Liu, Dong, Lu, Diao, Belcak, Liu, Chen, Yin, Wang, Cheng, Choi, Kautz, Molchanov: GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization https://arxiv.org/abs/2601.05242 https://arxiv.org/pdf/2601.05242 https://arxiv.org/html/2601.05242

Wang, Zhang, Zhang, Hao, Jia, Lv, Mao, Lyu, Zeng, Xu, Pang: RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation https://arxiv.org/abs/2601.05241 https://arxiv.org/pdf/2601.05241 https://arxiv.org/html/2601.05241

Ilmo Sung: Robust Reasoning as a Symmetry-Protected Topological Phase https://arxiv.org/abs/2601.05240 https://arxiv.org/pdf/2601.05240 https://arxiv.org/html/2601.05240

Maja Waldron: CAOS: Conformal Aggregation of One-Shot Predictors https://arxiv.org/abs/2601.05219 https://arxiv.org/pdf/2601.05219 https://arxiv.org/html/2601.05219

William Rudman, Michal Golovanevsky, Dana Arad, Yonatan Belinkov, Ritambhara Singh, Carsten Eickhoff, Kyle Mahowald: Mechanisms of Prompt-Induced Hallucination in Vision-Language Models https://arxiv.org/abs/2601.05201 https://arxiv.org/pdf/2601.05201 https://arxiv.org/html/2601.05201

Zhao, Zhong, Wang, Wen, Jin, Liang, Wan, Wu: FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts https://arxiv.org/abs/2601.05174 https://arxiv.org/pdf/2601.05174 https://arxiv.org/html/2601.05174

Haoyu Zhao, Akide Liu, Zeyu Zhang, Weijie Wang, Feng Chen, Ruihan Zhu, Gholamreza Haffari, Bohan Zhuang: CoV: Chain-of-View Prompting for Spatial Reasoning https://arxiv.org/abs/2601.05172 https://arxiv.org/pdf/2601.05172 https://arxiv.org/html/2601.05172

Chengsong Huang, Tong Zheng, Langlin Huang, Jinyuan Li, Haolin Liu, Jiaxin Huang: RelayLLM: Efficient Reasoning via Collaborative Decoding https://arxiv.org/abs/2601.05167 https://arxiv.org/pdf/2601.05167 https://arxiv.org/html/2601.05167

Liu, Yang, Fang, Jia, Tang, Su, Peng, Yan, Zou, Hu: Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering https://arxiv.org/abs/2601.05159 https://arxiv.org/pdf/2601.05159 https://arxiv.org/html/2601.05159

Timofey Tomashevskiy: Safe Continual Reinforcement Learning Methods for Nonstationary Environments. Towards a Survey of the State of the Art https://arxiv.org/abs/2601.05152 https://arxiv.org/pdf/2601.05152 https://arxiv.org/html/2601.05152

Maximilian Alber, et al.: Atlas 2 -- Foundation models for clinical deployment https://arxiv.org/abs/2601.05148 https://arxiv.org/pdf/2601.05148 https://arxiv.org/html/2601.05148

Ignacio de Rodrigo, Alvaro J. Lopez-Lopez, Jaime Boal: VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Docum... https://arxiv.org/abs/2601.05125 https://arxiv.org/pdf/2601.05125 https://arxiv.org/html/2601.05125

Runyang You, Hongru Cai, Caiqi Zhang, Qiancheng Xu, Meng Liu, Tiezheng Yu, Yongqi Li, Wenjie Li: Agent-as-a-Judge https://arxiv.org/abs/2601.05111 https://arxiv.org/pdf/2601.05111 https://arxiv.org/html/2601.05111

Aashi Garg, Aneshya Das, Arshi Arya, Anushka Goyal, Aditi: Code-Mix Sentiment Analysis on Hinglish Tweets https://arxiv.org/abs/2601.05091 https://arxiv.org/pdf/2601.05091 https://arxiv.org/html/2601.05091

Niloufar Alavi, Swati Shah, Rezvan Alamian, Stefan Goetz: Driver-Intention Prediction with Deep Learning: Real-Time Brain-to-Vehicle Communication https://arxiv.org/abs/2601.05084 https://arxiv.org/pdf/2601.05084 https://arxiv.org/html/2601.05084

Kirby, Boulch, Xu, Yin, Puy, Zablocki, Bursuc, Gidaris, Marlet, Bartoccioni, Cao, Samet, VU, Cord: Driving on Registers https://arxiv.org/abs/2601.05083 https://arxiv.org/pdf/2601.05083 https://arxiv.org/html/2601.05083

Gorjan Radevski, Kiril Gashteovski, Giwon Hong, Carolin Lawrence, Goran Glava\v{s}: Compositional Steering of Large Language Models with Steering Tokens https://arxiv.org/abs/2601.05062 https://arxiv.org/pdf/2601.05062 https://arxiv.org/html/2601.05062

