---
title: "Artificial Intelligence — papers, page 21 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 21 of 90 · 1926–2025, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/21/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/21/)

[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/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 21

# 🤖 Artificial Intelligence

8,885 papers · page 21 of 90 · 1926–2025 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers (8,885)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) **21** [22](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/22/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/30/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/22/)

1926. [**Hallucination is Inevitable: An Innate Limitation of Large Language Models**Ziwei Xu, Sanjay Jain, Mohan Kankanhalli*2024 · 309 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-hallucination-inevitable-innate-limitation-large/)
1927. [**Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?**Peter Hase, Mohit Bansal*2020 · 309 citations*](https://md.research.elamur.ai/free/en/papers/hase-2020-evaluating-explainable-ai-which-algorithmic/)
1928. [**A Minimal Span-Based Neural Constituency Parser**Mitchell Stern, Jacob Andreas, Dan Klein*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/stern-2017-minimal-span-based-neural-constituency/)
1929. [**Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms**Shulin Liu, Yubo Chen, Kang Liu, et al.*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-exploiting-argument-information-improve-event/)
1930. [**TIES-Merging: Resolving Interference When Merging Models**Prateek Yadav, Derek Tam, Leshem Choshen, et al.*2023 · 308 citations*](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/)
1931. [**Using String-Kernels for Learning Semantic Parsers**Rohit J. Kate, Raymond J. Mooney*2006 · 308 citations*](https://md.research.elamur.ai/free/en/papers/kate-2006-string-kernels-learning-semantic-parsers/)
1932. [**A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree**Xiaoqiang Luo, Abe Ittycheriah, Hongyan Jing, et al.*2004 · 308 citations*](https://md.research.elamur.ai/free/en/papers/luo-2004-mention-synchronous-coreference-resolution-algorithm/)
1933. [**Precision and Recall of Machine Translation**I. Dan Melamed, Ryan Green, Joseph P. Turian*2003 · 308 citations*](https://md.research.elamur.ai/free/en/papers/melamed-2003-precision-recall-machine-translation/)
1934. [**Discovering Language Model Behaviors with Model-Written Evaluations**Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.*2022 · 307 citations*](https://md.research.elamur.ai/free/en/papers/perez-2022-discovering-language-model-behaviors-model/)
1935. [**Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.*2022 · 307 citations*](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/)
1936. [**Good-Enough Compositional Data Augmentation**Jacob Andreas*2020 · 307 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/)
1937. [**Challenges and frontiers in abusive content detection**Bertie Vidgen, Alex Harris, Dong Nguyen, et al.*2019 · 307 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2019-challenges-frontiers-abusive-content-detection/)
1938. [**Get out the vote: Determining support or opposition from Congressional floor-debate transcripts**Matt Thomas, Bo Pang, Lillian Lee*2006 · 307 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/)
1939. [**AugGPT: Leveraging ChatGPT for Text Data Augmentation**Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li*2023 · 306 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-auggpt-leveraging-chatgpt-text-data/)
1940. [**From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models**Shangbin Feng, Chan Young Park, Yuhan Liu, et al.*2023 · 306 citations*](https://md.research.elamur.ai/free/en/papers/feng-2023-pretraining-data-language-models-downstream/)
1941. [**Multi-hop Reading Comprehension through Question Decomposition and Rescoring**Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.*2019 · 306 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/)
1942. [**A Survey of Domain Adaptation for Neural Machine Translation**Chenhui Chu, Rui Wang*2018 · 306 citations*](https://md.research.elamur.ai/free/en/papers/chu-2018-survey-domain-adaptation-neural-machine/)
1943. [**Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow**Pengcheng Yin, Bowen Deng, Edgar Chen, et al.*2018 · 306 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-learning-mine-aligned-code-natural/)
1944. [**Computational Argumentation Quality Assessment in Natural Language**Henning Wachsmuth, Nona Naderi, Yufang Hou, et al.*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/)
1945. [**Identifying beneficial task relations for multi-task learning in deep neural networks**Joachim Bingel, Anders Søgaard*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/)
1946. [**Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation**George Foster, Cyril Goutte, Roland Kuhn*2010 · 306 citations*](https://md.research.elamur.ai/free/en/papers/foster-2010-discriminative-instance-weighting-domain-adaptation/)
1947. [**A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features**Min Zhang, Jie Zhang, Jian Su, et al.*2006 · 306 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2006-composite-kernel-extract-relations-between/)
