Papers
8,127 papers found
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
Guangzhi Xiong, Eric Xie, Corey Williams et al.
Toward Robust Non-Transferable Learning: A Survey and Benchmark
Ziming Hong, Yongli Xiang, Tongliang Liu
Towards a Bipartisan Understanding of Peace and Vicarious Interactions
Arka Dutta, Syed Mohammad Sualeh Ali, Usman Naseem et al.
Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification
Xulin Li, Yan Lu, Bin Liu et al.
Towards a Practical Tool for Music Composition: Using Constraint Programming to Model Chord Progressions and Modulations
Damien Sprockeels, Peter Van Roy
Towards a Unified View of Social Laws with Instantaneous Actions
Alexander Tuisov, Evgeny Mishlyakov, Alexander Shleyfman et al.
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Hao Zhang, Mingyue Cheng, Zhiding Liu et al.
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
Han Zhang, Yan Wang, Guanfeng Liu et al.
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
Chenxi Liu, Shaowen Zhou, Qianxiong Xu et al.
Towards Debiased Generalized Category Discovery
Pengcheng Guo, Yonghong Song, Boyu Wang
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach
Yang Yang, Xixian Wu, Qing-Yuan Jiang
Towards Fairness with Limited Demographics via Disentangled Learning
Zichong Wang, Anqi Wu, Nuno Moniz et al.
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
Jiaqi Liu, Jiaxu Cui, Shiang Sun et al.
Towards Improved Risk Bounds for Transductive Learning
Bowei Zhu, Shaojie Li, Yong Liu
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
Yan Zhang, Lechao Cheng, Yaxiong Wang et al.
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding
Jiangfeng Sun, Kaiwen Xue, Qika Lin et al.
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection
Yanchao Bi, Yang Ning, Xiushan Nie et al.
Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition
Hangyu Li, Yixin Zhang, Jiangchao Yao et al.
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
Xuesong Nie, Haoyuan Jin, Vijayakumar Bhagavatula et al.
Towards Robust Incremental Learning Under Ambiguous Supervision
Rui Wang, Mingxuan Xia, Haobo Wang et al.
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs
Sai Krishna Mendu, Harish Yenala, Aditi Gulati et al.
Towards the 30 by 30 Kunming-Montreal Global Biodiversity Framework Target: Optimising Graph Connectivity in Constraint-Based Spatial Planning
Sulian Le Bozec-Chiffoleau, Dimitri Justeau-Allaire, Xavier Lorca et al.
Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs
Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica et al.
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection
Weichao Cai, Weiliang Huang, Yunkang Cao et al.