2025 Spotlight Papers
890 papers found • Page 4 of 18
Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
Ezgi Korkmaz
Counterfactual Graphical Models: Constraints and Inference
Juan Correa, Elias Bareinboim
Covered Forest: Fine-grained generalization analysis of graph neural networks
Antonis Vasileiou, Ben Finkelshtein, Floris Geerts et al.
Credal Prediction based on Relative Likelihood
Timo Löhr, Paul Hofman, Felix Mohr et al.
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
Will Merrill, Shane Arora, Dirk Groeneveld et al.
CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
Francis Ward, Teun van der Weij, Hanna Gábor et al.
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
Xingyu Chen, Shihao Ma, Runsheng Lin et al.
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
Xiang Li, Zirui Wang, Zixuan Huang et al.
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian et al.
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
Shristi Das Biswas, Arani Roy, Kaushik Roy
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity
Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic
CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities
Yuxuan Zhu, Antony Kellermann, Dylan Bowman et al.
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
Hyungyung Lee, Geon Choi, Jung-Oh Lee et al.
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao, Devaansh Gupta, Qinqing Zheng et al.
DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
Jiacai Liu, Chaojie Wang, Chris Liu et al.
Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
Daoyuan Chen, Yilun Huang, Xuchen Pan et al.
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
Daoyuan Chen, Haibin Wang, Yilun Huang et al.
Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
Xinran Gu, Kaifeng Lyu, Jiazheng Li et al.
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
Hyeong Kyu Choi, Jerry Zhu, Sharon Li
DeCaFlow: A deconfounding causal generative model
Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.
Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
Zhe Zhao, HaiBin Wen, Xianfu Liu et al.
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani, George Pappas, Aaron Roth et al.
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components
Abel Jansma
Decomposing stimulus-specific sensory neural information via diffusion models
Steeve Laquitaine, Simone Azeglio, Carlo Paris et al.
DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.
Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method
Han Xu, Yuyang Li, Yunfei Deng et al.
Dense Associative Memory with Epanechnikov Energy
Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian et al.
Depth-Width Tradeoffs for Transformers on Graph Tasks
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher et al.
DERD-Net: Learning Depth from Event-based Ray Densities
Diego de Oliveira Hitzges, Suman Ghosh, Guillermo Gallego
Detecting Generated Images by Fitting Natural Image Distributions
Yonggang Zhang, Jun Nie, Xinmei Tian et al.
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
Kefei Zhu, Fengshuo Bai, YuanHao Xiang et al.
DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
Yuran Wang, Ruihai Wu, Yue Chen et al.
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
Canyu Zhao, Yanlong Sun, Mingyu Liu et al.
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
Yuang Ai, Qihang Fan, Xuefeng Hu et al.
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri
Differentiable Decision Tree via "ReLU+Argmin" Reformulation
Qiangqiang Mao, Jiayang Ren, Yixiu Wang et al.
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
Chris Kolb, Laetitia Frost, Bernd Bischl et al.
Differential Privacy on Fully Dynamic Streams
Yuan Qiu, Ke Yi
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei, Ke Ma, Yingfei Sun et al.
Diffusion Generative Modeling on Lie Group Representations
Marco Bertolini, Tuan Le, Djork-Arné Clevert
Dimension-adapted Momentum Outscales SGD
Damien Ferbach, Katie Everett, Gauthier Gidel et al.
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng, Yongxin Chen, Huayu Chen et al.
Direct Fisher Score Estimation for Likelihood Maximization
Sherman Khoo, Yakun Wang, Song Liu et al.
Discovering a Zero (Zero-Vector Class of Machine Learning)
Harikrishna Metta, Venkatesh Babu Radhakrishnan
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand et al.