Papers
Benchmarking Visual LLMs Resilience to Unanswerable Questions on Visually Rich Documents
Davide Napolitano, Luca Cagliero, Fabrizio Battiloro
KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs
Baiyang Song, Jun Peng, Yuxin Zhang et al.
SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse
Yiming Sun, Mi Zhang, Feifei Li et al.
TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
Yunxiao Wang, Meng Liu, Wenqi Liu et al.
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
Yun Xing, Nhat Chung, Jie Zhang et al.
HouseTune: Two-Stage Floorplan Generation with LLM Assistance
Ziyang Zong, Guanying Chen, Zhaohuan Zhan et al.
HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization
Zhiyi Duan, Zixing Shi, Hongyu Yuan et al.
Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM
Guoyi Li, Die Hu, Haozhe Li et al.
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
Yuan Li, Jun Hu, Bryan Hooi et al.
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
Jingyi Liao, Yongyi Su, Rong-Cheng Tu et al.
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
Mengying Wang, Chenhui Ma, Ao Jiao et al.
MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation
Tuo Wang, Meng Jian, Ge Shi et al.
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
Zhuoxing Wei, Qingchen Xie, Qi Liu et al.
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng et al.
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation
Fan Zhang, Jinpeng Chen, Tao Wang et al.
Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning
Yipeng Zhang, Xin Wang, Hong Chen et al.
Pricing Online LLM Services with Data-Calibrated Stackelberg Routing Game
Zhendong Guo, Wenchao Bai, Jiahui Jin
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Rui Zou, Mengqi Wei, Yutao Zhu et al.
Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services
Zipeng Ye, Wenjian Luo, Qi Zhou et al.
ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction
Yan Yu, Yilun Liu, Minggui He et al.
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Jianhao Chen, Zishuo Xun, Bocheng Zhou et al.
OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs
Shaoyuan Chen, Zhixuan Chen, Dawei Yang et al.
Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation
Xinrui Chen, Hongxing Zhang, Fanyi Zeng et al.
Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection
Zhiqi Chen, Yuzhou Liu, Jiarui Liu et al.
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents
Renke Dai, Hebin Hu, Jiahui Zhang et al.