Papers
Lorentz Entailment Cone for Semantic Segmentation
Zahid Hasan, Masud Ahmed, Nirmalya Roy
LoResMT 2026 Shared Task System Description
Vladimir Panov
LORETTA: A Low Resource Framework to Poison Continuous Time Dynamic Graphs
Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal et al.
Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing
Vito Paolo Pastore, Massimiliano Ciranni, Vittorio Murino
Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs
Eva Vanmassenhove
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 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.