All Papers

34,598 papers found • Page 18 of 692

AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning

Jun Gao, Qian Qiao, Tianxiang Wu et al.

AAAI 2025paper

A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning

Guan Zhe Hong, Nishanth Dikkala, Enming Luo et al.

NEURIPS 2025spotlightarXiv:2411.04105
4
citations

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements

Adriana-Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi et al.

ICLR 2025arXiv:2502.07022
2
citations

Aioli: A Unified Optimization Framework for Language Model Data Mixing

Mayee Chen, Michael Hu, Nicholas Lourie et al.

ICLR 2025arXiv:2411.05735
18
citations

AION-1: Omnimodal Foundation Model for Astronomical Sciences

Liam Parker, Francois Lanusse, Jeff Shen et al.

NEURIPS 2025arXiv:2510.17960
3
citations

AIOS: LLM Agent Operating System

Kai Mei, Xi Zhu, Wujiang Xu et al.

COLM 2025paperarXiv:2403.16971
62
citations

AI-Powered Algorithm-Centric Quantum Processor Topology Design

Tian Li, Xiao-Yue Xu, Chen Ding et al.

AAAI 2025paperarXiv:2412.13805

AIpparel: A Multimodal Foundation Model for Digital Garments

Kiyohiro Nakayama, Jan Ackermann, Timur Levent Kesdogan et al.

CVPR 2025highlightarXiv:2412.03937
5
citations

AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs

David McCoy, Yulun Wu, Zachary Butzin-Dozier

NEURIPS 2025arXiv:2511.01077

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

Runqing Jiang, Ye Zhang, Longguang Wang et al.

AAAI 2025paperarXiv:2502.04628
3
citations

AIRA: Activation-Informed Low-Rank Adaptation for Large Models

Lujun Li, Dezhi Li, Cheng Lin et al.

ICCV 2025

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset

Bingxiang He, Wenbin Zhang, Jiaxi Song et al.

COLM 2025paperarXiv:2504.03612
2
citations

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories

Yi Zeng, Yu Yang, Andy Zhou et al.

ICLR 2025
15
citations

AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference

Kai Huang, hao zou, Bochen Wang et al.

ICCV 2025arXiv:2503.23956

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench

Edan Toledo, Karen Hambardzumyan, Martin Josifoski et al.

NEURIPS 2025spotlightarXiv:2507.02554
16
citations

AI-Researcher: Autonomous Scientific Innovation

Jiabin Tang, Lianghao Xia, Zhonghang Li et al.

NEURIPS 2025spotlightarXiv:2505.18705
13
citations

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

jindong tian, Yuxuan Liang, Ronghui Xu et al.

ICLR 2025oralarXiv:2410.19892
18
citations

AirRoom: Objects Matter in Room Reidentification

Runmao Yao, Yi Du, Zhuoqun Chen et al.

CVPR 2025arXiv:2503.01130
1
citations

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning

Guangchong Zhou, Zeren Zhang, Guoliang Fan

AAAI 2025paperarXiv:2412.15700

AI Sandbagging: Language Models can Strategically Underperform on Evaluations

Teun van der Weij, Felix Hofstätter, Oliver Jaffe et al.

ICLR 2025arXiv:2406.07358
67
citations

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders

David Chanin, James Wilken-Smith, Tomáš Dulka et al.

NEURIPS 2025oralarXiv:2409.14507
81
citations

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time computation

Tuhin Chakrabarty, Philippe Laban, Chien-Sheng Wu

COLM 2025paperarXiv:2504.07532
15
citations

AI Testing Should Account for Sophisticated Strategic Behaviour

Vojta Kovarik, Eric Chen, Sami Petersen et al.

NEURIPS 2025arXiv:2508.14927
2
citations

AJAHR: Amputated Joint Aware 3D Human Mesh Recovery

hyunjin cho, Giyun choi, Jongwon Choi

ICCV 2025arXiv:2509.19939

AKiRa: Augmentation Kit on Rays for Optical Video Generation

Xi Wang, Robin Courant, Marc Christie et al.

CVPR 2025arXiv:2412.14158
12
citations

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models

Yuchen Jiang, Xinyuan Zhao, Yihang Wu et al.

AAAI 2025paperarXiv:2502.15959
3
citations

AKORN: Adaptive Knots generated Online for RegressioN splines

Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang

ICML 2025

AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings

Yilin Ye, Junchao Huang, Xingchen ZENG et al.

ICML 2025arXiv:2505.14664
1
citations

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection

Junjun Pan, Yixin Liu, Xin Zheng et al.

AAAI 2025paperarXiv:2502.13308
18
citations

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning

Wenyao Ni, Jiangrong Shen, Qi Xu et al.

AAAI 2025paperarXiv:2412.12696
3
citations

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

Thomas Schmied, Thomas Adler, Vihang Patil et al.

ICML 2025arXiv:2410.22391
11
citations

A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization

Kim Youwang, Lee Hyun, Kim Sung-Bin et al.

ICLR 2025arXiv:2310.03205
4
citations

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation

Can Rong, Jingtao Ding, Yan Liu et al.

ICLR 2025
1
citations

A Large-scale Training Paradigm for Graph Generative Models

Yu Wang, Ryan Rossi, Namyong Park et al.

ICLR 2025
1
citations

A Latent Multilayer Graphical Model For Complex, Interdependent Systems

Martin Ondrus, Ivor Cribben, Yang Feng

NEURIPS 2025

A Layer Selection Approach to Test Time Adaptation

Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.

AAAI 2025paperarXiv:2404.03784
3
citations

ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition

Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah

ICLR 2025arXiv:2502.00156
3
citations

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

Pratinav Seth, Michelle Lin, BREFO YAW et al.

ICML 2025arXiv:2410.09032

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov et al.

NEURIPS 2025arXiv:2505.19297
2
citations

Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation

Shaonan Wu, Shuai Lu, Yeyun Gong et al.

ICLR 2025arXiv:2410.15748
1
citations

A learnability analysis on neuro-symbolic learning

Hao-Yuan He, Ming LI

NEURIPS 2025spotlightarXiv:2503.16797
1
citations

A Learning-Augmented Approach to Online Allocation Problems

Ilan Cohen, Debmalya Panigrahi

NEURIPS 2025

A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows

Guansheng Peng, Lining Xing, Fuyan Ma et al.

NEURIPS 2025

ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering

Yuki Imajuku, Kohki Horie, Yoichi Iwata et al.

NEURIPS 2025arXiv:2506.09050
9
citations

A Lens into Interpretable Transformer Mistakes via Semantic Dependency

Ruo-Jing Dong, Yu Yao, Bo Han et al.

ICML 2025

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision

Chensheng Peng, Ido Sobol, Masayoshi Tomizuka et al.

ICCV 2025arXiv:2412.00623
3
citations

ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Shuyue Stella Li, Jimin Mun, Faeze Brahman et al.

COLM 2025paperarXiv:2502.14860
15
citations

Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models

Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.

NEURIPS 2025

Algorithm Development in Neural Networks: Insights from the Streaming Parity Task

Loek van Rossem, Andrew Saxe

ICML 2025oralarXiv:2507.09897

Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning

Anja Šurina, Amin Mansouri, Lars C.P.M. Quaedvlieg et al.

COLM 2025paperarXiv:2504.05108
25
citations