Papers
Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing
Vito Paolo Pastore, Massimiliano Ciranni, Vittorio Murino
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
Idriss Malek, Aya Laajil, Abhijith Sharma et al.
Lost in Activations: A Neuron-level Analysis of Encoders for Cross-Lingual Emotion Detection
Pranaydeep Singh, Orphee De Clercq, Els Lefever
Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory
Hongli Zhou, Hui Huang, Ziqing Zhao et al.
Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction
Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Qian Hong, Cheng Bian, Xiao Zhou et al.
LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract)
Gokaramaiah Thota, Nagaraju K, Sathya Babu Korra
Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-tuning
Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko
Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification
Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal et al.
LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
Ruiyu Qiu, Rui Wang, Guanghui Yang et al.
LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks
Qin Zhang, Kun Zhou, Xulun Ye
lrnnx: A library for Linear RNNs
Karan Bania, Soham Kalburgi, Manit Tanwar et al.
LSAP-PV: High-Fidelity Palm Vein Image Synthesis via Layered Spectral Absorption Projection-Guided Diffusion Model
Sheng Shang, Chenglong Zhao, Ruixin Zhang et al.
LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
Julian Ost, Andrea Ramazzina, Amogh Joshi et al.
LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
Naiyi Li, Zihui Ma, Runlong Yu et al.
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
Guanjie Cheng, Mengzhen Yang, Xinkui Zhao et al.
LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation
Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni
LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
Ernesto Casablanca, Oliver Schön, Paolo Zuliani et al.
LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint)
Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence
Chunyao Lu, Tianyu Zhang, Xinglong Liang et al.
LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules
Cheng Yang, Hui Jin, Xinlei Yu et al.
Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
Maxence Lasbordes, Sinoué Gad
LuxDiagRC: A Diagnostic Reading Comprehension Corpus for Luxembourgish with Linguistic and Cognitive Annotation Layers
Christophe Friezas Gonçalves, Salima Lamsiyah, Christoph Schommer
LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling
Xianhang Li, Hongru Zhu, Sucheng Ren et al.
LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention
Wei Lu, Xue Yang, Si-Bao Chen