) 4482. [**LENS: A Learnable Evaluation Metric for Text Simplification**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/) 4483. [**Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence**Hung-Ting Chen, Michael Zhang, Eunsol Choi*2022 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-rich-knowledge-sources-bring-complex/) 4484. [**Aspect-Controlled Neural Argument Generation**Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych*2021 · 103 citations*](https://md.research.elamur.ai/free/en/papers/schiller-2021-aspect-controlled-neural-argument-generation/) 4485. [**CausaLM: Causal Model Explanation Through Counterfactual Language Models**Amir Feder, Nadav Oved, Uri Shalit, et al.*2021 · 103 citations*](https://md.research.elamur.ai/free/en/papers/feder-2021-causalm-causal-model-explanation-through/) 4486. [**Evaluating the Evaluation of Diversity in Natural Language Generation**Guy Tevet, Jonathan Berant*2021 · 103 citations*](https://md.research.elamur.ai/free/en/papers/tevet-2021-evaluating-evaluation-diversity-natural-language/) 4487. [**Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada**Bharathi Raja Chakravarthi, Ruba Priyadharshini, Navya Jose, et al.*2021 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2021-findings-shared-task-offensive-language/) 4488. [**Learning Language Specific Sub-network for Multilingual Machine Translation**Zehui Lin, Liwei Wu, Mingxuan Wang, et al.*2021 · 103 citations*](https://md.research.elamur.ai/free/en/papers/lin-2021-learning-language-specific-sub-network/) 4489. [**An Annotated Dataset of Coreference in English Literature**David Bamman, Olivia Lewke, Anya Mansoor*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2020-annotated-dataset-coreference-english-literature/) 4490. [**Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank**Ethan C. Chau, Lucy H. Lin, Noah A. Smith*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chau-2020-parsing-multilingual-bert-small-corpus/) 4491. [**Uncertain Natural Language Inference**Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-uncertain-natural-language-inference/) 4492. [**Exact Hard Monotonic Attention for Character-Level Transduction**Shijie Wu, Ryan Cotterell*2019 · 103 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-exact-hard-monotonic-attention-character/) 4493. [**Pragmatically Informative Image Captioning with Character-Level Inference**Reuben Cohn-Gordon, Noah Goodman, Christopher Potts*2018 · 103 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2018-pragmatically-informative-image-captioning-character/) 4494. [**SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)**Isabel Segura-Bedmar, Paloma Martínez, María Herrero-Zazo*2013 · 103 citations*](https://md.research.elamur.ai/free/en/papers/bedmar-2013-semeval-2013-task-9-extraction/) 4495. [**Machine Learning for Coreference Resolution: From Local Classification to Global Ranking**Vincent Ng*2005 · 103 citations*](https://md.research.elamur.ai/free/en/papers/ng-2005-machine-learning-coreference-resolution-local/) 4496. [**An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words**Patrick Pantel, Dekang Lin*2000 · 103 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2000-unsupervised-approach-prepositional-phrase-attachment/) 4497. [**Dialogue Acts, Synchronizing Units, and Anaphora Resolution**Miriam Eckert, Michael Strube*2000 · 103 citations*](https://md.research.elamur.ai/free/en/papers/eckert-2000-dialogue-acts-synchronizing-units-anaphora/) 4498. [**An Alternative Conception of Tree-Adjoining Derivation**Yves Schabes, Stuart M. Shieber*1994 · 103 citations*](https://md.research.elamur.ai/free/en/papers/schabes-1994-alternative-conception-tree-adjoining-derivation/) 4499. [**Nemotron-4 340B Technical Report**Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.*2024 · 102 citations*](https://md.research.elamur.ai/free/en/papers/adler-2024-nemotron-4-340b-technical-report/) 4500. [**Tokenizer Choice For LLM Training: Negligible or Crucial?**Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.*2024 · 102 citations*](https://md.research.elamur.ai/free/en/papers/ali-2024-tokenizer-choice-llm-training-negligible/) 4501. [**Towards Measuring and Modeling “Culture” in LLMs: A Survey**Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.*2024 · 102 citations*](https://md.research.elamur.ai/free/en/papers/adilazuarda-2024-measuring-modeling-culture-llms-survey/) 4502. [**AnglE-optimized Text Embeddings**Xianming Li, Jing Li*2023 · 102 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-angle-optimized-text-embeddings/) 4503. [**LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition**Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.*2023 · 102 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-lorahub-efficient-cross-task-generalization/) 4504. [**Parallel Context Windows for Large Language Models**Nir Ratner, Yoav Levine, Yonatan Belinkov, et al.