Papers
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
Nan Zhong, Haoyu Chen, Yiran Xu et al.
Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification
Xiaoyue Wang, Xin Liu
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
Junjie Huang, Jiarui Qin, Yong Yu et al.
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
Yifan Feng, Chengwu Yang, Xingliang Hou et al.
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers
Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski et al.
Beyond Guardrails: Advanced Safety for Large Language Models — Monolingual, Multilingual and Multimodal Frontiers
Somnath Banerjee, Rima Hazra, Animesh Mukherjee
Beyond Guardrails: Advanced Safety for Large Language Models — Monolingual, Multilingual and Multimodal Frontiers
Somnath Banerjee, Rima Hazra, Animesh Mukherjee
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning
Kepu Zhang, Haoyue Yang, Xu Tang et al.
Beyond Hate Speech: NLP’s Challenges and Opportunities in Uncovering Dehumanizing Language
Hamidreza Saffari, Mohammadamin Shafiei, Hezhao Zhang et al.
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing
Yiyuan Chen, Donghai Guan, Weiwei Yuan et al.
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution
Wentao Tan, Qiong Cao, Yibing Zhan et al.
Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding
Maciej Skorski, Alina Landowska
Beyond Human Labels: A Multi-Linguistic Auto-Generated Benchmark for Evaluating Large Language Models on Resume Parsing
Zijian Ling, Han Zhang, Jiahao Cui et al.
Beyond Human Perception: Understanding Multi-Object World from Monocular View
Keyu Guo, Yongle Huang, Shijie Sun et al.
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
Hanyu Zhao, Li Du, Yiming Ju et al.
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning
Dongyao Jiang, Haodong Jing, Yongqiang Ma et al.
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong et al.
Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling
Xixi Li, Zhuo Gu, Rui Yao et al.
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi et al.
Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework
Zhen Wang, Xi Zhou, Yating Yang et al.
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
Dong Shu, Xuansheng Wu, Haiyan Zhao et al.
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
Miguel Romero Calvo, Shuoyang Ding, Corey D Barrett et al.
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
Qi Zhang, Yifei Wang, Jingyi Cui et al.
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
Tianci Liu, Tong Yang, Quan Zhang et al.
Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation
Gang Dai, Yifan Zhang, Yutao Qin et al.