Most Cited 2025 "video caption understanding" Papers
22,274 papers found • Page 105 of 112
Conference
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
Subhendu Khatuya, Ritvik Vij, Paramita Koley et al.
Learning Structural Causal Models from Ordering: Identifiable Flow Models
Minh Khoa Le, Kien Do, Truyen Tran
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
Dongyeon Kim, Yejin Kan, Gangman Yi
Diffusion-Based Active Learning for Distributed Client Manifolds
Kwang In Kim
Sample-aware Adaptive Structured Pruning for Large Language Models
Jun Kong, Xinge Ma, Jin Wang et al.
Selective Uncertainty Propagation in Offline RL
Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya et al.
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
Lorenz Kummer, Samir Moustafa, Wilfried Gansterer et al.
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization
Yuanhao Lai, Pengfei Zheng, Chenpeng Ji et al.
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.
Truncated Gaussian Policy for Debiased Continuous Control
Ganghun Lee, Minji Kim, Minsu Lee et al.
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation
Giwoong Lee, Jiseung Ahn, Jeongyeol Choe
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
Junghun Lee, Hyunju Kim, Fanchen Bu et al.
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing
Seungcheol Lee, Moohong Min
Towards Trustable SHAP Scores
Olivier Létoffé, Xuanxiang Huang, Joao Marques-Silva
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition
Chaohua Li, Enhao Zhang, Chuanxing Geng et al.
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
Dexun Li, Wenjun Li, Pradeep Varakantham
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models
Deyin Li, Xiang Ling, Changjiang Li et al.
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Hao Li, Fanggao Wan, Yue Su et al.
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
Jianfeng Li, Jiawen Zhang, Feng Wang et al.
Multi-Label Ranking Loss Minimization for Matrix Completion
Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang et al.
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
Lei Li, Haochen Yang, Jiacheng Guo et al.
Deep Hypergraph Neural Networks with Tight Framelets
Ming Li, Yujie Fang, Yi Wang et al.
On the Power of Convolution-Augmented Transformer
Mingchen Li, Xuechen Zhang, Yixiao Huang et al.
Detecting and Corrupting Convolution-based Unlearnable Examples
Minghui Li, Xianlong Wang, Zhifei Yu et al.
Dynamic Clustering Convolutional Neural Network
Tanzhe Li, Baochang Zhang, Jiayi Lyu et al.
Adaptive Dual Guidance Knowledge Distillation
Tong Li, Long Liu, Kang Liu et al.
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction
Yanxi Li, Chengbin Du
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement
Yi Li, Yang Sun, Plamen P Angelov
Calibrated Disambiguation for Partial Multi-label Learning
Zhuoming Li, Yuheng Jia, Mi Yu et al.
Metric-Agnostic Continual Learning for Sustainable Group Fairness
Heng Lian, Chen Zhao, Zhong Chen et al.
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
Haoyuan Liang, Xinyu Zhang, Shilei Cao et al.
Label Noise Correction via Fuzzy Learning Machine
Jiye Liang, Yixiao Li, Junbiao Cui
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
Zhu Liao, Nour Hezbri, Victor Quétu et al.
Learning Local Neighborhoods of Non-Gaussian Graphical Models
Sarah Liaw, Rebecca Morrison, Youssef Marzouk et al.
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
Local Causal Discovery Without Causal Sufficiency
Zhaolong Ling, Jiale Yu, Yiwen Zhang et al.
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
Ao Liu, Wenshan Li, Beibei Li et al.
Asymmetric Learning for Spectral Graph Neural Networks
Fangbing Liu, Qing Wang
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
Haoran Liu, Youzhi Luo, Tianxiao Li et al.
LiD-FL: Towards List-Decodable Federated Learning
Hong Liu, Liren Shan, Han Bao et al.
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
Jiawei Liu, Yuanbo Xu, Shanshan Song et al.
Federated Graph-Level Clustering Network
Jingxin Liu, Jieren Cheng, Renda Han et al.
Probability-Density-aware Semi-supervised Learning
Shuyang Liu, Ruiqiu Zheng, Yunhang Shen et al.