Xiaoyu Ma, David Patterson: Challenges and Research Directions for Large Language Model Inference Hardware https://arxiv.org/abs/2601.05047 https://arxiv.org/pdf/2601.05047 https://arxiv.org/html/2601.05047

Jianbo Li, Yi Jiang, Sendong Zhao, Bairui Hu, Haochun Wang, Bing Qin: ArcAligner: Adaptive Recursive Aligner for Compressed Context Embeddings in RAG https://arxiv.org/abs/2601.05038 https://arxiv.org/pdf/2601.05038 https://arxiv.org/html/2601.05038

Milan Liepelt, Julien Baglio: Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs https://arxiv.org/abs/2601.05036 https://arxiv.org/pdf/2601.05036 https://arxiv.org/html/2601.05036

Yueqing Hu, Xinyang Peng, Shuting Peng, Hanqi Wang, Tianhong Wang: H\'an D\=an Xu\'e B\`u (Mimicry) or Q\=ing Ch\=u Y\'u L\'an (Mastery)? A Cognitive Perspective on Reasoning Distillation in ... https://arxiv.org/abs/2601.05019 https://arxiv.org/pdf/2601.05019 https://arxiv.org/html/2601.05019

Xiaopeng Luo, Zexi Tan, Zhuowei Wang: HMVI: Unifying Heterogeneous Attributes with Natural Neighbors for Missing Value Inference https://arxiv.org/abs/2601.05017 https://arxiv.org/pdf/2601.05017 https://arxiv.org/html/2601.05017

Jin Gao, Saichandu Juluri: From Idea to Co-Creation: A Planner-Actor-Critic Framework for Agent Augmented 3D Modeling https://arxiv.org/abs/2601.05016 https://arxiv.org/pdf/2601.05016 https://arxiv.org/html/2601.05016

Aleksandar Fontana, Marco Simoni, Giulio Rossolini, Andrea Saracino, Paolo Mori: On the Hidden Objective Biases of Group-based Reinforcement Learning https://arxiv.org/abs/2601.05002 https://arxiv.org/pdf/2601.05002 https://arxiv.org/html/2601.05002

Johannes A. Gaus, Winfried Ilg, Daniel Haeufle: When to Act: Calibrated Confidence for Reliable Human Intention Prediction in Assistive Robotics https://arxiv.org/abs/2601.04982 https://arxiv.org/pdf/2601.04982 https://arxiv.org/html/2601.04982

James Hinns, Sofie Goethals, Stephan Van der Veeken, Theodoros Evgeniou, David Martens: On the Definition and Detection of Cherry-Picking in Counterfactual Explanations https://arxiv.org/abs/2601.04977 https://arxiv.org/pdf/2601.04977 https://arxiv.org/html/2601.04977

Yuting Liu, Jian Guan, Jia-Nan Li, Wei Wu, Jiang-Ming Yang, Jianzhe Zhao, Guibing Guo: Text as a Universal Interface for Transferable Personalization https://arxiv.org/abs/2601.04963 https://arxiv.org/pdf/2601.04963 https://arxiv.org/html/2601.04963

Zeng, Liu, Ding, Hou, Wang, Song, Ning, Tu, Zhang, Cai, He, Liu: Precision over Diversity: High-Precision Reward Generalizes to Robust Instruction Following https://arxiv.org/abs/2601.04954 https://arxiv.org/pdf/2601.04954 https://arxiv.org/html/2601.04954

Subhadeep Roy, Gagan Bhatia, Steffen Eger: Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics https://arxiv.org/abs/2601.04946 https://arxiv.org/pdf/2601.04946 https://arxiv.org/html/2601.04946

Arthur Nijdam, Harri K\"ahk\"onen, Valtteri Niemi, Paul Stankovski Wagner, Sara Ramezanian: CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs https://arxiv.org/abs/2601.04940 https://arxiv.org/pdf/2601.04940 https://arxiv.org/html/2601.04940

Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang: Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective https://arxiv.org/abs/2601.04918 https://arxiv.org/pdf/2601.04918 https://arxiv.org/html/2601.04918

Jingzhi Gong, Giovanni Pinna, Yixin Bian, Jie M. Zhang: Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests https://arxiv.org/abs/2601.04886 https://arxiv.org/pdf/2601.04886 https://arxiv.org/html/2601.04886

Ao Sun, Xiaoyu Wang, Zhe Tan, Yu Li, Jiachen Zhu, Shu Su, Yuheng Jia: CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters https://arxiv.org/abs/2601.04885 https://arxiv.org/pdf/2601.04885 https://arxiv.org/html/2601.04885

