Paper Papers
5,964 papers found • Page 41 of 120
Conference
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
Amr Abourayya, Jens Kleesiek, Kanishka Rao et al.
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies
Ameer Hamza, Abdullah, Yong Hyun Ahn et al.
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Mushui Liu, Yuhang Ma, Zhen Yang et al.
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun, Xiaochun Yang, Zhu Sun et al.
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions
Adam Ishay, Joohyung Lee
LLM-based Multi-Agents System Attack via Continuous Optimization with Discrete Efficient Search
Weichen Yu, Kai Hu, Tianyu Pang et al.
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models
Minqian Liu, Zhiyang Xu, Xinyi Zhang et al.
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs
Kai Chen, Xin Song, Ye Wang et al.
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Qidong Liu, Xian Wu, Wanyu Wang et al.
LLM-Powered User Simulator for Recommender System
Zijian Zhang, Shuchang Liu, Ziru Liu et al.
LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts
Zhuhao Wang, Yihua Sun, Zihan Li et al.
LLMs Are In-Context Bandit Reinforcement Learners
Giovanni Monea, Antoine Bosselut, Kianté Brantley et al.
LLMs as Research Tools: A Large Scale Survey of Researchers’ Usage and Perceptions
Zhehui Liao, Maria Antoniak, Inyoung Cheong et al.
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
Soumyadeep Pal, Changsheng Wang, James Diffenderfer et al.
LLM Unlearning Without an Expert Curated Dataset
Xiaoyuan Zhu, Muru Zhang, Ollie Liu et al.
LM Agents May Fail to Act on Their Own Risk Knowledge
Yuzhi Tang, Tianxiao Li, Elizabeth Li et al.
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
Jialong Zuo, Ying Nie, Tianyu Guo et al.
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding
Yutong Wang, Tanishq Duhan, Jiaoyang Li et al.
Local Causal Discovery for Structural Evidence of Direct Discrimination
Jacqueline Maasch, Kyra Gan, Violet Chen et al.
Local Causal Discovery Without Causal Sufficiency
Zhaolong Ling, Jiale Yu, Yiwen Zhang et al.
Local Conditional Controlling for Text-to-Image Diffusion Models
Yibo Zhao, Liang Peng, Yang Yang et al.
Locally Convex Global Loss Network for Decision-Focused Learning
Haeun Jeon, Hyunglip Bae, Minsu Park et al.
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
Ryo Bertolissi, Jonas Hübotter, Ido Hakimi et al.
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Jiancheng Pan, Yanxing Liu, Yuqian Fu et al.
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang et al.
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction
Er Jin, Qihui Feng, Yongli Mou et al.
Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction
Peixin Huang, Xiang Zhao, Minghao Hu et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
Li Zhang, Chaochao Chen, Zhongxuan Han et al.
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
Ziyun Zou, Yinghui Jiang, Lian Shen et al.
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba
Yubo Cui, Zhiheng Li, Jiaqiang Wang et al.
LongCodeBench: Evaluating Coding LLMs at 1M Context Windows
Stefano Rando, Luca Romani, Alessio Sampieri et al.
LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception
Yuan-Hong Liao, Sven Elflein, Liu He et al.
LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation
Xi Ye, Fangcong Yin, Yinghui He et al.
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Yina He, Lei Peng, Yongcun Zhang et al.
Long-Term EEG Partitioning for Seizure Onset Detection
Zheng Chen, Yasuko Matsubara, Yasushi Sakurai et al.
Long-Term Experiences From Working with Extended Reality in the Wild
Verena Biener, Florian Jack Winston, Dieter Schmalstieg et al.
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding
Shiyi Zheng, Peizhi Zhao, Zhilong Zheng et al.
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
Danni Peng, Yuan Wang, Huazhu Fu et al.
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM
Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen et al.
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Hanzhe Liang, Guoyang Xie, Chengbin Hou et al.
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions
Shuai Zhou, Shizhe Zhao, Zhongqiang Ren
LoRe: Personalizing LLMs via Low-Rank Reward Modeling
Avinandan Bose, Zhihan Xiong, Yuejie Chi et al.
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
Geigh Zollicoffer, Minh N. Vu, Ben Nebgen et al.
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang, Jiacheng You, Ashwinee Panda et al.
Low-Light Image Enhancement via Generative Perceptual Priors
Han Zhou, Wei Dong, Xiaohong Liu et al.
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
Gabriel Jacob Perin, Runjin Chen, Xuxi Chen et al.
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
Dongshuo Huang, Xiaoshui Huang, Chengdong Zhang et al.
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages
Junchen Li, Qing Yang, Bojian Jiang et al.