Papers
Approximation algorithms for combinatorial optimization with predictions
Antonios Antoniadis, Marek Elias, Adam Polak et al.
Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semantics
Pascal Kettmann, Jesse Heyninck, Hannes Strass
Approximation to Smooth Functions by Low-Rank Swish Networks
Zimeng Li, Hongjun Li, Jingyuan Wang et al.
AppTek’s Automatic Speech Translation: Generating Accurate and Well-Readable Subtitles
Frithjof Petrick, Patrick Wilken, Evgeny Matusov et al.
A Practical Analysis of Human Alignment with *PO
Kian Ahrabian, Xihui Lin, Barun Patra et al.
A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs
Chiwan Park, Wonjun Jang, Daeryong Kim et al.
A Practical Approach to Causal Inference over Time
Martina Cinquini, Isacco Beretta, Salvatore Ruggieri et al.
A Practical Examination of AI-Generated Text Detectors for Large Language Models
Brian Tufts, Xuandong Zhao, Lei Li
A Practical Method for Generating String Counterfactuals
Matan Avitan, Ryan Cotterell, Yoav Goldberg et al.
A Practical Tool to Help Automate Interlinear Glossing: a Study on Mukrī Kurdish
Hiwa Asadpour, Shu Okabe, Alexander Fraser
A Pragmatic Approach to Using Artificial Intelligence and Virtual Reality in Digital Game-Based Language Learning
Monica Ward, Liang Xu, Elaine Uí Dhonnchadha
A Preliminary Study on NLP-Based Personalized Support for Type 1 Diabetes Management
Sandra Mitrović, Federico Fontana, Andrea Zignoli et al.
A Primal-dual Perspective for Distributed TD-learning
Han Dong Lim, Donghwan Lee
A primer on linear classification with missing data
Angel David REYERO LOBO, Alexis Ayme, Claire Boyer et al.
A Prior-based Discrete Diffusion Model for Social Graph Generation
Shu Yin, Dongpeng Hou, Lianwei Wu et al.
A Prior-Driven Lightweight Network for Endoscopic Exposure Correction
Zhijian Wu, Hong Wang, Yuxuan Shi et al.
A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets
Debalina R Padariya
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
Bairu Hou, Yang Zhang, Jacob Andreas et al.
A Probabilistic Inference Scaling Theory for LLM Self-Correction
Zhe Yang, Yichang Zhang, Yudong Wang et al.
A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control
Yongce Liu, Zhongqiang Ren
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani et al.