Papers
Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering
Hang Gao, Zuosong Cai, Yuze Li et al.
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen et al.
Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs
Aritra Banik, Mano Prakash Parthasarathi, Venkatesh Raman et al.
LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
Narges Baba Ahmadi, Jan Strich, Martin Semmann et al.
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu et al.
LENS: Learning to Segment Anything with Unified Reinforced Reasoning
Lianghui Zhu, Bin Ouyang, Yuxuan Zhang et al.
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset
Manjushree Aithal, Rosaura G VidalMata, Manikandtan Kartha et al.
Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection
Yali Huang, Jie Mei, Ziyi Wu et al.
Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
Zaruhi Navasardyan, Bagratuni Minsayan, Spartak Bughdaryan et al.
Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective
Tianqi Jiang, Liu Yang, Xi-Le Zhao et al.
Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks
Keke Tang, Tianyu Hao, Xiaofei Wang et al.
Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models
Yucheng Zhou, Jihai Zhang, Guanjie Chen et al.
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
Kushal Chawla, Chenyang Zhu, Pengshan Cai et al.
Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving
Hui Zeng, Daming Zhao, Pengfei Yang et al.
Let’s Put Ourselves in Sally’s Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models
Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
Let’s Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification
Jingshen Zhang, Xin Ying Qiu, Lifang Lu et al.
Let’s Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
Xu Liu, Yongheng Zhang, Qiguang Chen et al.
Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition
Haiying Xia, Zhongyi Huang, Yumei Tan et al.
Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment
You Rim Choi, Subeom Park, Seojun Heo et al.
Leveraging CoHere Multilingual Embeddings and Inverted Softmax Retrieval for Automatic Parallel Sentence Alignment in Low-Resource Languages
Abubakar Auwal Khalid, Salisu Musa Borodo, Amina Abubakar Imam
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages
Noam Dahan, Omer Kidron, Gabriel Stanovsky
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Shibo Yao, Renshuai Tao, Xiaolong Zheng et al.
Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs
Shezheng Song, Kangcheng Ding, Shan Zhao et al.
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis et al.