Papers
LogToP: Logic Tree-of-Program with Table Instruction-tuned LLMs for Controlled Logical Table-to-Text Generation
Yupian Lin, Guangya Yu, Cheng Yuan et al.
LoKI: Low-Damage Knowledge Implanting of Large Language Models
Runyu Wang, Peng Ping, Zhengyu Guo et al.
Long-Context Long-Form Question Answering for Legal Domain
Anagha Kulkarni, Parin Rajesh Jhaveri, Prasha Shrestha et al.
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
Hui Huang, Yancheng He, Wei Liu et al.
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu et al.
LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images
Guichen Huang, Ruoyu Wang, Xiangjun Gao et al.
LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
Zhichao Yang, Tianjiao Gu, Jianjie Wang et al.
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
Jie Li, Kwan-Yee K. Wong, Kai Han
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
Shuochen Liu, Pengfei Luo, Chao Zhang et al.
Look-Back: Implicit Visual Re-focusing in MLLM Reasoning
Shuo Yang, Yuwei Niu, Yuyang Liu et al.
Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding
Hiroaki Kingetsu, Kaoru Yokoo, Kenji Fukumizu et al.
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs
Jiayu Hu, Beibei Li, Jiangwei Xia et al.
LookFlow: Training-Free and Efficient High-Resolution Image Synthesis via Dynamic Lookahead Guidance Flow
Yuan Zhou, Yan Zhang, Jianlong Chang et al.
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
Xingyu Li, Xiaolei Liu, Cheng Liu et al.
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
Chang Che, Ziqi Wang, Pengwan Yang et al.
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
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.