Papers
Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition
Zheng Hui, Xiaokai Wei, Yexi Jiang et al.
Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors
Haoyu Zhao, Linghao Zhuang, Xingyue Zhao et al.
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
Yi Hu, Jiaqi Gu, Ruxin Wang et al.
Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint)
Mayra Russo, Maria-Esther Vidal
Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information States
Michael Mooney, Edmond S. L. Ho
Towards Authentic Movie Dubbing with Retrieve-Augmented Director-Actor Interaction Learning
Rui Liu, Yuan Zhao, Zhenqi Jia
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint)
Zhong Li, Yuhang Wang, Matthijs van Leeuwen
Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology
Yatai Ji, Zhengqiu Zhu, Yong Zhao et al.
Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models
Wei Qian, Chenxu Zhao, Yangyi Li et al.
Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning
Jiayi Lin, Yanlin Wang, Yibiao Yang et al.
Towards Better Correctness and Efficiency in Code Generation
Yunlong Feng, Yang Xu, Xiao Xu et al.
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
Jiecheng Jiang, Jiawei Tang, Jiahao Jiang et al.
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
Yun-Shiuan Chuang, Chaitanya Kulkarni, Alec M. Chiu et al.
Towards Capable and Secure Autonomous Computer-Use Agents (Student Abstract)
Malak Mahdy, Carlos Rubio-Medrano
Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios
Jiawen Wang, Jingjing Wang, Tianyang Chen et al.
Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning
Shiyue Huang, Yuchen Su, Hongbo Liu et al.
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
Yanrui Du, Fenglei Fan, Sendong Zhao et al.
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images
Zhongyi Shui, Honglin Li, Yunlong Zhang et al.
Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications
Xuan Wang, Shuxiang Cao, Yuchen Zhuang et al.
Towards Effective Code-Integrated Reasoning
Fei Bai, Yingqian Min, Beichen Zhang et al.