Ferrini, Lachi, Longa, Lepri, Akiyoshi, Passerini, Liu, Jaeger: Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution https://arxiv.org/abs/2601.04855 https://arxiv.org/pdf/2601.04855 https://arxiv.org/html/2601.04855

Oshri Naparstek: Token Maturation: Autoregressive Language Generation via Continuous Token Dynamics https://arxiv.org/abs/2601.04854 https://arxiv.org/pdf/2601.04854 https://arxiv.org/html/2601.04854

Oscar Llorente, Jaime Boal, Eugenio F. S\'anchez-\'Ubeda, Antonio Diaz-Cano, Miguel Familiar: Parallelizing Node-Level Explainability in Graph Neural Networks https://arxiv.org/abs/2601.04807 https://arxiv.org/pdf/2601.04807 https://arxiv.org/html/2601.04807

Junhyuk Choi, Jeongyoun Kwon, Heeju Kim, Haeun Cho, Hayeong Jung, Sehee Min, Bugeun Kim: Belief in Authority: Impact of Authority in Multi-Agent Evaluation Framework https://arxiv.org/abs/2601.04790 https://arxiv.org/pdf/2601.04790 https://arxiv.org/html/2601.04790

Xinyue Peng, Yanming Liu, Yihan Cang, Yuwei Zhang, Xinyi Wang, Songhang Deng, Jiannan Cao: NC2C: Automated Convexification of Generic Non-Convex Optimization Problems https://arxiv.org/abs/2601.04789 https://arxiv.org/pdf/2601.04789 https://arxiv.org/html/2601.04789

Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An: AgentOCR: Reimagining Agent History via Optical Self-Compression https://arxiv.org/abs/2601.04786 https://arxiv.org/pdf/2601.04786 https://arxiv.org/html/2601.04786

Xihe Qiu, Yang Dai, Xiaoyu Tan, Sijia Li, Fenghao Sun, Lu Gan, Liang Liu: SRU-Pix2Pix: A Fusion-Driven Generator Network for Medical Image Translation with Few-Shot Learning https://arxiv.org/abs/2601.04785 https://arxiv.org/pdf/2601.04785 https://arxiv.org/html/2601.04785

Tobia Poppi, et al.: CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models https://arxiv.org/abs/2601.04778 https://arxiv.org/pdf/2601.04778 https://arxiv.org/html/2601.04778

Shurong Zheng, Yousong Zhu, Hongyin Zhao, Fan Yang, Yufei Zhan, Ming Tang, Jinqiao Wang: GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models https://arxiv.org/abs/2601.04777 https://arxiv.org/pdf/2601.04777 https://arxiv.org/html/2601.04777

Santiago Acevedo, Alessandro Laio, Marco Baroni: Differential syntactic and semantic encoding in LLMs https://arxiv.org/abs/2601.04765 https://arxiv.org/pdf/2601.04765 https://arxiv.org/html/2601.04765

Rupsa Rani Mishra, D. Chandrasekhar Rao, Ajaya Kumar Tripathy: Smart IoT-Based Wearable Device for Detection and Monitoring of Common Cow Diseases Using a Novel Machine Learning Technique https://arxiv.org/abs/2601.04761 https://arxiv.org/pdf/2601.04761 https://arxiv.org/html/2601.04761

Yehoon Jang, Chaewon Lee, Hyun-seok Min, Sungchul Choi: PILOT-Bench: A Benchmark for Legal Reasoning in the Patent Domain with IRAC-Aligned Classification Tasks https://arxiv.org/abs/2601.04758 https://arxiv.org/pdf/2601.04758 https://arxiv.org/html/2601.04758

Xingyuan Li, Mengyue Wu: Semi-Supervised Diseased Detection from Speech Dialogues with Multi-Level Data Modeling https://arxiv.org/abs/2601.04744 https://arxiv.org/pdf/2601.04744 https://arxiv.org/html/2601.04744

Kota Nakamura, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai: Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams https://arxiv.org/abs/2601.04741 https://arxiv.org/pdf/2601.04741 https://arxiv.org/html/2601.04741

Huawei Zheng, Xinqi Jiang, Sen Yang, Shouling Ji, Yingcai Wu, Dazhen Deng: RiskAtlas: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation https://arxiv.org/abs/2601.04740 https://arxiv.org/pdf/2601.04740 https://arxiv.org/html/2601.04740

Dominik Freinberger, Philipp Moser: The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment https://arxiv.org/abs/2601.04732 https://arxiv.org/pdf/2601.04732 https://arxiv.org/html/2601.04732

Elizabeth Donoway, Hailey Joren, Fabien Roger, Jan Leike: Excess Description Length of Learning Generalizable Predictors https://arxiv.org/abs/2601.04728 https://arxiv.org/pdf/2601.04728 https://arxiv.org/html/2601.04728