NeurIPS Oral "large language models" Papers

21 papers found

Advancing Expert Specialization for Better MoE

Hongcan Guo, Haolang Lu, Guoshun Nan et al.

NeurIPS 2025oralarXiv:2505.22323
9
citations

AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise

Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson et al.

NeurIPS 2025oralarXiv:2507.00310
3
citations

Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation

Jianyuan Guo, Peike Li, Trevor Cohn

NeurIPS 2025oralarXiv:2505.15438
3
citations

Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation

Jianyang Qin, Chaoyang Li, Jinhao Cui et al.

NeurIPS 2025oral

Concept Incongruence: An Exploration of Time and Death in Role Playing

Xiaoyan Bai, Ike Peng, Aditya Singh et al.

NeurIPS 2025oralarXiv:2505.14905
1
citations

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding

Yue Jiang, Jichu Li, Yang Liu et al.

NeurIPS 2025oralarXiv:2505.18411
3
citations

Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences

Joshua Ashkinaze, Hua Shen, Saipranav Avula et al.

NeurIPS 2025oralarXiv:2511.02109

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Yang Yue, Zhiqi Chen, Rui Lu et al.

NeurIPS 2025oralarXiv:2504.13837
483
citations

Generating Computational Cognitive models using Large Language Models

Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony et al.

NeurIPS 2025oralarXiv:2502.00879
3
citations

GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability

Burouj Armgaan, Eshan Jain, Harsh Pandey et al.

NeurIPS 2025oralarXiv:2509.18376
2
citations

LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models

Hao Sun, Huailiang Peng, Qiong Dai et al.

NeurIPS 2025oral

LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory

Jingru Jia, Zehua Yuan, Junhao Pan et al.

NeurIPS 2025oralarXiv:2502.20432
7
citations

Many LLMs Are More Utilitarian Than One

Anita Keshmirian, Razan Baltaji, Babak Hemmatian et al.

NeurIPS 2025oralarXiv:2507.00814
2
citations

Memory Mosaics at scale

Jianyu Zhang, Leon Bottou

NeurIPS 2025oralarXiv:2507.03285
3
citations

Prompting as Scientific Inquiry

Ari Holtzman, Chenhao Tan

NeurIPS 2025oralarXiv:2507.00163

RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility

Haoyu He, Haozheng Luo, Yan Chen et al.

NeurIPS 2025oralarXiv:2509.23115
1
citations

Scaling and context steer LLMs along the same computational path as the human brain

Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli et al.

NeurIPS 2025oralarXiv:2512.01591

Simple and Efficient Heterogeneous Temporal Graph Neural Network

Yili Wang, Tairan Huang, Changlong He et al.

NeurIPS 2025oralarXiv:2510.18467

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers

Jianghao Lin, Rong Shan, Jiachen Zhu et al.

NeurIPS 2025oralarXiv:2510.09686

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models

Siwei Zhang, Yun Xiong, Yateng Tang et al.

NeurIPS 2025oralarXiv:2503.14411
2
citations

VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree

Wenlong Li, Yifei Xu, Yuan Rao et al.

NeurIPS 2025oralarXiv:2510.22693
1
citations