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Who cites Ronak Pradeep

662 citations of their works from 572 papers of our library (of the 149,439 whose bibliographies we read) · 146 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Ronak Pradeep

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  1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  2. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationarXiv:2402.03216Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
  3. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
  4. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
  5. In-Context Retrieval-Augmented Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ori Ram, Yoav Levine, Itay Dalmedigos, et al.2023 · 793 citations
  6. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
  7. gpt-oss-120b & gpt-oss-20b Model CardarXiv:2508.10925OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai, et al.2025 · 576 citations
  8. Building a knowledge graph to enable precision medicineScientific DataPayal Chandak, Kexin Huang, Marinka Žitnik2023 · 555 citations
  9. Precise Zero-Shot Dense Retrieval without Relevance LabelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 549 citations
  10. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
  11. Benchmarking Retrieval-Augmented Generation for MedicineFindings of the Association for Computational LinguisticsGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 430 citations
  12. Query2doc: Query Expansion with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Liang Wang, Nan Yang, Furu Wei2023 · 354 citations
  13. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
  14. DeepSeek-V3.2: Pushing the Frontier of Open Large Language ModelsarXiv:2512.02556DeepSeek-AI, Aixin Liu, Aoxue Mei, et al.2025 · 341 citations
  15. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
  16. Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsarXiv:2506.05176Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 322 citations
  17. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingFindings of the Association for Computational LinguisticsZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 300 citations
  18. Fine-Tuning LLaMA for Multi-Stage Text RetrievalInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Xueguang Ma, Liang Wang, Nan Yang, et al.2023 · 257 citations
  19. Improving Passage Retrieval with Zero-Shot Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Devendra Sachan, Mike Lewis, Mandar Joshi, et al.2022 · 199 citations
  20. Re2G: Retrieve, Rerank, GenerateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 184 citations
  21. Evaluating Retrieval Quality in Retrieval-Augmented GenerationInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Alireza Salemi, Hamed Zamani2024 · 181 citations
  22. On the Risk of Misinformation Pollution with Large Language ModelsFindings of the Association for Computational LinguisticsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 179 citations
  23. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
  24. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  25. Promptagator: Few-shot Dense Retrieval From 8 ExamplesarXiv:2209.11755Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 170 citations
  26. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 166 citations
  27. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
  28. MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL)Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.2023 · 149 citations
  29. Fact-Checking Complex Claims with Program-Guided ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 146 citations
  30. Rethinking with Retrieval: Faithful Large Language Model InferencearXiv:2301.00303Hangfeng He, Hongming Zhang, Dan Roth2023 · 143 citations
  31. Mr. TyDi: A Multi-lingual Benchmark for Dense RetrievalWorkshop on Multilingual Representation LearningXinyu Zhang, Xueguang Ma, Peng Shi, et al.2021 · 129 citations
  32. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 122 citations
  33. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
  34. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
  35. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense RetrievalFindings of the Association for Computational LinguisticsSheng-Chieh Lin, Akari Asai, Minghan Li, et al.2023 · 116 citations
  36. BrowseComp: A Simple Yet Challenging Benchmark for Browsing AgentsarXiv:2504.12516Jason Wei, Zhiqing Sun, Spencer Papay, et al.2025 · 114 citations
  37. ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningarXiv:2111.10952Vamsi Aribandi, Yi Tay, Tal Schuster, et al.2021 · 114 citations
