Papers
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
Jianheng Tang, Qifan Zhang, Yuhan Li et al.
Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
Mianchu Wang, Yue Jin, Giovanni Montana
Adversarial Mixup Unlearning
Zhuoyi PENG, Yixuan Tang, Yi Yang
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao, Eike Eberhard, Stephan Günnemann
On the Benefits of Memory for Modeling Time-Dependent PDEs
Ricardo Buitrago, Tanya Marwah, Albert Gu et al.
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh et al.
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
Zhongshen Zeng, Pengguang Chen, Shu Liu et al.
Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
Yufan Hu, Yujiang, Wuyang Li et al.
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn et al.
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
Jiawen Qin, Haonan Yuan, Qingyun Sun et al.
Can Textual Gradient Work in Federated Learning?
Minghui Chen, Ruinan Jin, Wenlong Deng et al.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
Yangzhen Wu, Zhiqing Sun, Shanda Li et al.
Robust Function-Calling for On-Device Language Model via Function Masking
Qiqiang Lin, Muning Wen, Qiuying Peng et al.
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler, Tam Le, Vu Nguyen
φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
Wenye Li, Jiacai Liu, Ke Wei
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
Yuqian Fu, Yuanheng Zhu, Jian Zhao et al.
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction
Huawen Feng, ZekunYao, Junhao Zheng et al.
$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
Zhaoyu Liu, Kan Jiang, Murong Ma et al.
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Ivan Butakov, Alexander Semenenko, Alexander Tolmachev et al.
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark
Kush Jain, Gabriel Synnaeve, Baptiste Roziere
UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping
Yanjie Li, Kaisheng Liang, Bin Xiao
Stochastic Bandits Robust to Adversarial Attacks
Xuchuang Wang, Maoli Liu, Jinhang Zuo et al.
ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
Serin Yang, Taesung Kwon, Jong Chul Ye