Papers
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: Improving LLM Reasoning with Minimal Test-Time Intervention
Zhen Yang, Mingyang Zhang, Feng Chen 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.
Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
Chenyuan Zhang, Qiguang Chen, Xie 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 LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1,500-Student Online Classroom
Jonghoon Lee, Geonjae Youn, Seongmin Lee 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.
Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning
Hengwei Liu, Haoyuan Ma, Qingqing Lyu et al.
Leveraging Pretrained Representations for Cross-Modal Point Cloud Completion
Kshitij Kale, Hrishikesh U, V sreenidhe et al.
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
Héctor Laria, Alexandra Gomez-Villa, Jiang Qin et al.