1948. [**Recognising Textual Entailment with Logical Inference**Johan Bos, Katja Markert*2005 · 306 citations*](https://md.research.elamur.ai/free/en/papers/bos-2005-recognising-textual-entailment-logical-inference/)
1949. [**Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model**Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi*2020 · 305 citations*](https://md.research.elamur.ai/free/en/papers/mozafari-2020-hate-speech-detection-racial-bias/)
1950. [**Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation**Wang Ling, Tiago Luis, Luis Marujo, et al.*2015 · 305 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-finding-function-form-compositional-character/)
1951. [**How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources**Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.*2023 · 304 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-far-camels-go-exploring-state/)
1952. [**Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense**Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.*2023 · 304 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/)
1953. [**Abductive Commonsense Reasoning**Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/)
1954. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
1955. [**Nested Named Entity Recognition Revisited**Arzoo Katiyar, Claire Cardie*2018 · 304 citations*](https://md.research.elamur.ai/free/en/papers/katiyar-2018-nested-named-entity-recognition-revisited/)
1956. [**SemEval 2016 Task 11: Complex Word Identification**Gustavo Paetzold, Lucia Specia*2016 · 304 citations*](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)
1957. [**Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning**Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.*2025 · 303 citations*](https://md.research.elamur.ai/free/en/papers/jin-2025-search-r1-training-llms-reason/)
1958. [**PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts**Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.*2023 · 303 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-promptrobust-towards-evaluating-robustness-large/)
1959. [**ZeRO-Offload: Democratizing Billion-Scale Model Training**Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.*2021 · 303 citations*](https://md.research.elamur.ai/free/en/papers/ren-2021-zero-offload-democratizing-billion-scale/)
1960. [**Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering**Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.*2019 · 303 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/)
1961. [**Automated Fact Checking: Task Formulations, Methods and Future Directions**James Thorne, Andreas Vlachos*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/)
1962. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
1963. [**Do Multi-Sense Embeddings Improve Natural Language Understanding?**Jiwei Li, Dan Jurafsky*2015 · 303 citations*](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/)
1964. [**Overview for the First Shared Task on Language Identification in Code-Switched Data**Thamar Solorio, Elizabeth Blair, Suraj Maharjan, et al.*2014 · 303 citations*](https://md.research.elamur.ai/free/en/papers/solorio-2014-overview-first-shared-task-language/)
1965. [**An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation**Yoong Keok Lee, Hwee Tou Ng*2002 · 303 citations*](https://md.research.elamur.ai/free/en/papers/lee-2002-empirical-evaluation-knowledge-sources-learning/)
1966. [**Can AI-Generated Text be Reliably Detected?**Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.*2023 · 302 citations*](https://md.research.elamur.ai/free/en/papers/sadasivan-2023-ai-generated-text-reliably-detected/)
1967. [**Large Language Models are Better Reasoners with Self-Verification**Yixuan Weng, Minjun Zhu, Fei Xia, et al.*2023 · 302 citations*](https://md.research.elamur.ai/free/en/papers/weng-2023-large-language-models-are-better/)
1968. [**Scaling Laws for Reward Model Overoptimization**Leo Gao, John Schulman, Jacob Hilton*2022 · 302 citations*](https://md.research.elamur.ai/free/en/papers/gao-2022-scaling-laws-reward-model-overoptimization/)
1969. [**SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer**Tu Vu, Brian Lester, Noah Constant, et al.*2022 · 302 citations*](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/)
1970. [**ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers**Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.*2022 · 302 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-zeroquant-efficient-affordable-post-training/)
1971. [**A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling**Haihong E, Peiqing Niu, Zhongfu Chen, et al.*2019 · 302 citations*](https://md.research.elamur.ai/free/en/papers/e-2019-novel-bi-directional-interrelated-model/)
1972. [**TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation**Tao Yu, Zifan Li, Zilin Zhang, et al.*2018 · 302 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-typesql-knowledge-based-type-aware/)
1973. [**Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach**Jingjing Xu, Xu Sun, Qi Zeng, et al.*2018 · 302 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-unpaired-sentiment-sentiment-translation-cycled/)
1974. [**Globally Coherent Text Generation with Neural Checklist Models**Chloé Kiddon, Luke Zettlemoyer, Yejin Choi*2016 · 302 citations*](https://md.research.elamur.ai/free/en/papers/kiddon-2016-globally-coherent-text-generation-neural/)
1975. [**Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM**Ivan Habernal, Iryna Gurevych*2016 · 302 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/)
