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Who cites Imanol Schlag

888 citations of their works from 874 papers of our library (of the 149,439 whose bibliographies we read) · 280 with a page here, the most cited first · page 3 of 3 · 201–280 · ← Imanol Schlag

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  1. mR3: Multilingual Rubric-Agnostic Reward Reasoning ModelsarXiv:2510.01146David Anugraha, Shou-Yi Hung, Zilu Tang, et al.2025 · 5 citations
  2. Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMsarXiv:2506.14731Ling Team, Bin Hu, Cai Chen, et al.2025 · 5 citations
  3. 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
  4. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningFindings of the Association for Computational LinguisticsJun Rao, Xuebo Liu, Hexuan Deng, et al.2026 · 4 citations
  5. Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT ReasoningFindings of the Association for Computational LinguisticsCehao Yang, Xueyuan Lin, Xiaojun Wu, et al.2026 · 4 citations
  6. Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse RolloutsAnnual Meeting of the Association for Computational Linguistics (ACL)Sijia Luo, Xiaokang Zhang, Yuxuan Hu, et al.2026 · 4 citations
  7. Do Not Step Into the Same River Twice: Learning to Reason from Trial and ErrorAnnual Meeting of the Association for Computational Linguistics (ACL)Chenming Tang, Hsiu-Yuan Huang, Weijie Liu, et al.2026 · 3 citations
  8. Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine TranslationLanguage Resources and Evaluation Conference (LREC)Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, et al.2026 · 3 citations
  9. FLEXITOKENS: Flexible Tokenization for Evolving Language ModelsFindings of the Association for Computational LinguisticsAbraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar2026 · 3 citations
  10. Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuyao Xu, Cheng Peng, Jiangxuan Long, et al.2026 · 3 citations
  11. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  12. MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisFindings of the Association for Computational LinguisticsZixiong Yu, Jun Rao, Guhan Chen, et al.2026 · 3 citations
  13. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
  14. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  15. ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMsInternational Conference on Computational Processing of PortugueseInês Vieira, Inês Calvo, Iago Paulo, et al.2026 · 2 citations
  16. PHEB: An European Portuguese High School-Level LLM BenchmarkLanguage Resources and Evaluation Conference (LREC)Diogo C. Tavares, Rafael Ferreira, Afonso Simplício, et al.2026 · 2 citations
  17. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVRAnnual Meeting of the Association for Computational Linguistics (ACL)Haobo Xu, Sirui Chen, Ruizhong Qiu, et al.2026 · 2 citations
  18. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  19. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
  20. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation
  21. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
  22. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
  23. Incentivizing Strong Reasoning from Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yige Yuan, Teng Xiao, Shuchang Tao, et al.2026 · 1 citation
  24. LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Jingyuan Wang, Yankai Chen, Zhonghang Li, et al.2026 · 1 citation
  25. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
  26. No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural UnderstandingTransactions of the Association for Computational Linguistics (TACL)Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, et al.2026 · 1 citation
  27. Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVRFindings of the Association for Computational LinguisticsZijun Min, Bingshuai Liu, Ante Wang, et al.2026 · 1 citation
  28. Rectified Sparse Attention for Efficient Long-Sequence GenerationFindings of the Association for Computational LinguisticsYutao Sun, Tianzhu Ye, Li Dong, et al.2026 · 1 citation
  29. StateX: Enhancing RNN Recall via Post-training State ExpansionFindings of the Association for Computational LinguisticsXingyu Shen, Yingfa Chen, Zhen Leng Thai, et al.2026 · 1 citation
  30. Towards Stable and Effective Reinforcement Learning for Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Di Zhang, Xun Wu, Shaohan Huang, et al.2026 · 1 citation
  31. When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language ModelsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang2026 · 1 citation
  32. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.2025 · 1 citation
  33. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Sihong Wu, Yilun Zhao, et al.2026
  34. AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.2026
  35. Adapting Vision-Language Models for E-commerce Understanding at ScaleConference of the European Chapter of the Association for Computational Linguistics (EACL)Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.2026
  36. Adaptive Test-Time Compute Allocation with Evolving In-Context DemonstrationsFindings of the Association for Computational LinguisticsBowen Zuo, Dongruo Zhou, Yinglun Zhu2026
