Who cites Carissa Schoenick
- 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
- 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
- SCOPE: Boosting LLM Efficiency with Scoped Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingguo Qi, Hongyang Chen, Zhao Li2026
- 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
- SDUs DAISY: A Benchmark for Danish CulturearXiv:2601.19930Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.2026
- 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
- 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
- Suppressing Final Layer Hidden State Jumps in Transformer PretrainingFindings of the Association for Computational LinguisticsKeigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.2026
- 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
- Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
- 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
- The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
- 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
- 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
- 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
- TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle GraphicsFindings of the Association for Computational LinguisticsChao Wen, Jacqueline Staub, Adish Singla2026
- 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
- VIGiA: Instructional Video Guidance via Dialogue Reasoning and RetrievalFindings of the Association for Computational LinguisticsDiogo Glória-Silva, David Semedo, Joao Magalhaes2026
- Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
- Weight Tying Biases Token Embeddings Towards the Output SpaceFindings of the Association for Computational LinguisticsAntonio Lopardo, Avyukth Harish, Catherine Arnett, et al.2026
- WeightLoRA: Keep Only Necessary AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.2026
- 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
- 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
- When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and NoiseWorkshop on Advances in Language and Vision Research (ALVR)Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.2026
- 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
- 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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