Papers
TarPro: Targeted Protection Against Malicious Image Editing
Kaixin Shen, Ruijie Quan, Jiaxu Miao et al.
TartanMaroon: Multi-Agent Academic Advising with Iterative Negotiation and Transparent Collaboration
Peidi Dong, Houda Bouamor, Yunze Xiao et al.
TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson et al.
TASE: Token Awareness and Structured Evaluation for Multilingual Language Models
Chenzhuo Zhao, Xinda Wang, Yue Huang et al.
Tashkees-AI at AbjadMed 2026: Flat vs. Hierarchical Classification for Fine-Grained Arabic Medical QA
Fatimah Mohamed Emad Eldin
Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints
Kei Moriyama, Kouta Nakayama, Yukino Baba
Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement
Lian He, Meng Liu, Qilang Ye et al.
Task-aware Block Pruning with Output Distribution Signals for Large Language Models
Song-ha Jo, Youngrok Ko, Sang-goo Lee et al.
Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios
Hui Liu, Bin Zou, Kecheng Chen et al.
Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation
Jingyuan Wang, Zhichun Wang, Tong Lu et al.
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao, Xinke Jiang, Qingshuai Feng et al.
Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation
Luca Hagen, Johanna P. Müller, Moritz Gmeiner et al.
Task-Level Instructions Induction for Audio Question Answering from Few Examples
Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data
Youngmin Oh, Hyung-Il Kim, Jung Uk Kim
Task-Specific Distance Correlation Matching for Few-Shot Action Recognition
Fei Long, Yao Zhang, Jiaming Lv et al.
Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties
Eunkyung Choi, Young Jin Suh, Siun Lee et al.
TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning
Maximilian von Klinski, Maximilian Schall
TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice
Gang Hu, Yating Chen, Haiyan Ding et al.
TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws
Nan Hu, Yike Wu, Jiaye Li et al.
TCoT: Trajectory Chain-of-Thoughts for Robotic Manipulation with Failure Recovery in Vision-Language-Action Model
Xiang Li, Ya-Li Li, Yuan Wang et al.
TDFlow: Agentic Workflows for Test Driven Development
Kevin Han, Siddharth Maddikayala, Tim Knappe et al.
TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
Deming Zhou, Yuetong Fang, Zhaorui Wang et al.
TDSS: Task Dynamic-Synergistic Skill Adaptation for Boosting Efficient and Scalable Multi-Task Learning in Dense Visual Prediction
Haiming Yao, Qiyu Chen, Wei Luo et al.
TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent
Xingyu Sui, Yanyan Zhao, Yulin Hu et al.