Who cites David R. So
- Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
- GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 162 citations
- Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
- The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationPatrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.2023 · 156 citations
- HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
- Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not InnocentMarkus Freitag, Nitika Mathur, Chi-kiu Lo, et al.2023 · 155 citations
- Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsTianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024 · 151 citations
- BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesJunho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 citations
- How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
- RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
- Iterative Reasoning Preference OptimizationRichard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 144 citations
- MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
- PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
- Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
- Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsAvi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.2023 · 134 citations
- Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
- AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
- MetricX-23: The Google Submission to the WMT 2023 Metrics Shared TaskJuraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.2023 · 118 citations
- Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 117 citations
- From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
- ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
- DistiLLM: Towards Streamlined Distillation for Large Language ModelsJongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 111 citations
- Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationAojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 109 citations
- Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesShuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 100 citations
- MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
- Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
- "I'd rather just go to bed": Understanding Indirect AnswersAnnie Louis, Dan Roth, Filip Radlinski2020 · 70 citations
- Bridging the Preference Gap between Retrievers and LLMsZixuan Ke, Weize Kong, Cheng Li, et al.2024 · 45 citations
- MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding MethodsMara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag2023 · 30 citations
- M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationZhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
- Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
- DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
- A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference ResolutionBowen Ding, Qingkai Min, Shengkun Ma, et al.2024 · 17 citations
- Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnLiang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
- Chinchilla Scaling: A replication attemptTamay Besiroglu, Ege Erdil, Matthew Barnett, et al.2024 · 12 citations
- Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningYang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
- Automatic Evaluate Dialogue Appropriateness by Using Dialogue ActBao Chen, Yuanjie Wang, Zeming Liu, et al.2023 · 6 citations
- AlcLaM: Arabic Dialectal Language ModelMurtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 1 citation
- Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
- From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.2024
- Robustness of GPT Large Language Models on Natural Language Processing Tasks (GPT系列大语言模型在自然语言处理任务中的鲁棒性)Xuanting Chen (陈炫婷), Junjie Ye (叶俊杰), Can Zu (祖璨), et al.2024
This page in Markdown → https://md.research.elamur.ai/free/en/authors/david-r-so/cited-by/page/2/