Papers of 2022 — page 2262 papers · all years1 2 3Idiomify -- Building a Collocation-supplemented Reverse Dictionary of English Idioms with Word2Vec for non-native learnersEu-Bin KimEnglishIgnore Previous Prompt: Attack Techniques For Language ModelsFabio Perez, Ian RibeiroarXiv:2211.09527IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna GurevychEnglishImproving alignment of dialogue agents via targeted human judgementsAmelia Glaese, Nat McAleese, Maja Trębacz, et al.arXiv:2209.14375Improving Passage Retrieval with Zero-Shot Question GenerationDevendra Sachan, Mike Lewis, Mandar Joshi, et al.Proceedings of the 2022 Conference on Empirical…Infinitivketten in biblischen und qumranischen Texten (Infinitive chains in biblical and Qumran texts)L. BindrimAncient HebrewInterleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsHarsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.arXiv:2212.10509Internet-Augmented Dialogue GenerationMojtaba Komeili, Kurt Shuster, Jason WestonProceedings of the 60th Annual Meeting of the…Internet-augmented language models through few-shot prompting for open-domain question answeringAngeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al.arXiv:2203.05115Introducing BEREL: BERT Embeddings for Rabbinic-Encoded LanguageAvi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.Ancient HebrewInvestigating Reasons for Disagreement in Natural Language InferenceNan-Jiang Jiang, Marie-Catherine de MarneffeTransactions of the Association for…Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.arXiv:2212.10450Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationRajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.arXiv:2210.01241It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story BooksBingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.EnglishKnowledge Unlearning for Mitigating Privacy Risks in Language ModelsJoel Jang, Dongkeun Yoon, Sohee Yang, et al.arXiv:2210.01504LAION-5B: An open large-scale dataset for training next generation image-text modelsChristoph Schuhmann, Romain Beaumont, Richard Vencu, et al.arXiv:2210.08402LaMDA: Language Models for Dialog ApplicationsRomal Thoppilan, Daniel De Freitas, Jamie Hall, et al.arXiv:2201.08239Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He HearXiv:2210.01240Language Models are Multilingual Chain-of-Thought ReasonersFreda Shi, Mirac Suzgun, Markus Freitag, et al.arXiv:2210.03057Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.arXiv:2201.07207Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.arXiv:2211.01910Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.Research libraryLarge Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.arXiv:2212.13138Large Language Models Struggle to Learn Long-Tail KnowledgeNikhil Kandpal, Haikang Deng, Adam Roberts, et al.arXiv:2211.08411Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them AllEylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al.Ancient HebrewLarge Scale Substitution-based Word Sense InductionMatan Eyal, Shoval Sadde, Hillel Taub-Tabib, et al.EnglishLayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingYupan Huang, Tengchao Lv, Lei Cui, et al.arXiv:2204.08387Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei LuMova's core listLeast-to-most prompting enables complex reasoning in large language modelsResearch libraryLeveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David WingatearXiv:2210.12353Lifting the Curse of Multilinguality by Pre-training Modular TransformersJonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.Proceedings of the 2022 Conference of the North…LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.Proceedings of the 2022 Conference on Empirical…Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language DirectionsVivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, et al.Machine translationLinkBERT: Pretraining Language Models with Document LinksMichihiro Yasunaga, Jure Leskovec, Percy LiangProceedings of the 60th Annual Meeting of the…Lip̄nē 'in the face of': A Locative Preposition with a Threatening ConnotationCamil StapsAncient HebrewLLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language ModelsChan Hee Song, Jiaman Wu, Clayton Washington, et al.arXiv:2212.04088LongT5: Efficient Text-To-Text Transformer for Long SequencesMandy Guo, Joshua Ainslie, David Uthus, et al.Findings of the Association for Computational…Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?Ajay Patel, Nicholas Andrews, Chris Callison-BurchMachine translationMaieutic Prompting: Logically Consistent Reasoning with Recursive ExplanationsJaehun Jung, Lianhui Qin, Sean Welleck, et al.Proceedings of the 2022 Conference on Empirical…MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringAnkit Pal, Logesh Kumar Umapathi, Malaikannan SankarasubbuarXiv:2203.14371 · ACM Conference on Health…Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.arXiv:2205.10770mGPT: Few-Shot Learners Go MultilingualOleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.arXiv:2204.07580Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeMitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.arXiv:2203.05482Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and GeneratorNizar Habash, Reham Marzouk, Christian Khairallah, et al.Semitic languagesMTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.arXiv:2210.07316Negating the infinitive in Biblical HebrewMartin EhrensvärdAncient HebrewNTREX-128 – News Test References for MT Evaluation of 128 LanguagesChristian Federmann, Tom Kocmi, Ying XinProceedings of the First Workshop on Scaling Up…Nucleus Composition in Transition-based Dependency ParsingJoakim Nivre, Ali Basirat, Luise Dürlich, et