Papers
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
Zhikai Zhao, Chuanbo Hua, Federico Berto et al.
Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
Linhao Huang, Xue Jiang, Zhiqiang Wang et al.
Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
Shuyu Chang, Haiping Huang, Yanjun Zhang et al.
Transferable Graph Condensation from the Causal Perspective
Huaming Du, Yijie Huang, Su Yao et al.
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
Meixia He, Peican Zhu, Le Cheng et al.
Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
Jihwan Park, Taehoon Song, Sanghyeok Lee et al.
Transferable RL for Real-World Navigation Using Semantic Segmentation and Bird’s-Eye View Abstraction
Benedikt Schlereth-Groh, Sakir Furkan Yöndem, Ramin Tavakoli Kolagari
Transfer Learning for Generalizable Automated LLM Improvement Pipeline for IVR Navigation
Vishal Sankar Ram, Jason Kushner, Manas Paldhe et al.
Transferring Causal Driving Patterns for Generalizable Traffic Simulation with Diffusion-Based Distillation
Yuhang Chen, Jie Sun, Jialin Fan et al.
Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups
Leif Van Holland, Domenic Zingsheim, Mana Takhsha et al.
Transformer with Controlled Attention for Synchronous Motion Captioning
Karim Radouane, Sylvie Ranwez, Julien Lagarde et al.
Transform-Free Feature Coding via Entropy-Constrained Vector Quantization
Qiaoxi Chen, Changsheng Gao, Li Li et al.
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
Honglei Zhang, Zhiwei Li, Haoxuan Li et al.
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
Danlu Chen, Ka Sing He, Jiahe Tian et al.
Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation
Yongshi Ye, Biao Fu, Chongxuan Huang et al.
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
Jiaming Leng, Yunying Bi, Chuan Qin et al.
TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model
Yixing Li, Ruobing Xie, Zhen Yang et al.
Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention
Wenjie Hu, Sidun Liu, Peng Qiao et al.
Transparent Networks for Multivariate Time Series
Minkyu Kim, Suan Lee, Jinho Kim
Transparent Semantic Change Detection with Dependency-Based Profiles
Bach Phan Tat, Kris Heylen, Dirk Geeraerts et al.
Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care
Yupeng Zhuo, Eddie Zhang, Xiangchen Yu et al.
TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning
Meng Chu, Yukang Chen, Haokun Gui et al.
TR-DQ: Time-Rotation Diffusion Quantization
Yihua Shao, Deyang Lin, Minxi Yan et al.