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• Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms

  Sebastian Ordyniak, Mateusz Rychlicki, Stefan Szeider

  24622-24629

  2026-03-14

• Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models

  Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima

  19907-19915

  2026-03-14

• Obtaining Calibrated Probabilities with Personalized Ranking Models

  Wonbin Kweon, SeongKu Kang, Hwanjo Yu

  4083-4091

  2022-06-28

• Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

  Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi

  22105-22113

  2024-03-24

• Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection

  Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li

  1210-1218

  2025-04-11

• Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models

  Tien Mai, Arunesh Sinha

  5141-5149

  2022-06-28

• Collaborative Enhancement of Large and Small Models for Question Answering via Dual Knowledge Transfer

  Shaofei Wang, Yunan Liu, Xiaolan Tang, Wenlong Chen

  33630-33638

  2026-03-14

• Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models

  Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding

  23696-23703

  2025-04-11

• TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training

  Houming Wu, Ling Chen

  26894-26902

  2026-03-14

• Generating Adversarial Examples for Holding Robustness of Source Code Processing Models

  Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin

  1169-1176

  2020-04-03

• DIFFA: Large Language Diffusion Models Can Listen and Understand

  Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li, Enzhi Wang, Yujie Guo, Haoqin Sun, Hui Wang, Aobo Kong, Yong Qin, Xuelong Li

  35112-35120

  2026-03-14

• Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models

  Juan Antonio Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Evangelos Milios, Axel J. Soto

  11192-11199

  2022-06-28

• MINIMAL: Mining Models for Universal Adversarial Triggers

  Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

  11330-11339

  2022-06-28

• Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning

  Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing

  11376-11384

  2022-06-28

• Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction

  Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao, Anthony Cuturrufo, Vijay S Nori, Eran Halperin, Wei Wang

  24786-24794

  2025-04-11

• Language Models Do Not Embed Numbers Continuously (Student Abstract)

  Alex Davies, Roussel Nzoyem Ngueguin, Nirav Ajmeri, Telmo de Menezes E Silva Filho

  41180-41181

  2026-03-14

• ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

  Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

  415-423

  2025-04-11

• Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models

  Abigail Swenor

  13142-13143

  2022-06-28

• Are Expressive Models Truly Necessary for Offline RL?

  Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan

  21062-21070

  2025-04-11

• Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models

  Yuzheng Tan, Yuan He, Yao Zhu, Tianlin Huo, Huanqian Yan, Hang Su, Shuxin Zhang, Guangneng Hu

  9341-9349

  2026-03-14

• First-Order Error Matters: Accurate Compensation for Quantized Large Language Models

  Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu

  28883-28891

  2026-03-14

• Object-Centric World Models for Causality-Aware Reinforcement Learning

  Yosuke Nishimoto, Takashi Matsubara

  24585-24593

  2026-03-14

• Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models

  Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn

  34941-34949

  2026-03-14

• MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation

  Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim

  2191-2199

  2023-06-26

• U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

  Ritwik Vashistha, Arya Farahi

  19956-19964

  2024-03-24