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
Siqi Liu, Dongxiao He, Zhizhi Yu et al.
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
Xiang Liu, Hau Chan, Minming Li et al.
Multi-Objective Molecular Design Through Learning Latent Pareto Set
Yiping Liu, Jiahao Yang, Xuanbai Ren et al.
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering
Zhen Long, Yipeng Liu, Yazhou Ren et al.
FedCross: Intertemporal Federated Learning Under Evolutionary Games
Jianfeng Lu, Ying Zhang, Riheng Jia et al.
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
Rui Lu, Bihai Zhang, Dan Wang
Adaptive-Grained Label Distribution Learning
Yunan Lu, Weiwei Li, Dun Liu et al.
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation
Yuwu Lu, Haoyu Huang, Waikeung Wong et al.
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification
Zhiguang Lu, Qianqian Xu, Shilong Bao et al.
Emergence-Inspired Multi-Granularity Causal Learning
Hanwen Luo, Guoxian Yu, Jun Wang et al.
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading
Xiaoling Luo, Qihao Xu, Huisi Wu et al.
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks
Bochen Lyu, He Wang, Zheng Wang et al.
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
Gengyu Lyu, Bohang Sun, Xiang Deng et al.
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
Shuai Lyu, Zijing Tian, Zhonghong Ou et al.
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
Hao Ma, Shijie Wang, Zhiqiang Pu et al.
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma, Jin Wang, Xuejie Zhang
RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios
Zehua Ma, Han Fang, Xi Yang et al.
HyperDefender: A Robust Framework for Hyperbolic GNNs
Nikita Malik, Rahul Gupta, Sandeep Kumar
Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis
Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models
Zhenhua Meng, Fanshen Meng, Rongheng Lin et al.
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
Xianbo Mo, Shunquan Tan, Bin Li et al.
Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection
Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering
Mahsa Mozaffari, Hitesh Sapkota, Qi Yu
SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression
Inbar Nachmani, Bar Genossar, Coral Scharf et al.
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Learning Deep Dissipative Dynamics
Yuji Okamoto, Ryosuke Kojima
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models
Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães et al.
Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, Stratis Ioannidis
Deep Disentangled Metric Learning
Jinhee Park, Jisoo Park, Dagyeong Na et al.
Riemannian Geometric-based Meta Learning
JuneYoung Park, YuMi Lee, Tae-Joon Kim et al.
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
Danni Peng, Yuan Wang, Huazhu Fu et al.
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin et al.
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
Marcin Pietron, Kamil Faber, Dominik Żurek et al.
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data
Zhuang Qi, Lei Meng, Zhaochuan Li et al.
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors
Yalan Qin, Guorui Feng, Xinpeng Zhang
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
Yongchun Qin, Pengfei Fang, Hui Xue
Kernel Learning for Sample Constrained Black-Box Optimization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
Slice-and-Pack: Tailoring Deep Models for Customized Requirements
Ruice Rao, Dingwei Li, Ming Li
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System
Hao Ren, Xiao Lan, Rui Tang et al.
Monitoring Primitive Interactions During the Training of DNNs
Jie Ren, Xinhao Zheng, Jiyu Liu et al.
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
Vishwesh Sangarya, Jung-Eun Kim
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks
Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
Hyunjin Seo, Kyusung Seo, Joonhyung Park et al.
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
Renat Sergazinov, Richard Chen, Cheng Ji et al.
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification
Yuming Shao, Zhixuan Fang
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective
Hongyu Shen, Zhizhen Zhao
Protecting Model Adaptation from Trojans in the Unlabeled Data
Lijun Sheng, Jian Liang, Ran He et al.
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense
Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang et al.
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Yuta Shikuri
Replication-proof Bandit Mechanism Design with Bayesian Agents
Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
Zhenqiu Shu, Teng Sun, Yunwei Luo et al.
Co-Dream: Collaborative Dream Synthesis over Decentralized Models
Abhishek Singh, Gauri Gupta, Yichuan Shi et al.
MORE: Molecule Pretraining with Multi-Level Pretext Task
Yeongyeong Son, Dasom Noh, Gyoungyoung Heo et al.
