Papers
All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing
Advait Deshmukh, Ashwin Umadi, Dananjay Srinivas et al.
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
Yujia Chen, Rui Sun, Wangkai Li et al.
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
Xiang Geng, Zhejian Lai, Jiajun Chen et al.
Alleviating Dual Biases in Recommendation (Student Abstract)
Sijin Lu, Fangyuan Luo, Jun Wu
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
Lei Huang, Xiaocheng Feng, Weitao Ma et al.
Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA
Jiahao Li, Zhendong Mao, Quan Wang
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
Yue Zhang, Leyang Cui, Wei Bi et al.
Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval
Haotong Bao, Jianjin Zhang, Qi Chen et al.
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu et al.
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
Shihan Dou, Yan Liu, Enyu Zhou et al.
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
Shuchang Ye, Usman Naseem, Mingyuan Meng et al.
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
Xinzi Cao, Ke Chen, Feidiao Yang et al.
Alligators All Around: Mitigating Lexical Confusion in Low-resource Machine Translation
Elizabeth Nielsen, Isaac Rayburn Caswell, Jiaming Luo et al.
All-in-One Image Compression and Restoration
Huimin Zeng, Jiacheng Li, Ziqiang Zheng et al.
All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
Haowei Chen, Zhiwen Yang, Haotian Hou et al.
All-in-One: Transferring Vision Foundation Models into Stereo Matching
Jingyi Zhou, Haoyu Zhang, Jiakang Yuan et al.
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark
Davide Testa, Giovanni Bonetta, Raffaella Bernardi et al.
All in One: Visual-Description-Guided Unified Point Cloud Segmentation
Zongyan Han, Mohamed El Amine Boudjoghra, Jiahua Dong et al.
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana et al.
All models are wrong, some are useful: Model Selection with Limited Labels
Patrik Okanovic, Andreas Kirsch, Jannes Kasper et al.
All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising
Xiaoling Zhou, Zhemg Lee, Wei Ye et al.
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
Emanuele Marconato, Sebastien Lachapelle, Sebastian Weichwald et al.
Allowing Oscillation Quantization: Overcoming Solution Space Limitation in Low Bit-Width Quantization
Weiying Xie, Zihan Meng, Jitao Ma et al.
All Parts Matter: A Unified Mask-Free Virtual Try-On Framework
Chenghu Du, Shengwu Xiong, Yi Rong