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Who cites «Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge»

1933 papers of our library cite it (of the 149,439 whose bibliographies we read) · 491 with a page here, the most cited first · page 5 of 5 · 401–491 · ← back to «Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge»

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  1. Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-TuningFindings of the Association for Computational LinguisticsMu Zhang, Yuxiang Chu, Guangya Yu, et al.2026
  2. Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point FormatsAnnual Meeting of the Association for Computational Linguistics (ACL)Manyi Zhang, Ji-Fu Li, Zhongao Sun, et al.2026
  3. Beyond Uniform SVD: Dual-Level Optimization across Columns and Modules for LLM CompressionFindings of the Association for Computational LinguisticsLin Xv, Xian Gao, Ting Liu, et al.2026
  4. Biomed-Enriched: Data-Efficient Biomedical Pretraining via Paragraph-Level AnnotationFindings of the Association for Computational LinguisticsRian Touchent, Nathan Godey, Éric Villemonte de la Clergerie2026
  5. BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhixiong Zhao, Zukang Xu, Dawei Yang2026
  6. Charting the European LLM Benchmarking Landscape: A New Taxonomy and RegistryShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECSpela Vintar, Mojca Brglez, Taja Kuzman Pungeršek, et al.2026
  7. COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distributionFindings of the Association for Computational LinguisticsSeohee Yoon, Yong Suk Choi2026
  8. Component Transfer Can Exceed Full Model Performance: Investigating Post-Trained Mixture-of-ExpertsWorkshop on Generation, Evaluation and Metrics (GEM)Rabin Tiwari2026
  9. Compressing Language Models for Specialized DomainsConference of the European Chapter of the Association for Computational Linguistics (EACL)Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.2026
  10. Controllable Contamination Detection for Reliable LLM Evaluation with Statistical GuaranteesAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Zhang, Qi Liu, Siyuan Liang, et al.2026
  11. CSULoRA: Closest Safe Update Low-Rank AdaptationInternational Conference on Natural Language Processing and Artificial Intelligence for Cyber SecurityOleksandr Marchenko, Adelaide Danilov, Aria Nourbakhsh, et al.2026
  12. Decoupling Generalization and Adaptation in Meta-Learning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitin Vetcha, Binqian Xu, Dianbo Liu2026
  13. Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMsFindings of the Association for Computational LinguisticsYusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu, et al.2026
  14. Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark SuiteLanguage Resources and Evaluation Conference (LREC)Klaudia Thellmann, Bernhard Stadler, Michael Färber2026
  15. Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.2026
  16. 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
  17. Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Luoyang Sun, Guangyan Li, Cheng Deng, et al.2026
  18. EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingrun Xing, Zheng Liu, Shitao Xiao, et al.2026
  19. 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
  20. EvoMD-LLM: Learning the Language of Species Evolution in Reactive Molecular DynamicsFindings of the Association for Computational LinguisticsZhichen Tang, Zhengzheng Dang, Yulin Chen, et al.2026
  21. 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
  22. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
  23. GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer SelectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Kai Yao, Zhenghan Song, Kaixin Wu, et al.2026
  24. GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Ziquan Liu, Ioannis Patras2026
  25. GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.2026
  26. GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuningFindings of the Association for Computational LinguisticsKaiyuan Tian, Linbo Qiao, Yu Tang, et al.2026
  27. Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language ModelsFindings of the Association for Computational LinguisticsAryan Roy, Zekun Wang, Christopher J. MacLellan2026
  28. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  29. How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Tongyao Zhu, Qian Liu, Chang Ma, et al.2026
  30. ImF: Embedding an Implicit Fingerprint in Your Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaxuan Wu, Wanli Peng, Hang fu, et al.2026
  31. Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.2026
  32. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM EvaluationFindings of the Association for Computational LinguisticsZhichao Shi, Xuhui Jiang, Chengjin Xu, et al.2026
  33. KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiao Zhang, Qianru Meng, Yongjian Chen, et al.2026
  34. LaCo: Layer-wise Compensation for Pruned Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingen Liu, Fan Wu, Panxuyan, et al.2026
  35. LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation RewardingConference of the European Chapter of the Association for Computational Linguistics (EACL)Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen2026
  36. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
  37. Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cuong Pham, Anh Dung Hoang, Cuong C. Nguyen, et al.2026
  38. LBLLM: Lightweight Binarization of Large Language Models via Three-Stage DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Siqing Song, Chuang Wang, Yong Lang, et al.2026
  39. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
  40. LEPO: Latent Reasoning Policy Optimization for Large Language ModelsFindings of the Association for Computational LinguisticsYuyan Zhou, Jiarui Yu, Hande Dong, et al.2026
  41. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesWorkshop on Trustworthy NLPSubramanyam Sahoo, Vinija Jain, Aman Chadha, et al.2026
  42. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge PointsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuemiao Zhang, Can Ren, Chengying Tu, et al.2026
  43. LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape ElevationFindings of the Association for Computational LinguisticsJin Zhong, Jinglin Liang, Tongtong Yang, et al.2026
