Papers
ACE-ICD: Acronym Expansion As Data Augmentation For Automated ICD Coding
Tuan-Dung Le, Shohreh Haddadan, Thanh Q. Thieu
ACE-ICD: Acronym Expansion As Data Augmentation For Automated ICD Coding
Tuan-Dung Le, Shohreh Haddadan, Thanh Q. Thieu
ACE-M3: Automatic Capability Evaluator for Multimodal Medical Models
Xiechi Zhang, Shunfan Zheng, Linlin Wang et al.
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
Zihan Liu, Yang Chen, Mohammad Shoeybi et al.
A Centrality-based Graph Learning Framework
Jiajun Yu, Zhihao Wu, Jielong Lu et al.
A Certified Unlearning Approach without Access to Source Data
Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury et al.
ACES: Automatic Cohort Extraction System for Event-Stream Datasets
Justin Xu, Jack Gallifant, ALISTAIR JOHNSON et al.
A Chain-of-Task Framework for Instruction Tuning of LLMs Based on Chinese Grammatical Error Correction
Xinpeng Liu, Bing Xu, Muyun Yang et al.
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
Yu Chen, Jing Lian, Zhaofei Yu et al.
A Character-Centric Creative Story Generation via Imagination
Kyeongman Park, Minbeom Kim, Kyomin Jung
A Characterization of List Regression
Chirag Pabbaraju, Sahasrajit Sarmasarkar
Achieving $\widetilde\mathcalO(\sqrtT)$ Regret in Average-Reward POMDPs with Known Observation Models
Alessio Russo, Alberto Maria Metelli, Marcello Restelli
Achieving Balanced Representation in School Choice with Diversity Goals
Zhaohong Sun, Makoto Yokoo
Achieving binary weight and activation for LLMs using Post-Training Quantization
Siqing Song, Chuang Wang, Rui-Qi Wang et al.
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
Jiahao Xu, Zikai Zhang, Rui Hu
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu et al.
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
Zhao Zhou, Yiqun Wang, Weizhong Zhang et al.
Achieving Lightweight Super-Resolution for Real-Time Computer Graphics
Yu Wen, Chen Zhang, Chenhao Xie et al.
Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
Liyuan Liang, Xinyi Chen, Gan Luo et al.
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously
Hannaneh Akrami, Nidhi Rathi
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen, Ping Wang, Zihan Zhou et al.
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
Yulin He, Wei Chen, Siqi Wang et al.
Achieving Wire-Latency Storage Systems by Exploiting Hardware ACKs
Qing Wang, Jiwu Shu, Jing Wang et al.