Papers
A Picture is Worth a Thousand (Correct) Captions: A Vision-Guided Judge-Corrector System for Multimodal Machine Translation
Siddharth Betala, Kushan Raj, Vipul Betala et al.
A Picture is Worth a Thousand (Correct) Captions: A Vision-Guided Judge-Corrector System for Multimodal Machine Translation
Siddharth Betala, Kushan Raj, Vipul Betala et al.
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
Haoxin Liu, Chenghao Liu, B. Aditya Prakash
A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks
Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama et al.
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph
Li Kuang, Qi Xie, HaiYang Yang et al.
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
Yu Chen, Shuai Zheng, Nianyi Wang et al.
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Zhen Guo, Adriana Meza Soria, Wei Sun et al.
A Pipeline and NIR-Enhanced Dataset for Parking Lot Segmentation
Shirin Qiam, Saipraneeth Devunuri, Lewis J. Lehe
A Pipeline to Assess Merging Methods via Behavior and Internals
Yutaro Sigrist, Andreas Waldis
APIRL: Deep Reinforcement Learning for REST API Fuzzing
Myles Foley, Sergio Maffeis
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
Yue Jian, Xiangyu Luo, Zhifei Li et al.
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
Zhuo Li, Yuege Feng, Dandan Guo et al.
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long et al.
A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motions
Youliang Zhang, Ronghui Li, Yachao Zhang et al.
A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
Duosheng Chen, Shihao Zhou, Jinshan Pan et al.
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Orr Zohar, Xiaohan Wang, Yann Dubois et al.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma et al.
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Haoyang Liu, Jie Wang, Zijie Geng et al.
A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
Junfan Li, Shizhong Liao, Zenglin Xu et al.
A Pontryagin Perspective on Reinforcement Learning
Onno Eberhard, Claire Vernade, Michael Muehlebach
A Position Paper on the Automatic Generation of Machine Learning Leaderboards
Roelien C. Timmer, Yufang Hou, Stephen Wan
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation
Ke Li, Leong Hou U, Shuo Shang
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
Honghua Dong, Qidong Su, Yubo Gao et al.
Application of Structured State Space Models to High energy physics with locality sensitive hashing
Cheng Jiang, Sitian Qian