Papers
Not All Language Model Features Are One-Dimensionally Linear
Joshua Engels, Eric J Michaud, Isaac Liao et al.
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
Changyeon Kim, Minho Heo, Doohyun Lee et al.
Sort-free Gaussian Splatting via Weighted Sum Rendering
Qiqi Hou, Randall Rauwendaal, Zifeng Li et al.
PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations
Dhananjaya Jayasundara, Heng Zhao, Demetrio Labate et al.
Logical Consistency of Large Language Models in Fact-Checking
Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat et al.
Learning Transformer-based World Models with Contrastive Predictive Coding
Maxime Burchi, Radu Timofte
DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
Saman Forouzandeh, Parham Moradi DW, Mahdi Jalili
TopoDiffusionNet: A Topology-aware Diffusion Model
Saumya Gupta, Dimitris Samaras, Chao Chen
Do LLMs estimate uncertainty well in instruction-following?
Juyeon Heo, Miao Xiong, Christina Heinze-Deml et al.
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
Zhiwei Xu, Zhiyu Ni, Yixin Wang et al.
Data Distillation for extrapolative protein design through exact preference optimization
Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola et al.
Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
Zhuo Huang, Gang Niu, Bo Han et al.
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang et al.
CBMA: Improving Conformal Prediction through Bayesian Model Averaging
Pankaj Bhagwat, Linglong Kong, Bei Jiang
Spectro-Riemannian Graph Neural Networks
Karish Grover, Haiyang Yu, Xiang song et al.
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
Aiwei Liu, Haoping Bai, Zhiyun Lu et al.
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif et al.
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang, Josh Viktorov, Doosan Jung et al.
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
Dhruv Gautam, Spandan Garg, Jinu Jang et al.
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
Shicheng Xu, Liang Pang, Yunchang Zhu et al.
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
Feng Tian, Yixuan Li, Yichao Yan et al.
Isometric Regularization for Manifolds of Functional Data
Hyeongjun Heo, Seonghun Oh, Jae Yong Lee et al.
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang, Tianhong Gao, Chunping Wang et al.
Natural Language Inference Improves Compositionality in Vision-Language Models
Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao et al.