  38. Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 106 citations
  39. SimLM: Pre-training with Representation Bottleneck for Dense Passage RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wang, Nan Yang, Xiaolong Huang, et al.2023 · 106 citations
  40. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
  41. Parallel Context Windows for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nir Ratner, Yoav Levine, Yonatan Belinkov, et al.2023 · 102 citations
  42. MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsConference on Neural Information Processing Systems (NeurIPS)Mislav Balunović, Jasper Dekoninck, Ivo Petrov, et al.2025 · 99 citations
  43. GLM-5: from Vibe Coding to Agentic EngineeringarXiv:2602.15763Aohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 95 citations
  44. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
  45. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 82 citations
  46. RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsarXiv:2309.15088Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin2023 · 81 citations
  47. AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language ReasoningConference on Neural Information Processing Systems (NeurIPS)Wei Fu, Jiaxuan Gao, Xujie Shen, et al.2025 · 80 citations
  48. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
  49. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearcharXiv:2405.13576Jiajie Jin, Yutao Zhu, Guanting Dong, et al.2024 · 77 citations
  50. MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Rui Yang, Heli Qi, et al.2025 · 75 citations
  51. WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityConference on Neural Information Processing Systems (NeurIPS)Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.2025 · 72 citations
  52. InPars: Data Augmentation for Information Retrieval using Large Language ModelsarXiv:2202.05144Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee, et al.2022 · 72 citations
  53. Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 66 citations
  54. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
  55. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and UnderstandingarXiv:2501.18362Yuxin Zuo, Shang Qu, Yifei Li, et al.2025 · 65 citations
  56. Questions Are All You Need to Train a Dense Passage RetrieverTransactions of the Association for Computational Linguistics (TACL)Devendra Singh Sachan, Mike Lewis, Dani Yogatama, et al.2023 · 65 citations
  57. MiMo-V2-Flash Technical ReportarXiv:2601.02780Xiaomi LLM-Core Team; Bangjun Xiao; Bingquan Xia; Bo Yang; Bofei Gao; Bowen Shen; Chen Zhang; Chenhong He; Chiheng Lou; Fuli Luo; Gang Wang; Gang Xie; Hailin Zhang; Hanglong Lv; Hanyu Li; Heyu Chen; Hongshen Xu; Houbin Zhang; Huaqiu Liu; Jiangshan Duo; Jianyu Wei; Jiebao Xiao; Jinhao Dong; Jun Shi; Junhao Hu; Kainan Bao; Kang Zhou; Lei Li; Liang Zhao; Linghao Zhang; Peidian Li; Qianli Chen; Shaohui Liu; Shihua Yu; Shijie Cao; Shimao Chen; Shouqiu Yu; Shuo Liu; Tianling Zhou; Weijiang Su; Weikun Wang; Wenhan Ma; Xiangwei Deng; Bohan Mao; Bowen Ye; Can Cai; Chenghua Wang; Chengxuan Zhu; Chong Ma; Chun Chen; Chunan Li; Dawei Zhu; Deshan Xiao; Dong Zhang; Duo Zhang; Fangyue Liu; Feiyu Yang; Fengyuan Shi; Guoan Wang; Hao Tian; Hao Wu; Heng Qu; Hongfei Yi; Hongxu An; Hongyi Guan; Xing Zhang; Yifan Song; Yihan Yan; Yihao Zhao; Yingchun Lai; Yizhao Gao; Yu Cheng; Yuanyuan Tian; Yudong Wang; Zhen Tang; Zhengju Tang; Zhengtao Wen; Zhichao Song; Zhixian Zheng; Zihan Jiang; Jian Wen; Jiarui Sun; Jiawei Li; Jinlong Xue; Jun Xia; Kai Fang; Menghang Zhu; Nuo Chen; Qian Tu; Qihao Zhang; Qiying Wang; Rang Li; Rui Ma; Shaolei Zhang; Shengfan Wang; Shicheng Li; Shuhao Gu; Shuhuai Ren; Sirui Deng; Tao Guo; Tianyang Lu; Weiji Zhuang; Weikang Zhang; Weimin Xiong; Wenshan Huang; Wenyu Yang; Xin Zhang; Xing Yong; Xu Wang; Xueyang Xie; Yilin Jiang; Yixin Yang; Yongzhe He; Yu Tu; Yuanliang Dong; Yuchen Liu; Yue Ma; Yue Yu; Yuxing Xiang; Zhaojun Huang; Zhenru Lin; Zhipeng Xu; Zhiyang Chen; Zhonghua Deng; Zihan Zhang;, Zihao Yue2026 · 60 citations
  58. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  59. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
  60. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yuyuan Liu, et al.2025 · 45 citations
  61. The ROOTS Search Tool: Data Transparency for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Aleksandra Piktus, Christopher Akiki, Paulo Villegas, et al.2023 · 42 citations
  62. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
  63. Kimi K3: Open Frontier IntelligencearXiv:2607.24653Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 40 citations
