🧑‍🔬 Who cites Jiahao Xu

243 citations of their works from 243 papers of our library (of the 149,439 whose bibliographies we read) · 69 with a page here, the most cited first · ← Jiahao Xu

1. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
2. Understanding R1-Zero-Like Training: A Critical PerspectivearXiv:2503.20783Zichen Liu, Changyu Chen, Wenjun Li, et al.2025 · 286 citations
3. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 211 citations
4. 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
5. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
6. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 154 citations
7. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 125 citations
8. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
9. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 67 citations
10. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
11. CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
12. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
13. Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form TextsConference on Machine Translation (WMT)Eleftheria Briakou, Jiaming Luo, Colin Cherry, et al.2024 · 46 citations
14. AdaptThink: Reasoning Models Can Learn When to ThinkConference on Empirical Methods in Natural Language Processing (EMNLP)Jiajie Zhang, Nianyi Lin, Lei Hou, et al.2025 · 44 citations
15. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
16. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
17. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
18. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
19. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
20. DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning ModelsarXiv:2505.13975Yuxuan Jiang, Dawei Li, Francis Ferraro2025 · 21 citations
21. ConCISE: Confidence-guided Compression in Step-by-step Efficient ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ziqing Qiao, Yongheng Deng, Jiali Zeng, et al.2025 · 19 citations
22. AttnPO: Attention-Guided Process Supervision for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaiyi Nie, Dingsiyu, Wenyuan Zhang, et al.2026 · 18 citations
23. Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and EleganceConference on Empirical Methods in Natural Language Processing (EMNLP)Andong Chen, Lianzhang Lou, Kehai Chen, et al.2025 · 18 citations
24. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
25. 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
26. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
27. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ziwen Xu, Shengyu Mao, et al.2025 · 14 citations
28. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
29. Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Di Wu, Seth Aycock, Christof Monz2025 · 12 citations
30. Optimizing Length Compression in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiang Cheng, Dongping Chen, Mingyang Fu, et al.2026 · 11 citations
31. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
32. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gangwei Jiang, Yahui Liu, Zhaoyi Li, et al.2025 · 11 citations
33. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
34. Reinforced Efficient Reasoning via Semantically Diverse ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Zhao, Zhaochun Ren, Jiahong Zou, et al.2026 · 9 citations
35. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
36. Guiding Reasoning in Small Language Models with LLM AssistancearXiv:2504.09923Yujin Kim, Euiin Yi, Minu Kim, et al.2025 · 9 citations
37. SafeKey: Amplifying Aha-Moment Insights for Safety ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, et al.2025 · 9 citations
38. MUR: Momentum Uncertainty guided Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Yan, Fangzhi Xu, Rongman Xu, et al.2026 · 8 citations
39. Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huifeng Yin, Yu Zhao, Minghao Wu, et al.2025 · 8 citations
40. TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
41. AutoL2S: Auto Long-Short Reasoning for Efficient Large Language ModelsFindings of the Association for Computational LinguisticsFeng Luo, Yu-Neng Chuang, Guanchu Wang, et al.2026 · 7 citations
42. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Renliang Sun, Wei Cheng, Dawei Li, et al.2026 · 7 citations
43. Through the Valley: Path to Effective Long CoT Training for Small Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Luo, Jiaxi Li, Chen Huang, et al.2025 · 7 citations
44. Revisiting Model Interpolation for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Taiqiang Wu, Runming Yang, Tao Liu, et al.2026 · 6 citations
45. Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Xiong, Yujun Cai, Zhecheng Li, et al.2025 · 5 citations
46. Teach Small Models to Reason by Curriculum DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Wangyi Jiang, Yaojie Lu, Hongyu Lin, et al.2025 · 5 citations
47. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM OverthinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, et al.2026 · 4 citations
48. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
49. DeepPrune: Parallel Scaling without Inter-trace RedundancyFindings of the Association for Computational LinguisticsShangqing Tu, Yaxuan Li, Yushi Bai, et al.2026 · 3 citations
50. Long-Chain Reasoning Distillation via Adaptive Prefix AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenghao Liu, Zhuoyang Wu, Xinze Li, et al.2026 · 3 citations
51. SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Peidong Wang, Zhiming Ma, Xin Dai, et al.2026 · 3 citations
52. Steering Large Language Models for Machine Translation PersonalizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniel Scalena, Gabriele Sarti, Arianna Bisazza, et al.2026 · 3 citations
53. Too Good to be Bad: On the Failure of LLMs to Role-Play VillainsFindings of the Association for Computational LinguisticsZihao Yi, Qingxuan Jiang, Ruotian Ma, et al.2026 · 3 citations
54. AdaTooler-V: Adaptive Tool-Use for Images and VideosFindings of the Association for Computational LinguisticsChaoyang Wang, Kaituo Feng, Dongyang Chen, et al.2026 · 2 citations
55. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
56. When More Thinking Hurts: Overthinking in LLM Test-Time Compute ScalingFindings of the Association for Computational LinguisticsShu Zhou, Rui Ling, Junan Chen, et al.2026 · 2 citations
57. Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Wu, Liyi Chen, Congxi Xiao, et al.2026 · 1 citation
58. ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning ModelsFindings of the Association for Computational LinguisticsZhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.2026 · 1 citation
59. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
60. Discourse Graph Guided Document Translation with Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Viet Thanh Pham, Minghan Wang, Hao-Han Liao, et al.2026 · 1 citation
61. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionFindings of the Association for Computational LinguisticsZhuoyang Wu, Xinze Li, Zhenghao Liu, et al.2026 · 1 citation
62. Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level TriggersFindings of the Association for Computational LinguisticsVan Yang, Shouren Wang, Debargha Ganguly, et al.2026 · 1 citation
63. Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative VerifierAnnual Meeting of the Association for Computational Linguistics (ACL)Jianyuan Zhong, Zeju Li, Zhijian Xu, et al.2026 · 1 citation
64. Can Multi-agent Help Disambiguation in Multi-domain Translation?Findings of the Association for Computational LinguisticsZhibo Man, Shaoyang Xu, Yujie Zhang, et al.2026
65. CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-ThoughtFindings of the Association for Computational LinguisticsOded Schlesinger, Young Kyung Kim, J. Matias Di Martino, et al.2026
66. Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsLanguage Resources and Evaluation Conference (LREC)Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026
67. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
68. Smarter edits? Post-editing with error highlights and translation suggestionsAnnual Conference of the European Association for Machine Translation (EAMT)Fleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić, et al.2026
69. Toying with Style: Can GenAI Mimic a Literary Translator's Voice?Workshop on Style in GenAI-Translated Content (StyGenAI)Beniamin Sopot, Dorothy Kenny2026

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