  44. Localized Low-Rank Adaptation within Clustered Parameter SubspacesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xiong, Yihe Liu, Xianming Hu, et al.2026
  45. Map-of-Actions: Deliberate Reasoning over Multi-Labeled GraphsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraWuguang Ni, Kai Yang2026
  46. MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXingchen Xiao, Heyan Huang, Runheng Liu, et al.2026
  47. MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Mahdi Salmani-Zarchi, Zahra Rahimi, Heshaam Faili, et al.2026
  48. Memory Dial: A Training Framework for Controllable Memorization in Language ModelsFindings of the Association for Computational LinguisticsXiangbo Zhang, Ali Emami2026
  49. Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPOAnnual Meeting of the Association for Computational Linguistics (ACL)Jinquan Zheng, Jia Yuan, Jiacheng Yao, et al.2026
  50. ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource SettingsFindings of the Association for Computational LinguisticsJiaxing Liu, Qi Qi, Haifeng Sun, et al.2026
  51. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
  52. Offline Preference Optimization via Maximum Marginal Likelihood EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Saeed Najafi, Alona Fyshe2026
  53. On the Editability of Delta Parameters in Post-Trained ModelsFindings of the Association for Computational LinguisticsQiaoyu Tang, Le Yu, Bowen Yu, et al.2026
  54. 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
  55. PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shresth Mishra2026
  56. Position Encoding with Random Float Sampling Enhances Length Generalization of TransformersFindings of the Association for Computational LinguisticsAtsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo2026
  57. Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule InterpolationAnnual Meeting of the Association for Computational Linguistics (ACL)Huachen Qi, Ruiyu Zhuo, Bowen Shi, et al.2026
  58. RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval AugmentationFindings of the Association for Computational LinguisticsRan Xu, Yuchen Zhuang, Yue Yu, et al.2026
  59. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
  60. ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyao Yang, Chen Qian, Wen Shen, et al.2026
  61. Rethinking Data Mixing from the Perspective of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjian Xu, Tianze Sun, Changwei Xu, et al.2026
  62. River-LLM: Large Language Model Seamless Exit Based on KV ShareAnnual Meeting of the Association for Computational Linguistics (ACL)Yingtao Shen, An Zou2026
  63. SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive LearningFindings of the Association for Computational LinguisticsBoyan Shi, Wei Chen, Shuyuan Zhao, et al.2026
  64. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
  65. SCOPE: Boosting LLM Efficiency with Scoped Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingguo Qi, Hongyang Chen, Zhao Li2026
  66. SCVQ: Sparse-Compensated Vector Quantization for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Zhou, Yujun Diao, Zicheng Kong, et al.2026
  67. SDUs DAISY: A Benchmark for Danish CulturearXiv:2601.19930Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.2026
  68. SELECting over Tokens: Curating Pre-training Data at Scale via Token ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Tong, Weidong Zhang, Jiaang Li, et al.2026
  69. SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM SystemConference of the European Chapter of the Association for Computational Linguistics (EACL)Zijie Wang, Xinyu Yan, Che Wang, et al.2026
  70. SLIM: Stealthy Low-Coverage Black-Box Watermarking via Latent-Space Confusion ZonesFindings of the Association for Computational LinguisticsHengyu WU, Yang Cao2026
  71. Specialization through Collaboration: Understanding Expert Interaction in Mixture-of-Expert Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuanbo Tang, Naifan Zhang, Yan Tang, et al.2026
  72. SPQ: An Ensemble Technique for Large Language Model CompressionLanguage Resources and Evaluation Conference (LREC)Jiamin Yao, Eren Gultepe2026
  73. Suppressing Final Layer Hidden State Jumps in Transformer PretrainingFindings of the Association for Computational LinguisticsKeigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.2026
  74. TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Mu, Haiyang Wang, Li Ni, et al.2026
  75. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Siyu Zhao2026
  76. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
  77. Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language ModelsFindings of the Association for Computational LinguisticsChenxi Zhou, Pengfei Cao, Jiang Li, et al.2026
  78. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  79. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026
  80. Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongho Yoon, Chanhee Park, Yongchan Chun, et al.2026
  81. TrigReason: Trigger-Based Collaboration between Small and Large Reasoning ModelsFindings of the Association for Computational LinguisticsYi Zhao, Yajuan Peng, Cam-Tu Nguyen, et al.2026
  82. Understanding the Prompt SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Chenhui Chu2026
  83. Union-of-Experts: Neurons in Mixture-of-Experts are Secretly RoutersAnnual Meeting of the Association for Computational Linguistics (ACL)Songhao Wu, Ang Lv, Ruobing Xie, et al.2026
  84. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource AlignmentFindings of the Association for Computational LinguisticsJiu Sha, Mengxiao Zhu2026
  85. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  86. Weight Tying Biases Token Embeddings Towards the Output SpaceFindings of the Association for Computational LinguisticsAntonio Lopardo, Avyukth Harish, Catherine Arnett, et al.2026
  87. WeightLoRA: Keep Only Necessary AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.2026
  88. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  89. When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question AnsweringFindings of the Association for Computational LinguisticsHugh Mee Wong, Rick Nouwen, Albert Gatt2026
  90. Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Shi, Zhuowen Han, Simon Ostermann, et al.2026
  91. Survey on Commonsense Question Answering (常识问答研究综述)Journal of SoftwareYifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.2023

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