All Papers
34,598 papers found • Page 575 of 692
Conference
LLaGA: Large Language and Graph Assistant
Runjin Chen, Tong Zhao, Ajay Jaiswal et al.
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
Renrui Zhang, Jiaming Han, Chris Liu et al.
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
Bo Zou, Chao Yang, Yu Qiao et al.
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
Yanwei Li, Chengyao Wang, Jiaya Jia
LLark: A Multimodal Instruction-Following Language Model for Music
Josh Gardner, Simon Durand, Daniel Stoller et al.
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models
Hao Zhang, Hongyang Li, Feng Li et al.
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Shilong Liu, Hao Cheng, Haotian Liu et al.
LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images
Zonghao Guo, Ruyi Xu, Yuan Yao et al.
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
Guangyi Chen, Yuke Li, Xiao Liu et al.
Llemma: An Open Language Model for Mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster et al.
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon et al.
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Pingchuan Ma, Johnson Tsun-Hsuan Wang, Minghao Guo et al.
LLM as Copilot for Coarse-grained Vision-and-Language Navigation
Yanyuan Qiao, Qianyi Liu, Jiajun Liu et al.
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model
Yulin Luo, Ruichuan An, Bocheng Zou et al.
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Naman Jain, Tianjun Zhang, Wei-Lin Chiang et al.
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia et al.
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Hanan Gani, Shariq Bhat, Muzammal Naseer et al.
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang et al.
LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang
Yuqing Zhang, Hangqi Li, Shengyu Zhang et al.
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Suhyeon Lee, Won Jun Kim, Jinho Chang et al.
LLM-Empowered State Representation for Reinforcement Learning
Boyuan Wang, Yun Qu, Yuhang Jiang et al.
LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Yue Zhang, Ming Zhang, HaiPeng Yuan et al.
LLMGA: Multimodal Large Language Model based Generation Assistant
Bin Xia, Shiyin Wang, Yingfan Tao et al.
LLM-grounded Video Diffusion Models
Long Lian, Baifeng Shi, Adam Yala et al.
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
Hongye Jin, Xiaotian Han, Jingfeng Yang et al.
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
Yan Wang, Zhixuan Chu, Xin Ouyang et al.
LLMs are Good Action Recognizers
Haoxuan Qu, Yujun Cai, Jun Liu
LLMs are Good Sign Language Translators
Jia Gong, Lin Geng Foo, Yixuan He et al.
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
Sheng JIn, Xueying Jiang, Jiaxing Huang et al.
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
Linmei Hu, Hongyu He, Duokang Wang et al.
L-MAGIC: Language Model Assisted Generation of Images with Coherence
zhipeng cai, Matthias Mueller, Reiner Birkl et al.
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao, Yuxuan Hu, Letian Wang et al.
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement
Ye Yu, Fengxin Chen, Jun Yu et al.
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Zeyu Liu, Gourav Datta, Anni Li et al.
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
Yushi Lan, Fangzhou Hong, Shuai Yang et al.
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang, Bryan Plummer
LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers
Ziling Huang, Shin’ichi Satoh
Loc3Diff: Local Diffusion for 3D Human Head Synthesis and Editing
Yushi Lan, Feitong Tan, Qiangeng Xu et al.
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
Peng Jin, Hao Li, Zesen Cheng et al.
Local All-Pair Correspondence for Point Tracking
Seokju Cho, Jiahui Huang, Jisu Nam et al.
Local and Global Flatness for Federated Domain Generalization
Hao Yan, Yuhong Guo
Local Causal Structure Learning in the Presence of Latent Variables
Feng Xie, Zheng Li, Peng Wu et al.
Local Composite Saddle Point Optimization
Site Bai, Brian Bullins
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
Yiyang Chen, Lunhao Duan, Shanshan Zhao et al.
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
Harrie Oosterhuis, Lijun Lyu, Avishek Anand
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding
6627 Peijun Bao, Yong Xia, Wenhan Yang et al.
Local Graph Clustering with Noisy Labels
Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang
Locality-Aware Graph Rewiring in GNNs
Federico Barbero, Ameya Velingker, Amin Saberi et al.
Locality Preserving Refinement for Shape Matching with Functional Maps
Yifan Xia, Yifan Lu, Yuan Gao et al.