Papers
176,624 papers found
Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics
Yujiao Zhao, Yizhan Xiang, Jiangnan Li et al.
Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
Tao Yu, Yongqi An, Kuan Zhu et al.
Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts
Hongcai He, Zetao Zheng, Anjie Zhu et al.
Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities
Xu Gao, Dong Jing, Kee-hung Lai
Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs
Heng Wang, Changxing Wu
Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessing
Aashish Dhawan, Christopher Driggers-Ellis, Christan Grant et al.
Improving Language Identification for Code-Switched Speech: The Pivotal Role of Accented English
Adyasha Patra, Dhiraj Kumar Sah, Preethi Jyothi
Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration
Jinyoung Park, Minseong Bae, Jeehye Na et al.
Improving LLM Domain Certification with Pretrained Guide Models
Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam et al.
Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization
Xueyu Chen, Kaitao Song, Zifan Song et al.
Improving Long-Context Translation via Self-Supervised Dual Learning
Shanbo Cheng, Shuaijie She, Yu Bao et al.
Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study
Manuel Mosquera, Melissa Verónica Robles, Johan R. Portela et al.
Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text
Samaher Alghamdi, Paul Rayson, Reem Alotibi
Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion
Alexander Politowicz, Sahisnu Mazumder, Bing Liu
Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision
Yimei Zhang, Guojiang Shen, Kaili Ning et al.
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
Gongbo Zhang, Yifan Peng, Chunhua Weng
Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering
Vlad-Andrei Negoiță, Mihai Masala, Traian Rebedea
Improving Sparse IMU-based Motion Capture with Motion Label Smoothing
Zhaorui Meng, Lu Yin, Yangqing Hou et al.
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
Roland Stolz, Michael Eichelbeck, Matthias Althoff
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
Taifeng Liu, Xinjing Liu, Liangqiu Dong et al.
Improving Target Presence and Plurality Recognition for Generalized Referring Image Segmentation
Namyup Kim, Jinsung Lee, Suha Kwak
Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings
Cong Tan, Yongqi Shao, Hong Huo et al.
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
Xinjie Xu, Shuyu Cheng, Dongwei Xu et al.
Improving the Distributional Alignment of LLMs using Supervision
Gauri Kambhatla, Sanjana Gautam, Angela Zhang et al.
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
Joe Stacey, Lisa Alazraki, Aran Ubhi et al.