1976. [**Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment**Jason R. Smith, Chris Quirk, Kristina Toutanova*2010 · 302 citations*](https://md.research.elamur.ai/free/en/papers/smith-2010-extracting-parallel-sentences-comparable-corpora/)
1977. [**Near-Synonymy and Lexical Choice**Philip Edmonds, Graeme Hirst*2002 · 302 citations*](https://md.research.elamur.ai/free/en/papers/edmonds-2002-near-synonymy-lexical-choice/)
1978. [**DialogSum: A Real-Life Scenario Dialogue Summarization Dataset**Yulong Chen, Yang Liu, Liang Chen, et al.*2021 · 301 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/)
1979. [**MoEL: Mixture of Empathetic Listeners**Zhaojiang Lin, Andrea Madotto, Jamin Shin, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-moel-mixture-empathetic-listeners/)
1980. [**Challenges for Toxic Comment Classification: An In-Depth Error Analysis**Betty van Aken, Julian Risch, Ralf Krestel, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/aken-2018-challenges-toxic-comment-classification-depth/)
1981. [**Learning Named Entity Tagger using Domain-Specific Dictionary**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/)
1982. [**Learning to Write with Cooperative Discriminators**Ari Holtzman, Jan Buys, Maxwell Forbes, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/holtzman-2018-learning-write-cooperative-discriminators/)
1983. [**Unsupervised Type and Token Identification of Idiomatic Expressions**Afsaneh Fazly, Paul Cook, Suzanne Stevenson*2009 · 301 citations*](https://md.research.elamur.ai/free/en/papers/fazly-2009-unsupervised-type-token-identification-idiomatic/)
1984. [**Finding Contradictions in Text**Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning*2008 · 301 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2008-finding-contradictions-text/)
1985. [**Challenges and Applications of Large Language Models**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
1986. [**Character-LLM: A Trainable Agent for Role-Playing**Yunfan Shao, Linyang Li, Junqi Dai, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-character-llm-trainable-agent-role/)
1987. [**Multi-step Jailbreaking Privacy Attacks on ChatGPT**Haoran Li, Dadi Guo, Wei Fan, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-multi-step-jailbreaking-privacy-attacks/)
1988. [**ALFWorld: Aligning Text and Embodied Environments for Interactive Learning**Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.*2020 · 300 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2020-alfworld-aligning-text-embodied-environments/)
1989. [**Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation**Ning Dai, Jianze Liang, Xipeng Qiu, et al.*2019 · 300 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-style-transformer-unpaired-text-style/)
1990. [**Distant Supervision for Relation Extraction with an Incomplete Knowledge Base**Bonan Min, Ralph Grishman, Li Wan, et al.*2013 · 300 citations*](https://md.research.elamur.ai/free/en/papers/min-2013-distant-supervision-relation-extraction-incomplete/)
1991. [**Improving Translation Quality by Discarding Most of the Phrasetable**Howard Johnson, Joel Martin, George Foster, et al.*2007 · 300 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2007-improving-translation-quality-discarding-most/)
1992. [**Learning Semantic Constraints for the Automatic Discovery of Part-Whole Relations**Roxana Girju, Adriana Badulescu, Dan Moldovan*2003 · 300 citations*](https://md.research.elamur.ai/free/en/papers/girju-2003-learning-semantic-constraints-automatic-discovery/)
1993. [**A Comparison of Alignment Models for Statistical Machine Translation**Franz Josef Och, Hermann Ney*2000 · 300 citations*](https://md.research.elamur.ai/free/en/papers/och-2000-comparison-alignment-models-statistical-machine/)
1994. [**InternLM2 Technical Report**Zheng Cai, Maosong Cao, Haojiong Chen, et al.*2024 · 299 citations*](https://md.research.elamur.ai/free/en/papers/cai-2024-internlm2-technical-report/)
1995. [**Chain-of-Verification Reduces Hallucination in Large Language Models**Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al.*2023 · 299 citations*](https://md.research.elamur.ai/free/en/papers/dhuliawala-2023-chain-verification-reduces-hallucination-large/)
1996. [**Muppet: Massive Multi-task Representations with Pre-Finetuning**Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.*2021 · 299 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/)
1997. [**UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning**Wei Li, Can Gao, Guocheng Niu, et al.*2021 · 299 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/)
1998. [**Bridging the Gap between Training and Inference for Neural Machine Translation**Wen Zhang, Yang Feng, Fandong Meng, et al.*2019 · 299 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/)
1999. [**Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network**Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, et al.*2019 · 299 citations*](https://md.research.elamur.ai/free/en/papers/sahu-2019-inter-sentence-relation-extraction-document/)
2000. [**Deep Exhaustive Model for Nested Named Entity Recognition**Mohammad Golam Sohrab, Makoto Miwa*2018 · 299 citations*](https://md.research.elamur.ai/free/en/papers/sohrab-2018-deep-exhaustive-model-nested-named/)
2001. [**Paraphrase Generation with Deep Reinforcement Learning**Zichao Li, Xin Jiang, Lifeng Shang, et al.*2018 · 299 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-paraphrase-generation-deep-reinforcement-learning/)