  37. Are the LLMs Capable of Maintaining at Least the Language Genus?Language Resources and Evaluation Conference (LREC)Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.2026
  38. Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation TasksFindings of the Association for Computational LinguisticsShlok Shelat, Jay Raval, Souvik Roy, et al.2026
  39. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Minzheng Wang, Run Luo, Yanbo Wang, et al.2026
  40. Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhouxuwen, Fangxin Liu, Chao Wang, et al.2026
  41. Calibration-Aware Policy Optimization for Reasoning LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xingzhou Lou, Meiqi Wu, et al.2026
  42. Can Large Language Models Replace Statistical Software?Edition of the Swiss Text Analytics ConferenceYves Staudt2026
  43. 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
  44. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
  45. Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Su, Dian Yu, Linfeng Song, et al.2026
  46. Defining Cultural Capabilities for AI Evaluation: A Taxonomy Grounded in Intercultural Communication TheoryWorkshop on Evaluating Evaluations (EvalEval)Isar Nejadgholi, Masoud Kianpour, Krishnapriya Vishnubhotla, et al.2026
  47. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
  48. Don't Tell the Answer, Truly Guide the Reasoning During RL RolloutsFindings of the Association for Computational LinguisticsXinyi Wang, Jinyi Han, Zishang Jiang, et al.2026
  49. Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyuan Wang, Luozhijie Jin, Bo Wang, et al.2026
  50. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
  51. FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware QuantizationFindings of the Association for Computational LinguisticsHaiyang Xiao, Weiqing Li, Jinyue Guo, et al.2026
  52. GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.2026
  53. GR1: Reinforcement-Enhanced LLM for Geoscience ReasoningFindings of the Association for Computational LinguisticsYule Xie, Jiaxin Ding, Cheng Deng, et al.2026
  54. Graph-Augmented LLMs for Swiss MP Ideology PredictionEdition of the Swiss Text Analytics ConferenceYifei Yuan, Luis Salamanca, Sophia Schlosser, et al.2026
  55. Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric PerspectiveFindings of the Association for Computational LinguisticsYining Qian, Jinpeng Li, Fei Mi, et al.2026
  56. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
  57. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
  58. Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Minda Zhao, Yilun Du, Mengyu Wang2026
  59. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026
  60. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
  61. LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026
  62. Multi-lingual Functional Evaluation for Large Language ModelsFindings of the Association for Computational LinguisticsVictor Ojewale, Inioluwa Deborah Raji, Suresh Venkatasubramanian2026
  63. Open Problems Solved by LLMs? A Survey of Verifiable Mathematical DiscoveryBig Picture v2: Crafting a Research NarrativeIoannis Tzachristas, Georgios Tzachristas, Aifen Sui2026
  64. Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan NeutralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, et al.2026
  65. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
  66. POS Tagging with Generative LLMs for Historical Germanic Low-Resource Languages: An Evaluation Against Fine-Tuned BERTWorkshop on Language Technologies for Historical and Ancient Languages @ LRECIrene Miani, Gregory Darwin, Sara Stymne2026
  67. ProverbIT - Easy to complete, hard to choose: A CALAMITA ChallengeEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopEnrico Mensa, Lorenzo Zane, Calogero Jerik Scozzaro, et al.2026
  68. QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.2026
  69. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
  70. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.2026
  71. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
  72. Robust Language Identification for Romansh VarietiesEdition of the Swiss Text Analytics ConferenceCharlotte Model, Sina Ahmadi, Jannis Vamvas2026
  73. Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage ReweightingAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Wang, Qin Liu, Wenxuan Zhou, et al.2026
  74. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
  75. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Sitong Wu, Haoru Tan, Xichen Zhang, et al.2026
  76. Triviality Corrected Endogenous RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026
  77. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow OptimizationFindings of the Association for Computational LinguisticsHuimin Xu, Shuai Zhao, Xiaobao Wu, et al.2026
  78. VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Dingwei Zhu, Shihan Dou, Zhiheng Xi, et al.2026
  79. When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026
  80. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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