Papers
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.
Looking at Radiology Report Generation through a Causal Lens: A Survey
Satyam Kumar, Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya
Looking Beyond the One: Operationalizing and Eliciting Visual Ambiguity in VLLMs
Yuchong Chen, Bowei Zou, Yuhan Chen et al.
Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
Xuchen Li, Xuzhao Li, Jiahui Gao et al.
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
Zhuoran Jin, Kejian Zhu, Hongbang Yuan et al.
Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning
YongKang Liu, Xingle Xu, Ercong Nie et al.
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
Xingyu Li, Xiaolei Liu, Cheng Liu et al.
LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls
Kangning Zhang, Weiwen Liu, Wenxiang Jiao et al.
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
Wei Shao, Zheng Lingchao, Pengyu Wang et al.
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
Chang Che, Ziqi Wang, Pengwan Yang et al.
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
Seungeon Lee, Soumi Das, Manish Gupta 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
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.