Papers
ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
Reza Ghoddoosian, Nakul Agarwal, Isht Dwivedi et al.
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
Zhen Han, Zeyinzi Jiang, Yulin Pan et al.
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher et al.
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
Zihao Wang, Yuxiang Wei, Fan Li et al.
ACEBench: A Comprehensive Evaluation of LLM Tool Usage
Chen Chen, Xinlong Hao, Weiwen Liu et al.
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
Huaye Zeng, Dongfu Jiang, Haozhe Wang et al.
ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training
Leonard Bruns, Axel Barroso-Laguna, Tommaso Cavallari et al.
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.
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 Character-Centric Creative Story Generation via Imagination
Kyeongman Park, Minbeom Kim, Kyomin Jung
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 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.