Papers
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand, Fabrizio Boninsegna, Abigail Gentle et al.
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
Xiuyi Jia, Jinchi Li, Yunan Lu et al.
Limitations of measure-first protocols in quantum machine learning
Casper Gyurik, Riccardo Molteni, Vedran Dunjko
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
Xinyu Liu, Zixuan Xie, Shangtong Zhang
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo Park, Garud Iyengar et al.
Linear Contextual Bandits With Interference
Yang Xu, Wenbin Lu, Rui Song
Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani, Marvin Pförtner, Tobias Weber et al.
Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries
Akira Ito, Masanori Yamada, Atsutoshi Kumagai
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller, Martin Wenzel, Tobias Windisch
LipsNet++: Unifying Filter and Controller into a Policy Network
Xujie Song, Liangfa Chen, Tong Liu et al.
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
Rashid Mushkani, Shravan Nayak, Hugo Berard et al.
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Lukas Helff, Felix Friedrich, Manuel Brack et al.
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu, Mouxing Yang, Dezhong Peng et al.
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
Bowen Jin, Jinsung Yoon, Zhen Qin et al.
LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination
Lihe Li, Lei Yuan, Pengsen Liu et al.
LLM-Augmented Chemical Synthesis and Design Decision Programs
Haorui Wang, Jeff Guo, Lingkai Kong et al.
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
Yang Yu, Kai Han, Hang Zhou et al.
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
Hang Gao, Huang Wenxuan, Fengge Wu et al.
LLMScan: Causal Scan for LLM Misbehavior Detection
Mengdi Zhang, Goh Kai Kiat, Peixin Zhang et al.
LLMs Can Reason Faster Only If We Let Them
Bilgehan Sel, Lifu Huang, Naren Ramakrishnan et al.
LLMs can see and hear without any training
Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen et al.
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick et al.
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani et al.