📦 Other747 papers · page 14 of 30 · newest first · all shelvesWorks whose topics fit none of the fields above yet.← prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 next →Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsJoel Jang, Dongkeun Yoon, Sohee Yang, et al.2022LAION-5B: An open large-scale dataset for training next generation image-text modelsChristoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022LaMDA: Language Models for Dialog ApplicationsRomal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022Large Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022Large Language Models Struggle to Learn Long-Tail KnowledgeNikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingYupan Huang, Tengchao Lv, Lei Cui, et al.2022Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language ModelsChan Hee Song, Jiaman Wu, Clayton Washington, et al.2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringAnkit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2022Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022mGPT: Few-Shot Learners Go MultilingualOleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.2022Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeMitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022Out of One, Many: Using Language Models to Simulate Human SamplesLisa P. Argyle, Ethan C. Busby, Nancy Fulda, et al.2022PaLI: A Jointly-Scaled Multilingual Language-Image ModelXi Chen, Xiao Wang, Soravit Changpinyo, et al.2022Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, et al.2022PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022Precise Zero-Shot Dense Retrieval without Relevance LabelsLuyu Gao, Xueguang Ma, Jimmy Lin, et al.2022ProgPrompt: Generating Situated Robot Task Plans using Large Language ModelsIshika Singh, Valts Blukis, Arsalan Mousavian, et al.2022Promptagator: Few-shot Dense Retrieval From 8 ExamplesZhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022← prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 next →