Papers
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Taehyun Cho, Seokhun Ju, Seungyub Han et al.
Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.
Policy-Regret Minimization in Markov Games with Function Approximation
Thanh Nguyen-Tang, Raman Arora
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue, Lang Feng, Jiacheng Xu et al.
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
Maria Despoina Siampou, Jialiang Li, John Krumm et al.
polybasic Speculative Decoding Through a Theoretical Perspective
Ruilin Wang, Huixia Li, Yuexiao Ma et al.
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
Fanmeng Wang, Wentao Guo, Qi Ou et al.
Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou
Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
Evripidis Bampis, Bruno Escoffier, Dimitris Fotakis et al.
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
Yaoyang Liu, Junlin Li, Yinjun Wu et al.
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim et al.
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida et al.
Position: AI Agents Need Authenticated Delegation
Tobin South, Samuele Marro, Thomas Hardjono et al.
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
D. Sculley, William Cukierski, Phil Culliton et al.
Position: AI Evaluation Should Learn from How We Test Humans
Yan Zhuang, Qi Liu, Zachary Pardos et al.
Position: AI Safety Must Embrace an Antifragile Perspective
Ming Jin, Hyunin Lee
Position: AI Safety should prioritize the Future of Work
Sanchaita Hazra, Bodhisattwa Prasad Majumder, Tuhin Chakrabarty
Position: AI Scaling: From Up to Down and Out
Yunke Wang, Yanxi Li, Chang Xu
Position: AI’s growing due process problem
Sunayana Rane
Position: AI Should Not Be An Imitation Game: Centaur Evaluations
Andreas Haupt, Erik Brynjolfsson
Positional Attention: Expressivity and Learnability of Algorithmic Computation
Artur Back De Luca, George Giapitzakis, Shenghao Yang et al.
Positional Encoding meets Persistent Homology on Graphs
Yogesh Verma, Amauri H Souza, Vikas K Garg
Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry
Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta et al.
Position: All Current Generative Fidelity and Diversity Metrics are Flawed
Ossi Räisä, Boris Van Breugel, Mihaela Van Der Schaar