Papers
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds
Ziheng Ding, Xiaze Zhang, Qi Jing et al.
ASD-iLLM:An Intervention Large Language Model for Autistic Children based on Real Clinical Dialogue Intervention Dataset
Shuzhong Lai, Chenxi Li, Junhong Lai et al.
A-SEA3𝐋-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation
Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar
As easy as PIE: understanding when pruning causes language models to disagree
Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo et al.
A Second-Order Perspective on Model Compositionality and Incremental Learning
Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega et al.
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang Li et al.
A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
Yuanye Liu, Jinyang Liu, Renwei Dian et al.
A Self-Denoising Model for Robust Few-Shot Relation Extraction
Liang Zhang, Yang Zhang, Ziyao Lu et al.
A Self-Distillation Recipe for Neural Machine Translation
Hongfei Xu, Zhuofei Liang, Qiuhui Liu et al.
A Self-Improving Method for Generating Descriptions of Financial Data Quality Grading Using LLMs
Yang Zhao, Yohei Ikawa, Bishwaranjan Bhattacharjee
A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance
Yuwei Chen, Ming-Ching Chang, Mattias Kirchner et al.
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
Jian Gu, Aldeida Aleti, Chunyang Chen et al.
A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)
Alejandra López de Aberasturi Gómez, Jordi Sabater-Mir, Carles Sierra
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation
Zheng Zhang, Guanchun Yin, Bo Zhang et al.
A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation
Yepai Jia, Yatu Ji, Xiang Xue et al.
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
Haoyuan Chen, Yonghao Li, Long Yang et al.
A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
Chunyuan Yuan, Chong Zhang, Zhen Fang et al.
A Sentence-Level Visualization of Attention in Large Language Models
Seongbum Seo, Sangbong Yoo, Hyelim Lee et al.
A Sequent Calculus for Answer Set Entailment
Thomas Eiter, Tobias Geibinger
A Sequential Multi-Stage Approach for Code Vulnerability Detection via Confidence- and Collaboration-based Decision Making
Chung-Nan Tsai, Xin Wang, Cheng-Hsiung Lee et al.
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
Weibo Zhao, Yubin Shi, Xinyu Lyu et al.
ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching
Yuxuan Yuan, Luyao Tang, Yixin Chen et al.
A Shapley-value Guided Rationale Editor for Rationale Learning
Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee
A Shared Low-Rank Adaptation Approach to Personalized RLHF
Renpu Liu, Peng Wang, Donghao Li et al.
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal