Papers
Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
Chengwen Qi, Ren Ma, Bowen Li et al.
Track-On: Transformer-based Online Point Tracking with Memory
Görkay Aydemir, Xiongyi Cai, Weidi Xie et al.
High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation
Ziye Wang, Yiran Qin, Lin Zeng et al.
PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark
Mingquan Feng, Yixin Huang, Yizhou Liu et al.
SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
Mingquan Feng, Yixin Huang, Weixin Liao et al.
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Tianxin Huang, Zhiwen Yan, Yuyang Zhao et al.
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
Stathis Megas, Daniel G. Chen, Krzysztof Polanski et al.
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
Feilong Tang, Zile Huang, Chengzhi Liu et al.
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
Shengda Fan, Xin Cong, Yuepeng Fu et al.
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
Guangtao Lyu, Chenghao Xu, Jiexi Yan et al.
Accelerating Diffusion Transformers with Token-wise Feature Caching
Chang Zou, Xuyang Liu, Ting Liu et al.
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Peter Lippmann, Gerrit Gerhartz, Roman Remme et al.
Your Weak LLM is Secretly a Strong Teacher for Alignment
Leitian Tao, Yixuan Li
Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
Ariel Elnekave, Yair Weiss
Deep Linear Probe Generators for Weight Space Learning
Jonathan Kahana, Eliahu Horwitz, Imri Shuval et al.
Unsupervised Model Tree Heritage Recovery
Eliahu Horwitz, Asaf Shul, Yedid Hoshen
Adaptive Retention & Correction: Test-Time Training for Continual Learning
Haoran Chen, Micah Goldblum, Zuxuan Wu et al.
Understanding the Stability-based Generalization of Personalized Federated Learning
Yingqi Liu, Qinglun Li, Jie Tan et al.
Retrieval Head Mechanistically Explains Long-Context Factuality
Wenhao Wu, Yizhong Wang, Guangxuan Xiao et al.
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish et al.
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Yumeng Li, William H. Beluch, Margret Keuper et al.
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori, IL MIN KIM, Guanghui Wang
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
Xu-Hui Liu, Yali Du, Jun Wang et al.
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
Chaodong Xiao, Minghan Li, Zhengqiang ZHANG et al.
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao, Masatoshi Uehara, Gabriele Scalia et al.