Papers
TRACE: Traversal Retrieval-Augmented Chain of Evidence for Document Understanding
Liqi He, Zuchao Li, Hao Huang et al.
Tracing Logit Trajectories Across Layer Depth: Dataset-Level Explainability for Language Models
Jeesu Jung, Sangkeun Jung
Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical Adaptation
Xin Zhao, Naoki Yoshinaga, Yuma Tsuta et al.
Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
Tan Pan, Yixuan Sun, Chen Jiang et al.
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
Yu Li, Xiaoran Shang, Qizhi Pei et al.
TrackGS: Optimizing COLMAP-Free 3D Gaussian Splatting with Global Track Constraints
Dongbo Shi, Shen Cao, Lubin Fan et al.
Tracking and Segmenting Anything in Any Modality
Tianlu Zhang, Qiang Zhang, Guiguang Ding et al.
Tracking Autism Stigma in Italian Newspapers: A Longitudinal Analysis of Media Discourse (2016–2025)
Ginevra Martinelli, Chiara Barattieri di San Pietro, Daniela Ovadia et al.
Tracking the evolution of LLM capabilities for Belarusian with OpenAI Evals
Vladislav Poritski, Oksana Volchek, Maksim Aparovich et al.
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
Yiyang Feng, Zeming Chen, Haotian Wu et al.
Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
Jianbo Ma, Hui Luo, Qi Chen et al.
Tractable Sharpness-Aware Learning of Probabilistic Circuits
Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M P et al.
Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence
Václav Kůla, Qipeng Kuang, Yuyi Wang et al.
TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization
Sitong Wu, Haoru Tan, Xichen Zhang et al.
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
Weixiang Zhao, Xingyu Sui, Jiahe Guo et al.
Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems
Xingchen Zou, Yuhao Yang, Zheng Chen et al.
Traffic Signal Plans Explorer: A General Framework for Visualising Traffic Evolution
Francesco Doria, Francesco Percassi, Marco Maratea et al.
Trainable EEG Interpolation and Structure-Sharing Dual-Path Encoders for Brain-Assisted Target Speaker Extraction
Zhao Lv, Haoran Zhou, Ying Chen et al.
Trainable, Multiword-aware Linguistic Tokenization Using Modern Neural Networks
Clara Boesenberg, Kilian Evang
Training and Inference Within 1 Second – Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring
Tianyu Xin, Jin-Liang Xiao, Zeyu Xia et al.
Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers
Jingya Wang, Xin Deng, Wenjie Wei et al.
Training-free Boosting for Few-shot Segmentation via Generalizing Semantic Mining
Kangyu Xiao, Zilei Wang, Yixin Zhang et al.
Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models
Masayuki Kawarada, Kosuke Yamada, Antonio Tejero-de-Pablos et al.
Training-free Detection of Text-to-video Generations via Over-coherence
Jonathan Brokman, Oren Rachmil, Omer Hofman et al.