  64. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Orion Weller, Benjamin Chang, Sean MacAvaney, et al.2025 · 40 citations
  65. Towards Robust Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.2025 · 40 citations
  66. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
  67. LitSearch: A Retrieval Benchmark for Scientific Literature SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.2024 · 39 citations
  68. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
  69. BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting EvidenceFindings of the Association for Computational LinguisticsJiajie Jin, Yutao Zhu, Yujia Zhou, et al.2024 · 28 citations
  70. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
  71. Large Language Models are Strong Zero-Shot RetrieverarXiv:2304.14233Tao Shen, Guodong Long, Xiubo Geng, et al.2023 · 26 citations
  72. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
  73. Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language ModelsFindings of the Association for Computational LinguisticsYeeun Kim, Youngrok Choi, Eunkyung Choi, et al.2024 · 24 citations
  74. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  75. MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.2025 · 21 citations
  76. ReasonRank: Empowering Passage Ranking with Strong Reasoning AbilityAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhan Liu, Xinyu Ma, Weiwei Sun, et al.2026 · 18 citations
  77. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
  78. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationarXiv:2603.19220Zhuolin Yang, Zihan Liu, Yang Chen, et al.2026 · 16 citations
  79. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
  80. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
  81. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
  82. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
  83. LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationInternational Conference on Computational Linguistics (COLING)Keheng Wang, Feiyu Duan, Peiguang Li, et al.2025 · 14 citations
  84. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
  85. DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
  86. REARANK: Reasoning Re-ranking Agent via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Le Zhang, Bo Wang, Xipeng Qiu, et al.2025 · 12 citations
  87. s3: You Don't Need That Much Data to Train a Search Agent via RLConference on Empirical Methods in Natural Language Processing (EMNLP)Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.2025 · 12 citations
  88. Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihao Li, Xu Wang, Yuzhe Yang, et al.2025 · 11 citations
  89. MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMsFindings of the Association for Computational LinguisticsZaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem2025 · 10 citations
  90. AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval AlignmentInternational Conference on Computational Linguistics (COLING)Yilong Lai, Jialong Wu, Congzhi Zhang, et al.2025 · 9 citations
  91. Thinking Out Loud: Do Reasoning Models Know When They're Right?Conference on Empirical Methods in Natural Language Processing (EMNLP)Qingcheng Zeng, Weihao Xuan, Leyang Cui, et al.2025 · 9 citations
  92. FinCARDS: Card-Based Analyst Reranking for Financial Document Question AnsweringFindings of the Association for Computational LinguisticsYixi Zhou, Fan Zhang, YU Chen, et al.2026 · 8 citations
  93. PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative VerifierarXiv:2506.10406Yuhua Jiang, Yuwen Xiong, Yufeng Yuan, et al.2025 · 8 citations
  94. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
  95. Enhancing Systematic Decompositional Natural Language Inference Using Informal LogicConference on Empirical Methods in Natural Language Processing (EMNLP)Nathaniel Weir, Kate Sanders, Orion Weller, et al.2024 · 7 citations
  96. The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate ItConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Bertolazzi, Philipp Mondorf, Barbara Plank, et al.2025 · 6 citations
  97. PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingcheng Hu, Yinmin Zhang, Shijie Shang, et al.2026 · 5 citations
  98. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
  99. AuRED: Enabling Arabic Rumor Verification using Evidence from Authorities over TwitterArabic Natural Language Processing Conference (ArabicNLP)Fatima Haouari, Tamer Elsayed, Reem Suwaileh2024 · 5 citations
  100. Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided VerificationFindings of the Association for Computational LinguisticsYuxuan Wan, Tianqing Fang, Zaitang LI, et al.2026 · 4 citations

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