Most Cited 2025 "instruction dataset" Papers

Modeling dynamic social vision highlights gaps between deep learning and humans

Kathy Garcia, Emalie McMahon, Colin Conwell et al.

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Xinchen Zhang, Ling Yang, Guohao Li et al.

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models

Tanqiu Jiang, Changjiang Li, Fenglong Ma et al.

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features

Feng Ji, Yanan Zhao, KAI ZHAO et al.

Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks

Wangjia Yu, Xiaomeng Fu, Qiao Li et al.

Large Scale Knowledge Washing

Yu Wang, Ruihan Wu, Zexue He et al.

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control

Devdhar Patel, Hava Siegelmann

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Katie Matton, Robert Ness, John Guttag et al.

ProtPainter: Draw or Drag Protein via Topology-guided Diffusion

Zhengxi Lu, Shizhuo Cheng, Yuru Jiang et al.

Redefining the task of Bioactivity Prediction

Yanwen Huang, Bowen Gao, Yinjun JIA et al.

CtD: Composition through Decomposition in Emergent Communication

Boaz Carmeli, Ron Meir, Yonatan Belinkov

Meta-Dynamical State Space Models for Integrative Neural Data Analysis

Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design

Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny et al.

Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation

Lun Wang

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Shijie Chen, Bernal Jimenez Gutierrez, Yu Su

Model Risk-sensitive Offline Reinforcement Learning

Gwangpyo Yoo, Honguk Woo

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks

Rui Hu, Yifan Zhang, Zhuoran Li et al.

GameGen-X: Interactive Open-world Game Video Generation

Haoxuan Che, Xuanhua He, Quande Liu et al.

Differential learning kinetics govern the transition from memorization to generalization during in-context learning

Alex Nguyen, Gautam Reddy Nallamala

Difference-of-submodular Bregman Divergence

Masanari Kimura, Takahiro Kawashima, Tasuku Soma et al.

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction

Shengju Yu, Zhibin Dong, Siwei Wang et al.

Flow With What You Know

Scott Hawley

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization

Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.

ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation

Ze Yang, Shichao Dong, Ruibo Li et al.

BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis

Tiankuo Chu, Fudong Lin, Shubo Wang et al.

Personality Alignment of Large Language Models

Minjun Zhu, Yixuan Weng, Linyi Yang et al.

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML

Ryan McKenna

Variational Bayesian Pseudo-Coreset

Hyungi Lee, Seungyoo Lee, Juho Lee

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling

Louis Bradshaw, Simon Colton

UniRestore3D: A Scalable Framework For General Shape Restoration

Yuang Wang, Yujian Zhang, Sida Peng et al.

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation

Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.

Open-Source vs Close-Source: The Context Utilization Challenge

Litu Ou

DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.

Ke Wang, Shay B Cohen

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs

Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.

Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors

Chen Ma, Xinjie Xu, Shuyu Cheng et al.

Bayesian Regularization of Latent Representation

Chukwudi Paul Obite, Zhi Chang, Keyan Wu et al.

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li et al.

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

Jiahan Li, Tong Chen, Shitong Luo et al.

Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations

David Dalton, Alan Lazarus, Hao Gao et al.

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning

Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

MGDA Converges under Generalized Smoothness, Provably

Qi Zhang, Peiyao Xiao, Shaofeng Zou et al.

Reassessing How to Compare and Improve the Calibration of Machine Learning Models

Muthu Chidambaram, Rong Ge

Learning Continually by Spectral Regularization

Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar et al.

Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods

Buelent Uendes, Shujian Yu, Mark Hoogendoorn

Coreset Spectral Clustering

Ben Jourdan, Gregory Schwartzman, Peter Macgregor et al.

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL

Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin et al.

Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression

Amit Chakrabarti, Jeffrey Jiang, David Woodruff et al.

See It from My Perspective: How Language Affects Cultural Bias in Image Understanding

Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal et al.

Bridging the Gap Between f-divergences and Bayes Hilbert Spaces

Linus Lach, Alexander Fottner, Yarema Okhrin

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models

Aniruddha Kembhavi, Mohit Bansal, Amita Kamath et al.

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks

Wei Liu, Li Yang, Mingxuan Zhao et al.

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

Patrick Emami, Zhaonan Li, Saumya Sinha et al.

Revisit the Open Nature of Open Vocabulary Semantic Segmentation

Qiming Huang, Han Hu, Jianbo Jiao

ACES: Automatic Cohort Extraction System for Event-Stream Datasets

Justin Xu, Jack Gallifant, ALISTAIR JOHNSON et al.

Multi-Scale Fusion for Object Representation

Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala et al.

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data

Jiajie Li, Brian Quaranto, Chenhui Xu et al.

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations

Zhaorun Chen, Francesco Pinto, Minzhou Pan et al.

3EED: Ground Everything Everywhere in 3D

Rong Li, Yuhao Dong, Tianshuai Hu et al.

Cluster-guided Contrastive Class-imbalanced Graph Classification

Wei Ju, Zhengyang Mao, Siyu Yi et al.

Improving Long-Text Alignment for Text-to-Image Diffusion Models

Luping Liu, Chao Du, Tianyu Pang et al.

On the Computation of the Fisher Information in Continual Learning

Gido van de Ven

MotionClone: Training-Free Motion Cloning for Controllable Video Generation

Pengyang Ling, Jiazi Bu, Pan Zhang et al.

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Botao Ye, Sifei Liu, Haofei Xu et al.

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery

Xiuyuan Hu, Guoqing Liu, Can Chen et al.

CameraCtrl: Enabling Camera Control for Video Diffusion Models

Hao He, Yinghao Xu, Yuwei Guo et al.

A Geometric Framework for Understanding Memorization in Generative Models

Brendan Ross, Hamidreza Kamkari, Tongzi Wu et al.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection

Guangsheng Bao, Yanbin Zhao, Juncai He et al.

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics

Zaige Fei, Fan Xu, Junyuan Mao et al.

Investigating Pattern Neurons in Urban Time Series Forecasting

Chengxin Wang, Yiran Zhao, shaofeng cai et al.

Matérn Kernels for Tunable Implicit Surface Reconstruction

Maximilian Weiherer, Bernhard Egger

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

Yushu Li, Yongyi Su, Adam Goodge et al.