2002. [**Incorporating Discrete Translation Lexicons into Neural Machine Translation**Philip Arthur, Graham Neubig, Satoshi Nakamura*2016 · 299 citations*](https://md.research.elamur.ai/free/en/papers/arthur-2016-incorporating-discrete-translation-lexicons-into/)
2003. [**Joint Mention Extraction and Classification with Mention Hypergraphs**Wei Lu, Dan Roth*2015 · 299 citations*](https://md.research.elamur.ai/free/en/papers/lu-2015-joint-mention-extraction-classification-mention/)
2004. [**Memory-Based Dependency Parsing**Joakim Nivre, Johan Hall, Jens Nilsson*2004 · 299 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2004-memory-based-dependency-parsing/)
2005. [**Aligning Sentences in Bilingual Corpora Using Lexical Information**Stanley F. Chen*1993 · 299 citations*](https://md.research.elamur.ai/free/en/papers/chen-1993-aligning-sentences-bilingual-corpora-lexical/)
2006. [**MathPrompter: Mathematical Reasoning using Large Language Models**Shima Imani, Liang Du, Harsh Shrivastava*2023 · 298 citations*](https://md.research.elamur.ai/free/en/papers/imani-2023-mathprompter-mathematical-reasoning-large-language/)
2007. [**Want To Reduce Labeling Cost? GPT-3 Can Help**Shuohang Wang, Yang Liu, Yichong Xu, et al.*2021 · 298 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-want-reduce-labeling-cost-gpt/)
2008. [**Entity Linking via Joint Encoding of Types, Descriptions, and Context**Nitish Gupta, Sameer Singh, Dan Roth*2017 · 298 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2017-entity-linking-joint-encoding-types/)
2009. [**A Dependency Parser for Tweets**Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.*2014 · 298 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)
2010. [**A Comparison of Features for Automatic Readability Assessment**Lijun Feng, Martin Jansche, Matt Huenerfauth, et al.*2010 · 298 citations*](https://md.research.elamur.ai/free/en/papers/feng-2010-comparison-features-automatic-readability-assessment/)
2011. [**Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs**Shengbang Tong, Zhuang Liu, Yuexiang Zhai, et al.*2024 · 297 citations*](https://md.research.elamur.ai/free/en/papers/tong-2024-eyes-wide-shut-exploring-visual/)
2012. [**Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting**Zhen Qin, Rolf Jagerman, Kai Hui, et al.*2024 · 297 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-large-language-models-are-effective/)
2013. [**Multimodal Chain-of-Thought Reasoning in Language Models**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2023 · 297 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-multimodal-chain-thought-reasoning-language/)
2014. [**Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation**Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.*2022 · 297 citations*](https://md.research.elamur.ai/free/en/papers/clark-2022-canine-pre-training-efficient-tokenization/)
2015. [**FlauBERT: Unsupervised Language Model Pre-training for French**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 297 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/)
2016. [**Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning**Pengda Qin, Weiran Xu, William Yang Wang*2018 · 297 citations*](https://md.research.elamur.ai/free/en/papers/qin-2018-robust-distant-supervision-relation-extraction/)
2017. [**Copied Monolingual Data Improves Low-Resource Neural Machine Translation**Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield*2017 · 297 citations*](https://md.research.elamur.ai/free/en/papers/currey-2017-copied-monolingual-data-improves-low/)
2018. [**Bayesian Unsupervised Topic Segmentation**Jacob Eisenstein, Regina Barzilay*2008 · 297 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2008-bayesian-unsupervised-topic-segmentation/)
2019. [**Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources**Bill Dolan, Chris Quirk, Chris Brockett*2004 · 297 citations*](https://md.research.elamur.ai/free/en/papers/dolan-2004-unsupervised-construction-large-paraphrase-corpora/)
2020. [**Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data**Canwen Xu, Daya Guo, Nan Duan, et al.*2023 · 296 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-baize-open-source-chat-model/)
2021. [**Document-Level Machine Translation with Large Language Models**Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.*2023 · 296 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/)
2022. [**BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla**Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.*2022 · 296 citations*](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/)
2023. [**Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering**Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.*2020 · 296 citations*](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)
2024. [**Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs**Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou*2019 · 296 citations*](https://md.research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/)
2025. [**Towards Debiasing Fact Verification Models**Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.*2019 · 296 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-debiasing-fact-verification-models/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) **21** [22](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/22/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/30/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/22/)
