Most Cited AAAI "node-level attacks" Papers
5,317 papers found • Page 21 of 27
Conference
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
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Giorgio Morales, John W. Sheppard
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
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
Nobuo Namura, Sho Takemori
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
Rashmeet Kaur Nayyar, Siddharth Srivastava
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Anh T Nguyen, Lam Tran, Anh Tong et al.
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda et al.
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
Wenyao Ni, Jiangrong Shen, Qi Xu et al.
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
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data
Weiran Pan, Wei Wei, Feida Zhu et al.
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.
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection
Yifeng Peng, Xinyi Li, Zhiding Liang 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.
Iterative Counterfactual Data Augmentation
Mitchell Plyler, Min Chi
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients
Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany et al.
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
Ruizhi Pu, Gezheng Xu, Ruiyi Fang et al.
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data
Zhuang Qi, Lei Meng, Zhaochuan Li et al.
Certified Causal Defense with Generalizable Robustness
Yiran Qiao, Yu Yin, Chen Chen et al.
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Zhongjian Qiao, Jiafei Lyu, Kechen Jiao 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
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino et al.
Improving Generalization for AI-Synthesized Voice Detection
Hainan Ren, Li Lin, Chun-Hao Liu et al.
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.
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
Luis Roque, Vítor Cerqueira, Carlos Soares et al.
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Pramit Saha, Divyanshu Mishra, Felix Wagner et al.
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
Vishwesh Sangarya, Jung-Eun Kim
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
Sascha Saralajew, Ashish Rana, Thomas Villmann et al.
Explicit and Implicit Graduated Optimization in Deep Neural Networks
Naoki Sato, Hideaki Iiduka
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks
Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
Davide Scassola, Sebastiano Saccani, Ginevra Carbone et al.
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
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
Yong-Min Shin, Siqing Li, Xin Cao et al.
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
Zhenqiu Shu, Teng Sun, Yunwei Luo et al.
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
Shreya Shukla, Nakul Sharma, Manish Gupta 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.
Functional Connectomes of Neural Networks
Tananun Songdechakraiwut, Yutong Wu
Behaviour Preference Regression for Offline Reinforcement Learning
Padmanaba Srinivasan, William Knottenbelt
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees
Luca Pascal Staus, Christian Komusiewicz, Frank Sommer et al.
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.
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
Huai-An Su, Jiaxiang Geng, Liang Li et al.
Multi-view Granular-ball Contrastive Clustering
Peng Su, Shudong Huang, Weihong Ma 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.
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
Chengkun Sun, Jinqian Pan, Russell Stevens Terry et al.
Online MDP with Prototypes Information: A Robust Adaptive Approach
Shuo Sun, Meng Qi, Zuo-Jun Max Shen
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
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
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak et al.
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.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma 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.
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
Wentao Yu, Shuo Chen, Yongxin Tong 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
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie et al.
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
Jia Zeng, Lan Huang, Kangping Wang
Graph Structure Refinement with Energy-based Contrastive Learning
Xianlin Zeng, Yufeng Wang, Yuqi Sun et al.
Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition
Beibei Zhang, Tongwei Ren, Gangshan Wu
Learning Robust and Privacy-Preserving Representations via Information Theory
Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong et al.
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.
A-VL: Adaptive Attention for Large Vision-Language Models
Junyang Zhang, Mu Yuan, Ruiguang Zhong et al.
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
Li Zhang, Chaochao Chen, Zhongxuan Han et al.
Channel Merging: Preserving Specialization for Merged Experts
Mingyang Zhang, Jing Liu, Ganggui Ding 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.
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
Ruijia Zhang, Mingxi Lei, Meng 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.
Navigating Towards Fairness with Data Selection
Yixuan Zhang, Zhidong Li, Yang Wang et al.
Evolutionary Classifier Chain for Multi-Dimensional Classification
Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
Yuanyang Zhang, Yijie Lin, Weiqing Yan et al.
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
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.
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao, Hongyang Du, Guangyuan Liu 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.
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
Xin-yang Zhao, Jian Jin, Yang-yang Li et al.
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Yusheng Zhao, Junyu Luo, Xiao Luo 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
All You Need in Knowledge Distillation Is a Tailored Coordinate System
Junjie Zhou, Ke Zhu, Jianxin Wu
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.
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
Xiaoling Zhou, Ou Wu, Nan Yang
Fully Test-time Adaptation for Tabular Data
Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo 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.
Single-Loop Federated Actor-Critic across Heterogeneous Environments
Ye Zhu, Xiaowen Gong
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.
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
Heda Zuo, Weitao You, Junxian Wu 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
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
Anton Andreychuk, Konstantin Yakovlev, Aleksandr Panov et al.
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
Speedup Techniques for Switchable Temporal Plan Graph Optimization
He Jiang, Muhan Lin, Jiaoyang Li
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
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
Thomy Phan, Benran Zhang, Shao-Hung Chan et al.
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
Shoucheng Song, Youfang Lin, Sheng Han et al.
Windowed MAPF with Completeness Guarantees
Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li et al.
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.
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng 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.
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
Ashutosh Bajpai, Tanmoy Chakraborty
Text2midi: Generating Symbolic Music from Captions
Keshav Bhandari, Abhinaba Roy, Kyra Wang et al.
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel et al.
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
Han Cao, Lingwei Wei, Wei Zhou et al.
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls
Li Chai, Donglin Wang
XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
Linzheng Chai, Jian Yang, Tao Sun et al.
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Jiaqi Chen, Xiaoye Zhu, Tianyang Liu et al.
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation
Jiaqi Chen, Bingqian Lin, Xinmin Liu et al.
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter
Junhao Chen, Bowen Wang, Zhouqiang Jiang 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.
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder
Jianwei Cui, Yu Gu, Shihao Chen et al.
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
Shaobo Cui, Junyou Li, Luca Mouchel 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.
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
Muxi Diao, Rumei Li, Shiyang Liu 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.
Enhancing LLMs via High-Knowledge Data Selection
Feiyu Duan, Xuemiao Zhang, Sirui Wang et al.
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
Zhichao Duan, Tengyu Pan, Zhenyu Li et al.
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
Xuan Feng, Tianlong Gu, Xiaoli Liu et al.
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models
Jian Gao, Xiao Zhang, Miao Li et al.
Multi-Branch Self-Drafting for LLM Inference Acceleration
Zipeng Gao, Qingrong Xia, Tong Xu et al.
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long et al.
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism
Jianing He, Qi Zhang, Hongyun Zhang et al.
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Tao He, Lizi Liao, Yixin Cao et al.
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
Michael Heck, Christian Geishauser, Nurul Lubis 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.
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
Chenhui Hu, Pengfei Cao, Yubo Chen et al.
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
Guang Huang, Yanan Xiao, Lu Jiang et al.
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
Jia-Hong Huang, Yixian Shen, Hongyi Zhu et al.