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Who cites Olivia Redfield

2,045 citations of their works from 2,045 papers of our library (of the 149,439 whose bibliographies we read) · 444 with a page here, the most cited first · page 4 of 5 · 301–400 · ← Olivia Redfield

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  1. DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Rong Cheng, Jinyi Liu, Yan Zheng, et al.2025 · 20 citations
  2. RARE: Retrieval-Augmented Reasoning Enhancement for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hieu Tran, Zonghai Yao, Zhichao Yang, et al.2025 · 20 citations
  3. WideSearch: Benchmarking Agentic Broad Info-SeekingarXiv:2508.07999Ryan Wong, Jiawei Wang, Junjie Zhao, et al.2025 · 20 citations
  4. Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Shuai Zhang, Feihu Che, et al.2025 · 19 citations
  5. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Wanlong Liu, Junying Chen, Ke Ji, et al.2025 · 19 citations
  6. RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoxi Li, Jiajie Jin, Yujia Zhou, et al.2025 · 19 citations
  7. ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question AnsweringarXiv:2407.16931Xiuying Chen, Tairan Wang, Taicheng Guo, et al.2024 · 19 citations
  8. RECKONING: Reasoning through Dynamic Knowledge EncodingConference on Neural Information Processing Systems (NeurIPS)Zeming Chen, Gail Weiss, Eric Mitchell, et al.2023 · 19 citations
  9. Hallucination Detection in LLMs Using Spectral Features of Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Binkowski, Denis Janiak, Albert Sawczyn, et al.2025 · 18 citations
  10. Multilingual Retrieval-Augmented Generation for Knowledge-Intensive TaskFindings of the Association for Computational LinguisticsLeonardo Ranaldi, Barry Haddow, Alexandra Birch2025 · 18 citations
  11. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
  12. 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
  13. 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
  14. SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Chelsi Jain, Yiran Wu, Yifan Zeng, et al.2025 · 16 citations
  15. Dataset Decomposition: Faster LLM Training with Variable Sequence Length CurriculumConference on Neural Information Processing Systems (NeurIPS)Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, et al.2024 · 16 citations
  16. Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and ChallengesarXiv:2309.12426Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, et al.2023 · 16 citations
  17. Question-Answering in a Low-resourced Language: Benchmark Dataset and Models for TigrinyaAnnual Meeting of the Association for Computational Linguistics (ACL)Fitsum Gaim, Wonsuk Yang, Hancheol Park, et al.2023 · 16 citations
  18. 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
  19. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
  20. MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Suleman Kazi, Ge Luo, et al.2025 · 15 citations
  21. What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Chen, Qiguang Chen, Libo Qin, et al.2025 · 15 citations
  22. Cross-document Event Coreference Search: Task, Dataset and ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Alon Eirew, Avi Caciularu, Ido Dagan2022 · 15 citations
  23. Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhisong Zhang, Yan Wang, Xinting Huang, et al.2025 · 14 citations
  24. 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
  25. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
  26. RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.2025 · 14 citations
  27. Towards Knowledge Checking in Retrieval-augmented Generation: A Representation PerspectiveConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shenglai Zeng, Jiankun Zhang, Bingheng Li, et al.2025 · 14 citations
  28. ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Changtai Zhu, Siyin Wang, Ruijun Feng, et al.2025 · 13 citations
  29. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
  30. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yifei Wang, Feng Xiong, Yong Wang, et al.2025 · 13 citations
  31. How Much Can RAG Help the Reasoning of LLM?arXiv:2410.02338Jingyu Liu, Jiaen Lin, Yong Liu2024 · 13 citations
  32. HeQ: a Large and Diverse Hebrew Reading Comprehension BenchmarkAmir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.2023 · 13 citations
  33. Dolomites: Domain-Specific Long-Form Methodical TasksTransactions of the Association for Computational Linguistics (TACL)Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.2025 · 12 citations
