Papers
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani et al.
Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction
Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde et al.
Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text
Amr Mohamed, Yang Zhang, Michalis Vazirgiannis et al.
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Qian Hong, Cheng Bian, Xiao Zhou et al.
Lost in Translation, and Found: Detecting and Interpreting Translation Effects
Shira Wein, Anna Serbina, Jiyuan Ji et al.
LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport
Zekun Wang, Jingjie Zeng, Yingxu Li et al.
LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation
Caiqi Zhang, Xiaochen Zhu, Chengzu Li 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.
Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection
Shiying Fan, Mareike Bassenge, Martin Steinebach
Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
Maxence Lasbordes, Sinoué Gad