Who cites Sharan Narang
- The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 303 citations
- AugGPT: Leveraging ChatGPT for Text Data AugmentationHaixing 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 Li2023 · 302 citations
- Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
- Can AI-Generated Text be Reliably Detected?Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 301 citations
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 301 citations
- Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
- SPoT: Better Frozen Model Adaptation through Soft Prompt TransferTu Vu, Brian Lester, Noah Constant, et al.2022 · 300 citations
- InternLM2 Technical ReportZheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 299 citations
- Muppet: Massive Multi-task Representations with Pre-FinetuningArmen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 299 citations
- Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
- Want To Reduce Labeling Cost? GPT-3 Can HelpShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 298 citations
- Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al.2023 · 297 citations
- OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
- Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 296 citations
- Multimodal Chain-of-Thought Reasoning in Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 296 citations
- Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 295 citations
- Entity-Based Knowledge Conflicts in Question AnsweringShayne Longpre, Kartik Perisetla, Anthony Chen, et al.2021 · 295 citations
- Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringYanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.2020 · 295 citations
- KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationColeman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.2024 · 293 citations
- Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang, Barry Haddow, Alexandra Birch2023 · 293 citations
- FlauBERT: Unsupervised Language Model Pre-training for FrenchHang Le, Loïc Vial, Jibril Frej, et al.2019 · 293 citations
- Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
- SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationHaoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 291 citations
- Challenges and Strategies in Cross-Cultural NLPDaniel Hershcovich, Stella Frank, Heather Lent, et al.2022 · 290 citations
- CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 290 citations
- Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceTal Schuster, Adam Fisch, Regina Barzilay2021 · 289 citations
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
- On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
- Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
- QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
- Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend SkillsEric Michael Smith, Mary Williamson, Kurt Shuster, et al.2020 · 288 citations
- SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationXinyi Wang, Hieu Pham, Zihang Dai, et al.2018 · 287 citations
- PAQ: 65 Million Probably-Asked Questions and What You Can Do With ThemPatrick Lewis, Yuxiang Wu, Linqing Liu, et al.2021 · 286 citations
- Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageAndy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 285 citations
- MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 281 citations
- AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations
- Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
- Large Language Models for Mathematical Reasoning: Progresses and ChallengesJanice Ahn, Rishu Verma, Renze Lou, et al.2024 · 279 citations
- Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 279 citations
- OpenPrompt: An Open-source Framework for Prompt-learningNing Ding, Shengding Hu, Weilin Zhao, et al.2022 · 278 citations
- Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
- RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLHaoyang Li, Jing Zhang, Cuiping Li, et al.2023 · 277 citations
- XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationSebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
- A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 276 citations
- TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
- Large Dual Encoders Are Generalizable RetrieversJianmo Ni, Chen Qu, Jing Lu, et al.2021 · 276 citations
- LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
- Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
- Corrective Retrieval Augmented GenerationShi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations
- XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and BeyondFrancesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados2022 · 271 citations
- Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsTongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 271 citations
- Reducing Activation Recomputation in Large Transformer ModelsVijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022 · 270 citations
- Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsTarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 268 citations
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsBernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
- Are We on the Right Way for Evaluating Large Vision-Language Models?Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
- BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 262 citations
- DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
- TLDR: Extreme Summarization of Scientific DocumentsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 260 citations
- Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
- How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Tal Linzen2020 · 257 citations
- Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishIlias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 256 citations
- Re-evaluating Evaluation in Text SummarizationManik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 256 citations
- Multilingual is not enough: BERT for FinnishAntti Virtanen, Jenna Kanerva, Rami Ilo, et al.2019 · 256 citations
- Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.2023 · 254 citations
- DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScaleSamyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 254 citations
- TAPEX: Table Pre-training via Learning a Neural SQL ExecutorQian Liu, Bei Chen, Jiaqi Guo, et al.2021 · 254 citations
- An Empirical Survey of Data Augmentation for Limited Data Learning in NLPJiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
- GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 252 citations
- Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
- Societal Biases in Language Generation: Progress and ChallengesEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2021 · 252 citations
- Measuring and Reducing Gendered Correlations in Pre-trained ModelsKellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 252 citations
- Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
- Survey of Low-Resource Machine TranslationBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
- Generating Datasets with Pretrained Language ModelsTimo Schick, Hinrich Schutze2021 · 250 citations
- LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsKaiyu Yang, Aidan M. Swope, Alex Gu, et al.2023 · 248 citations
- Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksRabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.2021 · 248 citations
- RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
- DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
- Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
- NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
- MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 244 citations
- Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
- Ignore Previous Prompt: Attack Techniques For Language ModelsFabio Perez, Ian Ribeiro2022 · 244 citations
- Structured Denoising Diffusion Models in Discrete State-SpacesJacob Austin, Daniel D. Johnson, Jonathan Ho, et al.2021 · 244 citations
- Knowledge-Grounded Dialogue Generation with Pre-trained Language ModelsXueliang Zhao, Wei Wu, Can Xu, et al.2020 · 244 citations
- Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
- Automatic Detection of Machine Generated Text: A Critical SurveyGanesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 243 citations
- CLUE: A Chinese Language Understanding Evaluation BenchmarkLiang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 242 citations
- Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
- Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
- RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
- ASQA: Factoid Questions Meet Long-Form AnswersIvan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.2022 · 239 citations
- Curriculum Learning for Natural Language UnderstandingBenfeng Xu, Licheng Zhang, Zhendong Mao, et al.2020 · 239 citations
- MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue SystemsZhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.2020 · 239 citations
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022 · 238 citations
- Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-trainingOshin Agarwal, Heming Ge, Siamak Shakeri, et al.2021 · 238 citations
- Multimodal Few-Shot Learning with Frozen Language ModelsMaria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 238 citations
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