al.EnglishOFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.arXiv:2202.03052Offensive language detection in Hebrew: can other languages help?Marina Litvak, Natalia Vanetik, Chaya Liebeskind, et al.Modern HebrewOne Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.arXiv:2212.09741Opinion Piece: Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotesAmir ZeldesEnglishOPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.arXiv:2212.12017Out of One, Many: Using Language Models to Simulate Human SamplesLisa P. Argyle, Ethan C. Busby, Nancy Fulda, et al.arXiv:2209.06899P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.Proceedings of the 60th Annual Meeting of the…PaLI: A Jointly-Scaled Multilingual Language-Image ModelXi Chen, Xiao Wang, Soravit Changpinyo, et al.arXiv:2209.06794ParaDetox: Detoxification with Parallel DataVarvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, et al.Proceedings of the 60th Annual Meeting of the…Parsing Early Modern English for Linguistic SearchSeth Kulick, Neville Ryant, Beatrice SantoriniEnglishPCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in EnglishXinran Zhao, Hongming Zhang, Yangqiu SongEnglishPenn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and AnalysisSeth Kulick, Neville Ryant, Beatrice SantoriniEnglishPhotorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, et al.arXiv:2205.11487PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.arXiv:2206.10498PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.Proceedings of the 60th Annual Meeting of the…Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction ButtressingPaolo Pedinotti, Emmanuele Chersoni, Enrico Santus, et al.EnglishPrecise Zero-Shot Dense Retrieval without Relevance LabelsLuyu Gao, Xueguang Ma, Jimmy Lin, et al.arXiv:2212.10496Predicting the Proficiency Level of Nonnative Hebrew AuthorsIsabelle Nguyen, Shuly WintnerModern HebrewProbing Classifiers: Promises, Shortcomings, and AdvancesYonatan BelinkovComputational LinguisticsProgPrompt: Generating Situated Robot Task Plans using Large Language ModelsIshika Singh, Valts Blukis, Arsalan Mousavian, et al.arXiv:2209.11302Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning TasksWenhu Chen, Xueguang Ma, Xinyi Wang, et al.arXiv:2211.12588Promptagator: Few-shot Dense Retrieval From 8 ExamplesZhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.arXiv:2209.11755Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.arXiv:2210.09150PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsStephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.arXiv:2202.01279PropBank Comes of Age—Larger, Smarter, and more DiverseSameer Pradhan, Julia Bonn, Skatje Myers, et al.EnglishPutting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic MarkersYang Janet Liu, Jena D. Hwang, Nathan Schneider, et al.EnglishQAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.Proceedings of the 2022 Conference of the North…QuALITY: Question Answering with Long Input Texts, Yes!Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al.Proceedings of the 2022 Conference of the North…Quark: Controllable Text Generation with Reinforced UnlearningXiming Lu, Sean Welleck, Jack Hessel, et al.arXiv:2205.13636 · NeurIPS 2022 (Oral Selection)ReAct: Synergizing Reasoning and Acting in Language ModelsShunyu Yao, Jeffrey Zhao, Dian Yu, et al.arXiv:2210.03629RealTime QA: What's the Answer Right Now?Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.arXiv:2207.13332Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.arXiv:2212.09597Recognition of They/Them as Singular Personal Pronouns in Coreference ResolutionConnor Baumler, Rachel RudingerEnglishRed Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedDeep Ganguli, Liane Lovitt, Jackson Kernion, et al.arXiv:2209.07858Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.Proceedings of the 2022 Conference on Empirical…Reducing Activation Recomputation in Large Transformer ModelsVijay Korthikanti, Jared Casper, Sangkug Lym, et al.arXiv:2205.05198Referring Expressions with Rational Speech Act Framework: A Probabilistic ApproachHieu Le, Taufiq Daryanto, Fabian Zhafransyah, et al.EnglishReframing Instructional Prompts to GPTk's LanguageSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.Findings of the Association for Computational…Restoring Hebrew Diacritics Without a DictionaryElazar Gershuni, Yuval PinterAncient HebrewResults of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More RobustMarkus Freitag, Ricardo Rei, Nitika Mathur, et al.Machine translationRethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.Proceedings of the 2022 Conference on Empirical…Revisiting "verbal agreement": The case of Israeli HebrewLeon ShorModern HebrewRevisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.arXiv:2212.07981RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.Proceedings of the 2022 Conference on Empirical…Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, et al.arXiv:2212.04356ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningOlga Golovneva, Moya Chen, Spencer Poff, et al.arXiv:2212.07919Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesGowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.Transactions of the Association for…Scalable Diffusion Models with TransformersWilliam Peebles, Saining XiearXiv:2212.09748SCROLLS: Standardized CompaRison Over Long Language SequencesUri Shaham, Elad Segal, Maor Ivgi, et al.Proceedings of the 2022 Conference on Empirical…Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang, Jason Wei, Dale Schuurmans, et al.arXiv:2203.11171Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.arXiv:2206.05802Semantic properties of English nominal pluralization: Insights from word embeddingsElnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.English1 2 3