Who cites Kilian Q. Weinberger
- Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsZe Liu, Yutong Lin, Yue Cao, et al.2021 · 33,826 citations
- Learning Transferable Architectures for Scalable Image RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,518 citations
- Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,947 citations
- EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksMingxing Tan, Quoc V. Le2019 · 5,308 citations
- Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksNils Reimers, Iryna Gurevych2019 · 4,838 citations
- Neural Architecture Search with Reinforcement LearningBarret Zoph, Quoc V. Le2016 · 4,331 citations
- A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
- Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,497 citations
- Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,952 citations
- COMET: A Neural Framework for MT EvaluationRicardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 1,784 citations
- CLIPScore: A Reference-free Evaluation Metric for Image CaptioningJack Hessel, Ari Holtzman, Maxwell Forbes, et al.2021 · 1,498 citations
- DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,425 citations
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.2020 · 1,355 citations
- Adversarial Learning for Neural Dialogue GenerationJiwei Li, Will Monroe, Tianlin Shi, et al.2017 · 1,044 citations
- GPT Understands, TooXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,039 citations
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 970 citations
- Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
- ImageBind: One Embedding Space To Bind Them AllRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 943 citations
- Patient Knowledge Distillation for BERT Model CompressionSiqi Sun, Yu Cheng, Zhe Gan, et al.2019 · 939 citations
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 866 citations
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 865 citations
- TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPJohn X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 857 citations
- MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceWei Zhao, Maxime Peyrard, Fei Liu, et al.2019 · 822 citations
- BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 806 citations
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 799 citations
- Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
- HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.2023 · 646 citations
- ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain KnowledgeYunxiang Li, Zihan Li, Kai Zhang, et al.2023 · 640 citations
- QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionAdams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 581 citations
- Reducing Transformer Depth on Demand with Structured DropoutAngela Fan, Edouard Grave, Armand Joulin2019 · 546 citations
- Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 536 citations
- Regularizing Neural Networks by Penalizing Confident Output DistributionsGabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 482 citations
- PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 467 citations
- Masked Autoencoders Are Scalable Vision LearnersKaiming He, Xinlei Chen, Saining Xie, et al.2021 · 463 citations
- SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionZirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 459 citations
- LinkBERT: Pretraining Language Models with Document LinksMichihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 452 citations
- OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 452 citations
- Masked Language Model ScoringJulian Salazar, Davis Liang, Toan Q. Nguyen, et al.2020 · 444 citations
- COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared TaskRicardo Rei, José G. C. de Souza, Duarte Alves, et al.2022 · 433 citations
- Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsArtidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov2021 · 417 citations
- InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksZhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 409 citations
- Automatic Detection of Generated Text is Easiest when Humans are FooledDaphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al.2019 · 406 citations
- Training data-efficient image transformers & distillation through attentionHugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 405 citations
- A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 399 citations
- Revisiting Few-sample BERT Fine-tuningTianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 361 citations
- Adversarial Training for Unsupervised Bilingual Lexicon InductionMeng Zhang, Yang Liu, Huanbo Luan, et al.2017 · 359 citations
- BRIO: Bringing Order to Abstractive SummarizationYixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 357 citations
- Adversarial Removal of Demographic Attributes from Text DataYanai Elazar, Yoav Goldberg2018 · 357 citations
- Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 356 citations
- Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackBaolin Peng, Michel Galley, Pengcheng He, et al.2023 · 354 citations
- QuestEval: Summarization Asks for Fact-based EvaluationThomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 353 citations
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebateChi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 351 citations
- FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationEsin Durmus, He He, Mona Diab2020 · 350 citations
- SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationYixin Liu, Pengfei Liu2021 · 340 citations
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 335 citations
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 327 citations
- How many data points is a prompt worth?Teven Le Scao, Alexander Rush2021 · 315 citations
- LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionDongfu Jiang, Xiang Ren, Bill Yuchen Lin2023 · 314 citations
- Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 301 citations
- Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
- Evaluating Verifiability in Generative Search EnginesNelson Liu, Tianyi Zhang, Percy Liang2023 · 294 citations
- FlauBERT: Unsupervised Language Model Pre-training for FrenchHang Le, Loïc Vial, Jibril Frej, et al.2019 · 293 citations
- Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleKoustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
- QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
- USR: An Unsupervised and Reference Free Evaluation Metric for Dialog GenerationShikib Mehri, Maxine Eskenazi2020 · 283 citations
- Is ChatGPT a Good NLG Evaluator? A Preliminary StudyJiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 281 citations
- AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations
- Ragas: Automated Evaluation of Retrieval Augmented GenerationShahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 280 citations
- TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
- XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and BeyondFrancesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados2022 · 271 citations
- Prometheus: Inducing Fine-grained Evaluation Capability in Language ModelsSeungone Kim, Jamin Shin, Yejin Cho, et al.2023 · 267 citations
- Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More RobustMarkus Freitag, Ricardo Rei, Nitika Mathur, et al.2022 · 263 citations
- Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingBrian Thompson, Matt Post2020 · 259 citations
- Re-evaluating Evaluation in Text SummarizationManik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 256 citations
- Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksRabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.2021 · 248 citations
- Interpreting Pretrained Contextualized Representations via Reductions to Static EmbeddingsRishi Bommasani, Kelly Davis, Claire Cardie2020 · 248 citations
- MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 243 citations
- Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology ReportsYuhao Zhang, Derek Merck, Emily Tsai, et al.2020 · 240 citations
- LaMP: When Large Language Models Meet PersonalizationAlireza Salemi, Sheshera Mysore, Michael Bendersky, et al.2024 · 239 citations
- Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-trainingOshin Agarwal, Heming Ge, Siamak Shakeri, et al.2021 · 238 citations
- COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020 · 235 citations
- Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
- Detecting Hallucinated Content in Conditional Neural Sequence GenerationChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 229 citations
- Neural CRF Model for Sentence Alignment in Text SimplificationChao Jiang, Mounica Maddela, Wuwei Lan, et al.2020 · 227 citations
- BLEU might be Guilty but References are not InnocentMarkus Freitag, David Grangier, Isaac Caswell2020 · 223 citations
- Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsSeungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 220 citations
- Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language ProcessingEdoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.2019 · 217 citations
- Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
- YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available ResourcesChi-kiu Lo2019 · 216 citations
- Compressing Context to Enhance Inference Efficiency of Large Language ModelsYucheng Li, Bo Dong, Frank Guerin, et al.2023 · 208 citations
- LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung Chen2023 · 206 citations
- Towards a Unified Multi-Dimensional Evaluator for Text GenerationMing Zhong, Yang Liu, Da Yin, et al.2022 · 204 citations
- On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationRuidan He, Linlin Liu, Hai Ye, et al.2021 · 204 citations
- Recursively Summarizing Books with Human FeedbackJeff Wu, Long Ouyang, Daniel M. Ziegler, et al.2021 · 201 citations
- Evaluating Factuality in Generation with Dependency-level EntailmentTanya Goyal, Greg Durrett2020 · 201 citations
- Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
- CTRLsum: Towards Generic Controllable Text SummarizationJunxian He, Wojciech Kryscinski, Bryan McCann, et al.2022 · 199 citations
- Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringOr Honovich, Leshem Choshen, Roee Aharoni, et al.2021 · 195 citations
- End-to-End Slot Alignment and Recognition for Cross-Lingual NLUWeijia Xu, Batool Haider, Saab Mansour2020 · 194 citations
- One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 191 citations
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