Papers
Natural Language-centered Inference Network for Multi-modal Fake News Detection
Qiang Zhang, Jiawei Liu, Fanrui Zhang et al.
Natural Language Decomposition and Interpretation of Complex Utterances
Harsh Jhamtani, Hao Fang, Patrick Xia et al.
Navigating Continual Test-time Adaptation with Symbiosis Knowledge
Xu Yang, Moqi Li, Jie Yin et al.
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences
Rui Huang, Sikun Yang, Heinz Koeppl
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval
Yang Xu, Yifan Feng, Yue Gao
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
Xu Wang, Cheng Li, Yi Chang et al.
NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components
Anıl Doğru, Mehmet Onur Keskin, Catholijn M. Jonker et al.
NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion
Mehmet Onur Keskin, Berk Buzcu, Berkecan Koçyiğit et al.
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning
Nathaniel Weir, Peter Clark, Benjamin Van Durme
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis
Zhi Wang, Zhuo Liu, Dong Hu et al.
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections
Dariusz Stolicki, Wojciech Słomczyński, Stanisław Szufa
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning
Xiang Li, Songcan Chen
Normative Testimony and Belief Functions: A Formal Theory of Norm Learning
Taylor Olson, Kenneth D. Forbus
Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem
Rui Sun, Yiyuan Wang, Shimao Wang et al.
O2ARC 3.0: A Platform for Solving and Creating ARC Tasks
Suyeon Shim, Dohyun Ko, Hosung Lee et al.
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
Tong Zhou, Yubo Chen, Pengfei Cao et al.
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
Shengjian Wu, Li Sun, Qingli Li
Off-Agent Trust Region Policy Optimization
Ruiqing Chen, Xiaoyuan Zhang, Yali Du et al.
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
Donghoon Kim, Minjong Yoo, Honguk Woo
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Padmanaba Srinivasan, William Knottenbelt
One-step Spiking Transformer with a Linear Complexity
Xiaotian Song, Andy Song, Rong Xiao et al.
Online Combinatorial Optimization with Group Fairness Constraints
Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel et al.
Online Learning of Capacity-Based Preference Models
Margot Herin, Patrice Perny, Nataliya Sokolovska
Online Learning of Partitions in Additively Separable Hedonic Games
Saar Cohen, Noa Agmon