Who cites Charles Blundell
- Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
- Continual Lifelong Learning with Neural Networks: A ReviewarXiv:1802.07569German I. Parisi, Ronald Kemker, Jose L. Part, et al.2018 · 3,224 citations
- What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
- Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
- Memory Aware Synapses: Learning what (not) to forgetLecture notes in computer scienceRahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, et al.2017 · 1,608 citations
- A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksarXiv:1512.05287Yarin Gal, Zoubin Ghahramani2015 · 1,032 citations
- Atlas: Few-shot Learning with Retrieval Augmented Language ModelsarXiv:2208.03299Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.2022 · 673 citations
- PathNet: Evolution Channels Gradient Descent in Super Neural NetworksarXiv:1701.08734Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.2017 · 667 citations
- Transferable Multi-Domain State Generator for Task-Oriented Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, et al.2019 · 628 citations
- Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
- The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
- RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
- Deep Exploration via Bootstrapped DQNarXiv:1602.04621Ian Osband, Charles Blundell, Alexander Pritzel, et al.2016 · 490 citations
- Show your work: Scratchpads for intermediate computation with language models2021 · 473 citations
- Meta-Learning for Low-Resource Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiatao Gu, Yong Wang, Yun Chen, et al.2018 · 456 citations
- Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
- Hindsight Experience ReplayarXiv:1707.01495Marcin Andrychowicz, Filip Wolski, Alex Ray, et al.2017 · 421 citations
- True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 412 citations
- Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General AgentsJournal of Artificial Intelligence ResearchMarlos C. Machado, Marc G. Bellemare, Erik Talvitie, et al.2017 · 393 citations
- Progress & Compress: A scalable framework for continual learningarXiv:1805.06370Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, et al.2018 · 338 citations
- Exploration by Random Network DistillationarXiv:1810.12894Yuri Burda, Harrison Edwards, Amos Storkey, et al.2018 · 302 citations
- Overcoming Catastrophic Forgetting by Incremental Moment MatchingarXiv:1703.08475Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, et al.2017 · 298 citations
- Diverse Few-Shot Text Classification with Multiple MetricsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.2018 · 291 citations
- Induction Networks for Few-Shot Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Ruiying Geng, Binhua Li, Yongbin Li, et al.2019 · 263 citations
- Multimodal Few-Shot Learning with Frozen Language ModelsarXiv:2106.13884Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 258 citations
- SUMBT: Slot-Utterance Matching for Universal and Scalable Belief TrackingAnnual Meeting of the Association for Computational Linguistics (ACL)Hwaran Lee, Jinsik Lee, Tae-Yoon Kim2019 · 258 citations
- Personalizing Dialogue Agents via Meta-LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, et al.2019 · 246 citations
- Few-Shot and Zero-Shot Multi-Label Learning for Structured Label SpacesConference on Empirical Methods in Natural Language Processing (EMNLP)Anthony Rios, Ramakanth Kavuluru2018 · 246 citations
- From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal LikelihoodAnnual Meeting of the Association for Computational Linguistics (ACL)Kelvin Guu, Panupong Pasupat, Evan Liu, et al.2017 · 236 citations
- CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.2022 · 234 citations
- Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations
- Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
- Scalable agent alignment via reward modeling: a research directionarXiv:1811.07871Jan Leike, David Krueger, Tom Everitt, et al.2018 · 227 citations
- Zero-Shot Cross-Lingual Transfer with Meta LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, et al.2020 · 171 citations
- Dataset Condensation with Gradient MatchingInternational Conference on Learning Representations (ICLR)Bo Zhao, Konda Reddy Mopuri, Hakan Bilen2020 · 159 citations
- On Hallucination and Predictive Uncertainty in Conditional Language GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Yijun Xiao, William Yang Wang2021 · 157 citations
- Continual Relation Learning via Episodic Memory Activation and ReconsolidationAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Han, Yi Dai, Tianyu Gao, et al.2020 · 152 citations
- Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
- Faithful Reasoning Using Large Language ModelsarXiv:2208.14271Antonia Creswell, Murray Shanahan2022 · 122 citations
- Reinforcement Learning on Web Interfaces Using Workflow-Guided ExplorationarXiv:1802.08802Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.2018 · 119 citations
- Deep Reinforcement Learning at the Edge of the Statistical PrecipicearXiv:2108.13264Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, et al.2021 · 90 citations
- Quantifying Uncertainty in Answers from any Language Model and Enhancing their TrustworthinessAnnual Meeting of the Association for Computational Linguistics (ACL)Jiuhai Chen, Jonas Mueller2024 · 72 citations
- AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
- Uncertainty Estimation and Reduction of Pre-trained Models for Text RegressionTransactions of the Association for Computational Linguistics (TACL)Yuxia Wang, Daniel Beck, Timothy Baldwin, et al.2022 · 49 citations
- Large Language Models Are Human-Like InternallyTransactions of the Association for Computational Linguistics (TACL)Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, et al.2025 · 30 citations
- Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
- MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
- ModuleFormer: Modularity Emerges from Mixture-of-ExpertsarXiv:2306.04640Yikang Shen, Zheyu Zhang, Tianyou Cao, et al.2023 · 21 citations
- CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
- Large Language Model-Enhanced Multi-Armed BanditsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahang Sun, Zhiyong Wang, Runhan Yang, et al.2026 · 1 citation
- Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio UnderstandingFindings of the Association for Computational LinguisticsJieyi Wang, Yazhe Niu, Dexuan Xu, et al.2026 · 1 citation
- Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Minsik Oh, Jiwei Li, Guoyin Wang2026 · 1 citation
- Agentic Episodic ControlFindings of the Association for Computational LinguisticsXidong Yang, Wenhao Li, Junjie Sheng, et al.2026
- AURORA: Neuro-Symbolic Continual Indexing for Evolving RAG SystemsFindings of the Association for Computational LinguisticsManoj Saravanan, Rohit Kumar Salla, Ramya Manasa Amancherla2026
- Decoupling Generalization and Adaptation in Meta-Learning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitin Vetcha, Binqian Xu, Dianbo Liu2026
- Dual-Axis Compositional Contrastive Few-Shot Learning using Prototypes Across Linguistic and Semantic Dimensions for Indic Low-Resource Multilingual NLUWorkshop on Language Technology for Equality, Diversity, InclusionKathakali Mitra, Sakshi Singh, Sree Nithish Reddy Gunapati, et al.2026
- LoopCoder: Scaling Code Intelligence via Looped Language ModelsFindings of the Association for Computational LinguisticsJian Yang, Wei Zhang, Shuyue Guo, et al.2026
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