Most Cited 2025 "visual-text token alignment" Papers
22,274 papers found • Page 112 of 112
Conference
SING: Spatial Context in Large Language Model for Next-Gen Wearables
Ayushi Mishra, Yang Bai, Priyadarshan Narayanasamy et al.
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
Chenqi Li, Boyan Gao, Gabriel Davis Jones et al.
Flow Matching for Denoised Social Recommendation
Yinxuan Huang, KE LIANG, Zhuofan Dong et al.
Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
Seungbeom Lee, Munsun Jo, Jungseul Ok et al.
ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
Ze Yang, Shichao Dong, Ruibo Li et al.
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
Zhaohong Huang, Yuxin Zhang, JingJing Xie et al.
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing
Mingliang Hou, Xueyi Li, Teng Guo et al.
Faster Rates for Private Adversarial Bandits
Hilal Asi, Vinod Raman, Kunal Talwar
Learning to Steer Learners in Games
Yizhou Zhang, Yian Ma, Eric Mazumdar
Structure-Guided Large Language Models for Text-to-SQL Generation
Qinggang Zhang, Hao Chen, Junnan Dong et al.
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia et al.
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
Lulu Cao, Zexin Lin, Kay Chen Tan et al.
Competing Bandits in Matching Markets via Super Stability
Soumya Basu
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
Yixuan Even Xu, Zhe Feng, Fei Fang
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
Bingchen Wang, Zhaoxuan Wu, Fusheng Liu et al.
Semialgebraic Neural Networks: From roots to representations
S David Mis, Matti Lassas, Maarten V de Hoop
HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs
Mingquan Feng, Weixin Liao, Yixin Huang et al.
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
Mislav Balunovic, Jasper Dekoninck, Nikola Jovanović et al.
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
Haozhao Wang, Shengyu Wang, Jiaming Li et al.
Do not write that jailbreak paper
Javier Rando
Achieving Balanced Representation in School Choice with Diversity Goals
Zhaohong Sun, Makoto Yokoo
Uncommon Belief in Rationality
Qi Shi, Pavel Naumov
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
Junlong Li, Daya Guo, Dejian Yang et al.
Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport
Yuguang Yan, Zongyu Li, Haolin Yang et al.
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games
Juan Shi, Zhaoheng Cao, Jinzhuo Liu et al.
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
Jonathan Shaki, Yonatan Aumann, Sarit Kraus
Primitive Vision: Improving Diagram Understanding in MLLMs
Shan Zhang, Aotian Chen, Yanpeng Sun et al.
Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness
Haixin Zhong, Haoyu Wang, Wei Dai et al.
Textural or Textual: How Vision-Language Models Read Text in Images
Hanzhang Wang, Qingyuan Ma
Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss
Yuchen Guan, Runxi Cheng, Kang Liu et al.
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
Zhigaoyuan Wang, Ying Sun, Hengshu Zhu
BBCaL: Black-box Backdoor Detection under the Causality Lens
Zihan Guan, Junfeng Guo, Mengxuan Hu et al.
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
Jiaru Qian, Guancheng Wan, Wenke Huang et al.
Censor Dependent Variational Inference
Chuanhui Liu, Xiao Wang
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
Mary Monroe, Anish Thilagar, Melody Hsu et al.
Decentralized Convergence to Equilibrium Prices in Trading Networks
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.
MATS: An Audio Language Model under Text-only Supervision
Wen Wang, Ruibing Hou, Hong Chang et al.
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
Yicheng Luo, Bowen Zhang, Zhen Liu et al.
Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries
Zongzhao Li, Jiacheng Cen, Wenbing Huang et al.
Sample Complexity of Linear Regression Models for Opinion Formation in Networks
Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram et al.
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
Yuchen Yuchen, Xiangzhong Fang, Hanting Chen et al.
A Theoretical Framework for Partially-Observed Reward States in RLHF
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano et al.
Offline Model-based Optimization for Real-World Molecular Discovery
Dong-Hee Shin, Young-Han Son, Hyun Jung Lee et al.
On the Statistical Mechanisms of Distributional Compositional Generalization
Jingwen Fu, Nanning Zheng
An Efficient Pruner for Large Language Model with Theoretical Guarantee
Canhong Wen, Yihong Zuo, Wenliang Pan
Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms
Sho Takemori, Yuhei Umeda, Aditya Gopalan
Metric Distortion of Line-up Elections: The Right Person for the Right Job
Christopher Jerrett, Yue Han, Elliot Anshelevich
Learning Optimal Auctions with Correlated Value Distributions
Da Huo, Zhenzhe Zheng, Fan Wu
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
Zixiang Chen, Greg Yang, Qingyue Zhao et al.
Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits
Su Jia, Peter Frazier, Nathan Kallus
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
Gangqiang Hu, Jianfeng Lu, Jianmin Han et al.
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha et al.
Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment
Xingyu Zhou, Yulian Wu, Wenqian Weng et al.
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li et al.
Forecasting Competitions with Correlated Events
Rafael Frongillo, Manuel Lladser, Anish Thilagar et al.
Individually Stable Dynamics in Coalition Formation over Graphs
Angelo Fanelli, Laurent Gourvès, Ayumi Igarashi et al.
An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
Xinyue Chen, Jinfeng Peng, Yuhao Li et al.
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
Verifying Proportionality in Temporal Voting
Edith Elkind, Svetlana Obraztsova, Jannik Peters et al.
Deep Neural Cellular Potts Models
Koen Minartz, Tim d'Hondt, Leon Hillmann et al.
Bounded Rationality Equilibrium Learning in Mean Field Games
Yannick Eich, Christian Fabian, Kai Cui et al.
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
Jun-En Ding, Dongsheng Luo, Chenwei Wu et al.
Online Learning of Coalition Structures by Selfish Agents
Saar Cohen, Noa Agmon
Position: You Can't Manufacture a NeRF
Marta An Kimmel, Mueed Rehman, Yonatan Bisk et al.
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
gen li, Yao Wan, Hongyu Zhang et al.
Mechanism Design for Connecting Regions Under Disruptions
Hau Chan, Jianan Lin, Zining Qin et al.
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
Jiachen Hu, Rui Ai, Han Zhong et al.
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity
Ioannis Caragiannis, Kurt Mehlhorn, Nidhi Rathi
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
Yuhan Helena Liu, Guangyu Robert Yang, Christopher Cueva
Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting
Qi Li, Zhenyu Zhang, Lei Yao et al.
Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach
Omar Bennouna, Jiawei Zhang, Saurabh Amin et al.
FedClean: A General Robust Label Noise Correction for Federated Learning
Xiaoqian Jiang, Jing Zhang