Papers
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang, Sihao Hu, Fatih Ilhan et al.
Listenable Maps for Zero-Shot Audio Classifiers
Francesco Paissan, Luca Della Libera, Mirco Ravanelli et al.
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley et al.
LiT: Unifying LiDAR "Languages" with LiDAR Translator
Yixing Lao, Tao Tang, Xiaoyang Wu et al.
LIVE: Learnable In-Context Vector for Visual Question Answering
Yingzhe Peng, Chenduo Hao, Xinting Hu et al.
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering
Delin Qu, Qizhi Chen, Pingrui Zhang et al.
LLaMo: Large Language Model-based Molecular Graph Assistant
Jinyoung Park, Minseong Bae, Dohwan Ko et al.
LLaNA: Large Language and NeRF Assistant
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
Pengkun Wang, Zhe Zhao, Haibin Wen et al.
LLM-based Skill Diffusion for Zero-shot Policy Adaptation
Woo Kyung Kim, Youngseok Lee, Jooyoung Kim et al.
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
Ge Yang, Changyi He, Jinyang Guo et al.
LLM-Check: Investigating Detection of Hallucinations in Large Language Models
Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan et al.
LLM Circuit Analyses Are Consistent Across Training and Scale
Curt Tigges, Michael Hanna, Qinan Yu et al.
LLM Dataset Inference: Did you train on my dataset?
Pratyush Maini, Hengrui Jia, Nicolas Papernot et al.
LLMDFA: Analyzing Dataflow in Code with Large Language Models
Chengpeng Wang, Wuqi Zhang, Zian Su et al.
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
Qidong Liu, Xian Wu, Yejing Wang et al.
LLM Evaluators Recognize and Favor Their Own Generations
Arjun Panickssery, Samuel R. Bowman, Shi Feng
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
James Requeima, John Bronskill, Dami Choi et al.
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang, Yuan Zuo, Fengzhi Li et al.
LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning
Jiazuo Yu, Haomiao Xiong, Lu Zhang et al.
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
Zecheng Hao, Xinyu Shi, Yujia Liu et al.
Local and Adaptive Mirror Descents in Extensive-Form Games
Côme Fiegel, Pierre Ménard, Tadashi Kozuno et al.
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
Seok-Jin Kim, Min-hwan Oh
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
Genki Osada, Makoto Shing, Takashi Nishide
Localized Adaptive Risk Control
Matteo Zecchin, Osvaldo Simeone