Oral "large language models" Papers

21 papers found

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

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

Episodic Memories Generation and Evaluation Benchmark for Large Language Models

Alexis Huet, Zied Houidi, Dario Rossi

ICLR 2025oralarXiv:2501.13121
8
citations

Generating Computational Cognitive models using Large Language Models

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

NeurIPS 2025oralarXiv:2502.00879
3
citations

LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision

Jiani Huang, Ziyang Li, Mayur Naik et al.

ICLR 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

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Matthew Chang, Gunjan Chhablani, Alexander Clegg et al.

ICLR 2025oralarXiv:2411.00081
46
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

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

Jianghao Lin, Rong Shan, Jiachen Zhu et al.

NeurIPS 2025oralarXiv:2510.09686

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

$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

Zijie Pan, Yushan Jiang, Sahil Garg et al.

ICML 2024oral

CogBench: a large language model walks into a psychology lab

Julian Coda-Forno, Marcel Binz, Jane Wang et al.

ICML 2024oral

DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

Zongxin Yang, Guikun Chen, Xiaodi Li et al.

ICML 2024oral

Large Language Models are Geographically Biased

Rohin Manvi, Samar Khanna, Marshall Burke et al.

ICML 2024oral

Learning and Forgetting Unsafe Examples in Large Language Models

Jiachen Zhao, Zhun Deng, David Madras et al.

ICML 2024oral

PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning

Hyeong Kyu Choi, Sharon Li

ICML 2024oral