  34. Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning ArgumentationsConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto, et al.2025 · 12 citations
  35. 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
  36. SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric KnowledgearXiv:2509.07968Lukas Haas, Gal Yona, Giovanni D'Antonio, et al.2025 · 12 citations
  37. ELQA: A Corpus of Metalinguistic Questions and Answers about EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, et al.2023 · 12 citations
  38. Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Gang Chen, et al.2025 · 11 citations
  39. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
  40. Hit the Sweet Spot! Span-Level Ensemble for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Yangyifan Xu, Jianghao Chen, Junhong Wu, et al.2025 · 11 citations
  41. Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Huang, Xiaocheng Feng, Weitao Ma, et al.2025 · 11 citations
  42. Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt StylesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxi Xia, Pedro Henrique Luz De Araujo, Klim Zaporojets, et al.2025 · 11 citations
  43. SelfElicit: Your Language Model Secretly Knows Where is the Relevant EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, et al.2025 · 11 citations
  44. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rupak Sarkar, Heran Mane, et al.2024 · 11 citations
  45. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-ThoughtarXiv:2505.15431Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2025 · 10 citations
  46. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  47. AmQA: Amharic Question Answering DatasetarXiv:2303.03290Tilahun Abedissa, Ricardo Usbeck, Yaregal Assabie2023 · 10 citations
  48. The Perceptimatic English Benchmark for Speech Perception ModelsarXiv:2005.03418Juliette Millet, Ewan Dunbar2020 · 10 citations
  49. Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Shiyu Ni, Keping Bi, Jiafeng Guo, et al.2025 · 9 citations
  50. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human PreferencesarXiv:2410.02381Genta Indra Winata, David Anugraha, Lucky Susanto, et al.2024 · 9 citations
  51. ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
  52. Retrieval as Generation: A Unified Framework with Self-Triggered Information PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Li, Mingda Wang, Gexiang Fang, et al.2026 · 8 citations
  53. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
  54. PragmatiCQA: A Dataset for Pragmatic Question Answering in ConversationsPeng Qi, Nina Du, Christopher Manning, et al.2023 · 8 citations
  55. DebateQA: Evaluating Question Answering on Debatable KnowledgeFindings of the Association for Computational LinguisticsRongwu Xu, Xuan Qi, Zehan Qi, et al.2026 · 7 citations
  56. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
  57. TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy OptimizationFindings of the Association for Computational LinguisticsShichao Ma, Zhiyuan Ma, Ming Yang, et al.2026 · 7 citations
  58. ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.2025 · 7 citations
  59. MoM: Linear Sequence Modeling with Mixture-of-MemoriesarXiv:2502.13685Jusen Du, Weigao Sun, Disen Lan, et al.2025 · 7 citations
  60. MultiWikiQA: A Reading Comprehension Benchmark in 300+ LanguagesLanguage Resources and Evaluation Conference (LREC)Dan Saattrup Smart2026 · 6 citations
  61. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  62. Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUsarXiv:2504.07866Yichun Yin, Wenyong Huang, Kaikai Song, et al.2025 · 6 citations
  63. A Lightweight Method to Generate Unanswerable Questions in EnglishFindings of the Association for Computational LinguisticsVagrant Gautam, Miaoran Zhang, Dietrich Klakow2023 · 6 citations
  64. False Sense of Security: Why Probing-based Malicious Input Detection Fails to GeneralizeFindings of the Association for Computational LinguisticsCheng Wang, Zeming Wei, Qin Liu, et al.2026 · 5 citations
  65. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
  66. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsRui Qi, Fengran Mo, Yufeng Chen, et al.2026 · 5 citations
  67. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.2026 · 5 citations
  68. A Collection of Question Answering Datasets for NorwegianNordic Conference on Computational Linguistics (NoDaLiDa)Vladislav Mikhailov, Petter Mæhlum, Victoria Ovedie Chruickshank Langø, et al.2025 · 5 citations