Exploring Rationale Learning for Continual Graph Learning
Lei Song, Jiaxing Li, Qinghua Si et al.
Behaviour Preference Regression for Offline Reinforcement Learning
Padmanaba Srinivasan, William Knottenbelt
On Local Overfitting and Forgetting in Deep Neural Networks
Uri Stern, Tomer Yaacoby, Daphna Weinshall
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels
Chao Su, Huiming Zheng, Dezhong Peng et al.
Probabilistic Explanations for Linear Models
Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
Bohang Sun, Yongjian Deng, Yuena Lin et al.
Online MDP with Prototypes Information: A Robust Adaptive Approach
Shuo Sun, Meng Qi, Zuo-Jun Max Shen
Improving Private Random Forest Prediction Using Matrix Representation
Arisa Tajima, Joie Wu, Amir Houmansadr
FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks
Da Sun Handason Tam, Huanle Xu, Yang Liu et al.
Model Lineage Closeness Analysis
Chen Tang, Lan Zhang, Qi Zhao et al.
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
Keke Tang, Ziyong Du, Weilong Peng et al.
Reputation-aware Revenue Allocation for Auction-based Federated Learning
Xiaoli Tang, Han Yu
Fast Multi-Instance Partial-Label Learning
Yin-Fang Yang, Wei Tang, Min-Ling Zhang
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
Yunhao Yang, Bo Xue, Yunzhi Hao et al.
Continual Unsupervised Generative Modelling via Online Optimal Transport
Fei Ye, Adrian G. Bors, Kun Zhang
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy
Fei Ye, Adrian G. Bors
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent
Hangyu Ye, Weiying Xie, Yunsong Li et al.
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
Liping Yi, Han Yu, Chao Ren et al.
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer
Mingze Yin, Hanjing Zhou, Yiheng Zhu et al.
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models
Xiaotian Yin, Xin Liu, Si Chen et al.
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
Kihyuk Yoon, Chiehyeon Lim
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
Mu You, Fang Zhang, Shuai Zhang et al.
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation
Zhidong Yu, Xiaoman Liu, Jiajun Hu et al.
Contextual Structure Knowledge Transfer for Graph Neural Networks
Zhiyuan Yu, Wenzhong Li, Zhangyue Yin et al.
BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning
Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
Jia Zeng, Lan Huang, Kangping Wang
Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition
Beibei Zhang, Tongwei Ren, Gangshan Wu
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
Gong-Duo Zhang, Ruiqing Chen, Qian Zhao et al.
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization
Haozhen Zhang, Zhaogeng Liu, Bin Gu et al.
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
Hongliang Zhang, Shuo Chen, Lei Luo et al.
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression
Junwei Zhang, Tianheng Wang, Zeyi Zhang et al.
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
Qin Zhang, Xiaowei Li, Ziqi Liu et al.
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
Qinbo Zhang, Xiao Yan, Yukai Ding et al.
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection
Shuai Zhang, Yu Fan, Haoyi Zhou et al.
Parametric ρ-Norm Scaling Calibration
Siyuan Zhang, Linbo Xie
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
Tianlong Zhang, Zhe Xue, Adnan Mahmood et al.
EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation
Wenjie Zhang, Jun Yin, Long Ma et al.
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
Xiao Zhang, Sunhao Dai, Jun Xu et al.
HVAdam: A Full-Dimension Adaptive Optimizer
Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu et al.
Evolutionary Classifier Chain for Multi-Dimensional Classification
Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation
Yumin Zhang, Haoran Duan, Rui Sun et al.
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
Botao Zhao, Xiaoyang Qu, Zuheng Kang et al.
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
Hanyu Zhao, Zijie Pan, Yajie Wang et al.
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
Qi Zhao, Christian Wressnegger
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method
Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin et al.
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
Zhe Zhao, Pengkun Wang, Haibin Wen et al.
Mixture of Online and Offline Experts for Non-Stationary Time Series
Zhilin Zhao, Longbing Cao, Yuanyu Wan
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
Hao Zheng, Zhigang Hu, Liu Yang et al.
MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition
Yan Zhong, Zhixin Yan, Yi Xie et al.
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
Guangchong Zhou, Zeren Zhang, Guoliang Fan
On Probabilistic Truncation in Privacy-preserving Machine Learning
Lijing Zhou, Bingsheng Zhang, Ziyu Wang et al.
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
Pengyang Zhou, Chaochao Chen, Weiming Liu et al.
Causally Consistent Normalizing Flow
Qingyang Zhou, Kangjie Lu, Meng Xu
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models
Qirui Zhou, Yuanbo Wen, Ruizhi Chen et al.
Training Deep Neural Networks with Virtual Smoothing Classes
Zhiyang Zhou, Siwei Wei, Xudong Zhang et al.
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
Zikun Zhou, Wen Huang, Xingyi Wang et al.
Constrained Offline Black-Box Optimization via Risk Evaluation and Management
Yiyi Zhu, Huakang Lu, Yupeng Wu et al.
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
Junbao Zhuo, Shuhui Wang, Zhenghan Chen et al.
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks
Yuankun Zu, Shiyu Xia, Xu Yang et al.
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
Ruifan Zuo, Chaoqun Zheng, Lei Zhu et al.
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution
Adam Zychowski, Andrew Perrault, Jacek Mańdziuk
Orpheus: Engineering Multiagent Systems via Communicating Agents
Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh et al.
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements
Rafael Dewes, Rayna Dimitrova
An Open-Ended Learning Framework for Opponent Modeling
Yuheng Jing, Kai Li, Bingyun Liu et al.
Learning Joint Behaviors with Large Variations
Tianxu Li, Kun Zhu
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
Chunyan Mu, Muhammad Najib, Nir Oren
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding
Mingyue Zhang, Nianyu Li, Yi Chen et al.
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
Yue Zhang, Zhe Chen, Daniel Harabor et al.
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
Shengyuan Bai, Qibin Li, Zhe Wang et al.
MP: Endowing Large Language Models with Lateral Thinking
Tian Bai, Yongwang Cao, Yan Ge et al.
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
Han Cao, Lingwei Wei, Wei Zhou et al.
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning
Minping Chen, You-Liang Huang, Zeyi Wen
Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent
Yu-Chuan Chen, Hen-Hsen Huang
Attributive Reasoning for Hallucination Diagnosis of Large Language Models
Yuyan Chen, Zehao Li, Shuangjie You et al.
On Effects of Steering Latent Representation for Large Language Model Unlearning
Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung et al.
Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems
Sourish Dasgupta, Harsh Sharma, Devansh Patel et al.
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
Shihan Dou, Yan Liu, Enyu Zhou et al.
Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models
Yanrui Du, Sendong Zhao, Ming Ma et al.
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
Zhichao Duan, Tengyu Pan, Zhenyu Li et al.
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models
Jian Gao, Xiao Zhang, Miao Li et al.
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts
Nghia Hieu Nguyen, Dat Tien Nguyen, Ngan Luu-Thuy Nguyen
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
Shifu Hou, Rick Johnson, Ramandeep Makhija et al.
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
Guang Huang, Yanan Xiao, Lu Jiang et al.
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition
Shizhou Huang, Bo Xu, Yang Yu et al.
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa et al.
Towards Verifiable Text Generation with Generative Agent
Bin Ji, Huijun Liu, Mingzhe Du et al.
Speech Watermarking with Discrete Intermediate Representations
Shengpeng Ji, Ziyue Jiang, Jialong Zuo et al.
VERSE: Verification-based Self-Play for Code Instructions
Hao Jiang, Qi Liu, Rui Li et al.
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
Xiaoqiang Kang, Zimu Wang, Xiaobo Jin et al.
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition
Yujin Kang, Yoon-Sik Cho
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction
Zixiao Kong, Xianquan Wang, Shuanghong Shen et al.
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
Dongdong Kuang, Richong Zhang, Zhijie Nie et al.
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan, Enneng Yang, Yuting Liu et al.
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
Ximing Li, Yuanchao Dai, Zhiyao Yang et al.