Papers
2,781 papers found
CTX-Coder: Cross-Attention Architectures Empower LLMs for Long-Context Vulnerability Detection
Jujie Wang, Kangfeng Zheng, Bin Wu et al.
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
Shiyan Zheng, Herun Wan, Minnan Luo et al.
Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs
Zhejing Hu, Yan Liu, Zhi Zhang et al.
ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction
Pengze Li, Jiaqi Liu, Junchi Yu et al.
Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier
Hyeongseop Rha, Jeong Hun Yeo, Yeonju Kim et al.
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
Xikang Yang, Biyu Zhou, Xuehai Tang et al.
UQ-Bench: A Benchmark for Evaluating Multimodal LLMs on Underwater Image Quality Assessment
Jingchao Cao, Guo An, Feng Gao et al.
AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization
Zhonghua Jiang, Kui Chen, Kunxi Li et al.
R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios
Zhu Lu, Tiantian Geng, Yangye Chen et al.
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.
HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization
Zhiyi Duan, Zixing Shi, Hongyu Yuan et al.
LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
Bing Hao, Minglai Shao, Zengyi Wo 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.
TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion
Zexuan Wan, Bo Wang, Kuofei Fang et al.
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
Mengying Wang, Chenhui Ma, Ao Jiao et al.
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
Zhuoxing Wei, Qingchen Xie, Qi Liu et al.
Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning
Yipeng Zhang, Xin Wang, Hong Chen et al.
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Rui Zou, Mengqi Wei, Yutao Zhu 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.
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents
Renke Dai, Hebin Hu, Jiahui Zhang et al.