*2023 · 102 citations*](https://md.research.elamur.ai/free/en/papers/ratner-2023-parallel-context-windows-large-language/) 4505. [**Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation**Heming Xia, Tao Ge, Peiyi Wang, et al.*2023 · 102 citations*](https://md.research.elamur.ai/free/en/papers/xia-2023-speculative-decoding-exploiting-speculative-execution/) 4506. [**Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction**Zhanming Jie, Jierui Li, Wei Lu*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/) 4507. [**On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark**Hao Sun, Guangxuan Xu, Jiawen Deng, et al.*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/) 4508. [**Scaling Laws for Transfer**Danny Hernandez, Jared Kaplan, Tom Henighan, et al.*2021 · 102 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2021-scaling-laws-transfer/) 4509. [**Look at the First Sentence: Position Bias in Question Answering**Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, et al.*2020 · 102 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-look-first-sentence-position-bias/) 4510. [**NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task**Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, et al.*2020 · 102 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2020-nadi-2020-first-nuanced-arabic/) 4511. [**Exploiting Monolingual Data at Scale for Neural Machine Translation**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) 4512. [**Findings of the WMT 2019 Shared Task on Automatic Post-Editing**Rajen Chatterjee, Christian Federmann, Matteo Negri, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-findings-wmt-2019-shared-task/) 4513. [**Probing Natural Language Inference Models through Semantic Fragments**Kyle Richardson, Hai Hu, Lawrence S. Moss, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/richardson-2019-probing-natural-language-inference-models/) 4514. [**Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English**Su Lin Blodgett, Brendan O'Connor*2017 · 102 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2017-racial-disparity-natural-language-processing/) 4515. [**The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language**Rada Mihalcea, Carlo Strapparava*2009 · 102 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2009-lie-detector-explorations-automatic-recognition/) 4516. [**A Unified Local and Global Model for Discourse Coherence**Micha Elsner, Joseph Austerweil, Eugene Charniak*2007 · 102 citations*](https://md.research.elamur.ai/free/en/papers/elsner-2007-unified-local-global-model-discourse/) 4517. [**Making Computers Laugh: Investigations in Automatic Humor Recognition**Rada Mihalcea, Carlo Strapparava*2005 · 102 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2005-making-computers-laugh-investigations-automatic/) 4518. [**MMTEB: Massive Multilingual Text Embedding Benchmark**Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.*2025 · 101 citations*](https://md.research.elamur.ai/free/en/papers/enevoldsen-2025-mmteb-massive-multilingual-text-embedding/) 4519. [**UI-TARS: Pioneering Automated GUI Interaction with Native Agents**Yujia Qin, Yining Ye, Junjie Fang, et al.*2025 · 101 citations*](https://md.research.elamur.ai/free/en/papers/qin-2025-ui-tars-pioneering-automated/) 4520. [**Arcee's MergeKit: A Toolkit for Merging Large Language Models**Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/goddard-2024-arcee-s-mergekit-toolkit-merging/) 4521. [**Who Wrote this Code? Watermarking for Code Generation**Taehyun Lee, Seokhee Hong, Jaewoo Ahn, et al.*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-who-wrote-this-code-watermarking/) 4522. [**BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting**Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.*2023 · 101 citations*](https://md.research.elamur.ai/free/en/papers/yong-2023-bloom-1-adding-language-support/) 4523. [**Copyright Violations and Large Language Models**Antonia Karamolegkou, Jiaang Li, Li Zhou, et al.*2023 · 101 citations*](https://md.research.elamur.ai/free/en/papers/karamolegkou-2023-copyright-violations-large-language-models/) 4524. [**Statistical Rejection Sampling Improves Preference Optimization**Tianqi Liu, Yao Zhao, Rishabh Joshi, et al.*2023 · 101 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-statistical-rejection-sampling-improves-preference/) 4525. [**FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization**David Wan, Mohit Bansal*2022 · 101 citations*](https://md.research.elamur.ai/free/en/papers/wan-2022-factpegasus-factuality-aware-pre-training/) [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/45/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [40](https://md.research.elamur.ai/free/en/shelves/computer-science/page/40/) … [45](https://md.research.elamur.ai/free/en/shelves/computer-science/page/45/) **46** [47](https://md.research.elamur.ai/free/en/shelves/computer-science/page/47/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/page/50/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/47/)