  69. Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Chengkai Huang, Yu Xia, Rui Wang, et al.2025 · 5 citations
  70. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
  71. MTEB-NL and E5-NL: Embedding Benchmark and Models for DutchFindings of the Association for Computational LinguisticsNikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.2026 · 4 citations
  72. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
  73. UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Woongyeong Yeo, Kangsan Kim, Soyeong Jeong, et al.2026 · 4 citations
  74. Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalFindings of the Association for Computational LinguisticsKidist Amde Mekonnen, Yosef Worku Alemneh, Maarten de Rijke2025 · 4 citations
  75. TIGQA: An Expert-Annotated Question-Answering Dataset in TigrinyaLanguage Resources and Evaluation Conference (LREC)Hailay Kidu Teklehaymanot, Dren Fazlija, Niloy Ganguly, et al.2024 · 4 citations
  76. A guide to the dataset explosion in QA, NLI, and commonsense reasoningAnna Rogers, Anna Rumshisky2020 · 4 citations
  77. Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
  78. Confidence Should Be Calibrated More Than One Turn DeepAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, et al.2026 · 3 citations
  79. How Long Reasoning Chains Influence LLMs' Judgment of Answer FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Minzhu Tu, Shiyu Ni, Keping Bi2026 · 3 citations
  80. BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch LanguageWorkshop on Building and Using Comparable Corpora (BUCC)Ehsan Lotfi, Nikolay Banar, Walter Daelemans2025 · 3 citations
  81. Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding LayersarXiv:2503.02851Zicong He; Boxuan Zhang;, Lu Cheng2025 · 3 citations
  82. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  83. Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
  84. Harnessing Consistency for Robust Test-Time LLM EnsembleFindings of the Association for Computational LinguisticsZhichen Zeng, Qi Yu, Xiao Lin, et al.2026 · 2 citations
  85. MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning ModelsFindings of the Association for Computational LinguisticsXinming Wang, Jian Xu, Bin Yu, et al.2026 · 2 citations
  86. Qomhrá: A Bilingual Irish and English Large Language ModelWorkshop on Language Models for Low-Resource LanguagesJoseph McInerney, Khanh-Tung Tran, Liam Lonergan, et al.2026 · 2 citations
  87. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, et al.2026 · 2 citations
  88. Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Tianle Xia, Ming Xu, Lingxiang Hu, et al.2026 · 2 citations
  89. Speculative Decoding with a Speculative VocabularyFindings of the Association for Computational LinguisticsMiles Williams, Young D. Kwon, Rui Li, et al.2026 · 2 citations
  90. The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2026 · 2 citations
  91. ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition ModelingFindings of the Association for Computational LinguisticsZhipeng Xu, Zhenghao Liu, Yukun Yan, et al.2026 · 2 citations
  92. Activation-Guided Local Editing for Jailbreaking AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jiecong Wang, Haoran Li, Hao Peng, et al.2026 · 1 citation
  93. AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAGFindings of the Association for Computational LinguisticsQijie You, Wenkai Yu, Hao Liang, et al.2026 · 1 citation
  94. All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Wang, Guozhao Mo, Yafei Shi, et al.2026 · 1 citation
  95. arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqi Wang, Jiefu Ou, Yangqiu Song, et al.2026 · 1 citation
  96. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
  97. Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Schreieder, Tim Schopf, Michael Färber2026 · 1 citation
  98. Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace DiagnosticsAnnual Meeting of the Association for Computational Linguistics (ACL)Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma2026 · 1 citation
  99. Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible ConstraintsFindings of the Association for Computational LinguisticsJuntao Wu, Wei Wen, Xianting Huang, et al.2026 · 1 citation
  100. Can Models Help Us Create Better Models? Evaluating LLMs as Data ScientistsFindings of the Association for Computational LinguisticsMichał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz, et al.2026 · 1 citation

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