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Who cites Carissa Schoenick

2,131 citations of their works from 2,111 papers of our library (of the 149,439 whose bibliographies we read) · 532 with a page here, the most cited first · page 5 of 6 · 401–500 · ← Carissa Schoenick

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  1. Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chenyang Shao, Sijian Ren, Fengli Xu, et al.2026 · 1 citation
  2. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
  3. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
  4. From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for TibetanAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Yang, Leiyu Pan, Bojian Xiong, et al.2026 · 1 citation
  5. From Local to Global: Revisiting Structured Pruning Paradigms for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyan Wang, Enmao Diao, Qi Le, et al.2026 · 1 citation
  6. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
  7. Iterative Structured Pruning for Large Language Models with Multi-Domain CalibrationConference of the European Chapter of the Association for Computational Linguistics (EACL)Guangxin Wu, Hao Zhang, Zhang Zhibin, et al.2026 · 1 citation
  8. KDW at SemEval-2026 Task 12: Logic-Driven Distillation with Knowledge Graphs for Efficient Abductive ReasoningInternational Workshop on Semantic Evaluation (SemEval)Sihan Zhu, Hongjie Wu, Xinyan Xu2026 · 1 citation
  9. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportarXiv:2606.03773Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.2026 · 1 citation
  10. Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order InteractionsFindings of the Association for Computational LinguisticsWenhao Zhang, Lin Mu, Li Ni, et al.2026 · 1 citation
  11. Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and DatasetsFindings of the Association for Computational LinguisticsHanna Yukhymenko, Anton Alexandrov, Martin Vechev2026 · 1 citation
  12. RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation SteeringFindings of the Association for Computational LinguisticsWencheng Ye, Xiaoyang Yuan, Yi Bin, et al.2026 · 1 citation
  13. RotBench: Evaluating Multi-modal Large Language Models on Identifying Image RotationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, et al.2026 · 1 citation
  14. SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongin Yun, Jaeri Lee, Jongjin Kim, et al.2026 · 1 citation
  15. TELL-TALE: Task Efficient LLMs with Task Aware Layer EliminationFindings of the Association for Computational LinguisticsOmar Naim, Krish Sharma, Niyar R Barman, et al.2026 · 1 citation
  16. The Role of Mixed-Language Documents for Multilingual Large Language Model PretrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiandong Shao, Raphael Tang, Crystina Zhang, et al.2026 · 1 citation
  17. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
  18. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat FormatsAnnual Meeting of the Association for Computational Linguistics (ACL)Pengxiang Zhao, Hui-Ling Zhen, Xing Li, et al.2026 · 1 citation
  19. VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer SelectionFindings of the Association for Computational LinguisticsJames Petullo, Sonny George, Dylan Cashman, et al.2026 · 1 citation
  20. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
  21. Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining DatasetsarXiv:2512.18834Sultan Alrashed, Francesco Orabona2025 · 1 citation
  22. Aquila2 Technical ReportarXiv:2408.07410Bo-Wen Zhang, Liangdong Wang, Jijie Li, et al.2024 · 1 citation
  23. Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible DataConference on Computational Natural Language Learning (CoNLL)Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.2024 · 1 citation
  24. QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)Journal of SoftwareShaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.2023 · 1 citation
  25. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
  26. ACBQ: Adaptive Cross-Block Quantization of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hailing Wang, Jianglin Lu, Yitian Zhang, et al.2026
  27. Activation Decomposition and Steering for LLM Backdoor RemediationAnnual Meeting of the Association for Computational Linguistics (ACL)Lingfeng Zhong, Qiongkai Xu, Usman Naseem2026
  28. 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
  29. Advancing Reasoning in Diffusion Language Models with Denoising Process RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoan Xie, Lingjing Kong, Xiangchen Song, et al.2026
  30. Agentic Oversight via Dialectic ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Federico Ranaldi2026
  31. AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Chen Chen, et al.2026
  32. An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice QuestionnairesConference of the European Chapter of the Association for Computational Linguistics (EACL)Alisea Stroligo, Anna Shamray, Julian Schelb, et al.2026
  33. Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mafizur Rahman, Lijun Qian2026
  34. 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
  35. Bears, all bears, and some bears. Language Constraints on Language Models' Inductive InferencesFindings of the Association for Computational LinguisticsSriram Padmanabhan, Siyuan Song, Kanishka Misra2026
  36. 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
  37. 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
  38. Biomed-Enriched: Data-Efficient Biomedical Pretraining via Paragraph-Level AnnotationFindings of the Association for Computational LinguisticsRian Touchent, Nathan Godey, Éric Villemonte de la Clergerie2026
  39. 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
  40. 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
  41. Common Objects Out of Context (COOCo): Investigating Multimodal Context and Semantic Scene Violations in Referential CommunicationTransactions of the Association for Computational Linguistics (TACL)Filippo Merlo, Ece Takmaz, Wenkai Chen, et al.2026
  42. COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distributionFindings of the Association for Computational LinguisticsSeohee Yoon, Yong Suk Choi2026
  43. Component Transfer Can Exceed Full Model Performance: Investigating Post-Trained Mixture-of-ExpertsWorkshop on Generation, Evaluation and Metrics (GEM)Rabin Tiwari2026
  44. 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
  45. 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
  46. Cross-Modal Taxonomic Generalization in (Vision-) Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.2026
  47. 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
  48. 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
  49. 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
  50. Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark SuiteLanguage Resources and Evaluation Conference (LREC)Klaudia Thellmann, Bernhard Stadler, Michael Färber2026
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
  59. 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
  60. GeoRC: A Benchmark for Geolocation Reasoning ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Talreja, Joshua Diao, Jim James, et al.2026
  61. 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
  62. 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
  63. 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
  64. Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language ModelsFindings of the Association for Computational LinguisticsAryan Roy, Zekun Wang, Christopher J. MacLellan2026
  65. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  66. 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
  67. How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.2026
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
  75. 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
  76. 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
  77. 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
  78. LEPO: Latent Reasoning Policy Optimization for Large Language ModelsFindings of the Association for Computational LinguisticsYuyan Zhou, Jiarui Yu, Hande Dong, et al.2026
  79. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesWorkshop on Trustworthy NLPSubramanyam Sahoo, Vinija Jain, Aman Chadha, et al.2026
  80. 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
  81. 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
  82. 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
  83. Map-of-Actions: Deliberate Reasoning over Multi-Labeled GraphsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraWuguang Ni, Kai Yang2026
  84. MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXingchen Xiao, Heyan Huang, Runheng Liu, et al.2026
  85. 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
  86. Memory Dial: A Training Framework for Controllable Memorization in Language ModelsFindings of the Association for Computational LinguisticsXiangbo Zhang, Ali Emami2026
  87. 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
  88. 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
  89. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
  90. Offline Preference Optimization via Maximum Marginal Likelihood EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Saeed Najafi, Alona Fyshe2026
  91. On the Editability of Delta Parameters in Post-Trained ModelsFindings of the Association for Computational LinguisticsQiaoyu Tang, Le Yu, Bowen Yu, et al.2026
  92. 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
  93. PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shresth Mishra2026
  94. Position Encoding with Random Float Sampling Enhances Length Generalization of TransformersFindings of the Association for Computational LinguisticsAtsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo2026
  95. 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
  96. 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
  97. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
  98. 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
  99. 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
  100. River-LLM: Large Language Model Seamless Exit Based on KV ShareAnnual Meeting of the Association for Computational Linguistics (ACL)Yingtao Shen, An Zou2026

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