Most Cited AAAI "motion clustering" Papers
5,317 papers found • Page 11 of 27
Conference
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
Qiqi Zhang, Chao Li, Zhongying Zhao
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang et al.
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei, Shunyu Liu, Jie Song et al.
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow
Jumin Han, Jun-Hee Kim, Seong-Whan Lee
Enhanced Denesity Peak Clustering for High-Dimensional Data
Zhongli Wang, Jie Yang, Junyi Guan et al.
Noisy Correspondence Rectification via Asymmetric Similarity Learning
Yunbo Wang, YuJie Wu, Zhien Dai et al.
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
Baoming Zhang, MingCai Chen, Jianqing Song et al.
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
Xinxin Wang, Yongshan Zhang, Yicong Zhou
Global-Semantic Alignment Distillation for Partial Multi-view Classification
Xiaoli Wang, Anqi Huang, Yongli Wang et al.
SAT-Based Techniques for Lexicographically Smallest Finite Models
Mikoláš Janota, Choiwah Chow, João Araújo et al.
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
Dynamic Uncertainty Estimation for Offline Reinforcement Learning
Jiesheng Wang, Lin Li, Wei Wei et al.
Pushing the Limits of BFP on Narrow Precision LLM Inference
Hui Wang, Yuan Cheng, Xiaomeng Han et al.
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan, Xingyu Zhao, Hanqing Ma et al.
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
Bin Pu, Liwen Wang, Jiewen Yang et al.
Epistemic Bellman Operators
Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith
Investigating Relational State Abstraction in Collaborative MARL
Sharlin Utke, Jeremie Houssineau, Giovanni Montana
Out-of-Distribution Generalization on Graphs via Progressive Inference
Yiming Xu, Bin Shi, Zhen Peng et al.
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
Alexander Tyurin
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis
Furong Ye, Chuan Luo, Shaowei Cai
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong, Jungmin Kim, Jaesik Choi
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do et al.
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time
Tom Davot, Jessica Enright, Jayakrishnan Madathil et al.
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Yibo Wang, Yingchun Jian, Wenhao Yang et al.
Intent Oriented Contrastive Learning for Sequential Recommendation
Wuhong Wang, Jianhui Ma, Yuren Zhang et al.
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking
Fang Wang, Shenglin Yin, Xiaoying Bai et al.
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms
Mirabel Reid, Santosh S. Vempala
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
Yifan Lin, Enlu Zhou
On Shallow Planning Under Partial Observability
Randy Lefebvre, Audrey Durand
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.
PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning
Daniel Gnad, Lee-Or Alon, Eyal Weiss et al.
Towards Practical Classical Planning Compilations of Numeric Planning
Luigi Bonassi, Francesco Percassi, Enrico Scala
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
Yuchen Sun, Qianqian Xu, Zitai Wang et al.
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan, Yikang Liu, Lin Zhao et al.
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
Tao Gong, Qi Chu, Bin Liu et al.
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series
Seokho Ahn, Hyungjin Kim, Sungbok Shin et al.
Zero-Shot Task Adaptation with Relevant Feature Information
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
Sifan Yang, Yuanyu Wan, Lijun Zhang
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang et al.
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning
Zhang Xiong, Cheng Xie, Haoran Duan et al.
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
Weiwei Xing, Yue Cheng, Hongzhu Yi et al.
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
Kai Mao, Yiyang Lian, Yangyang Wang et al.
Revisiting Open-Set Panoptic Segmentation
Yufei Yin, Hao Chen, Wengang Zhou et al.
Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
Mingyang Lv, Xiangfeng Liu, Yuanbo Xu
Enhancing Sequential Recommendation with Global Diffusion
Mingxuan Luo, Yang Li, Chen Lin
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
Jinyu Zhang, Zhiyuan You, Jize Wang et al.
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Huishi Luo, Yiwen Chen, Yiqing Wu et al.
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World
Chenyu Mu, Jiahua Li, Kun Wei et al.
AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning
Jun Gao, Qian Qiao, Tianxiang Wu et al.
Densest k-Subgraph Mining via a Provably Tight Relaxation
Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
Jinshan Zeng, Xianglong Yu, Xianchao Tong et al.
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
Keith G. Mills, Mohammad Salameh, Ruichen Chen et al.
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
Amir Zandieh, Majid Daliri, Insu Han
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations
Yuguang Liu, Yiyun Miao, Luyao Xia
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction
Lianqiang Gan, Junyu Lai, Jingze Ju et al.
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks
Wei Miao, Jiangrong Shen, Qi Xu et al.
Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training
Ji Won Yoon
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
Jingheng Ye, Shang Qin, Yinghui Li et al.
Effective and Efficient Representation Learning for Flight Trajectories
Shuo Liu, Wenbin Li, Di Yao et al.
Distribution-Consistency-Guided Multi-modal Hashing
Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang, Dongling Xiao, Jinjie Wei et al.
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
Jinxiang Xie, Yilin Li, Xunjian Yin et al.
Exploring the Relationship Between Samples and Masks for Robust Defect Localization
Jiang Lin, Hui Xue, Fanxiu Sun et al.
Explicitly Guided Difficulty-Controllable Visual Question Generation
Jiayuan Xie, Mengqiu Cheng, Xinting Zhang et al.
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Xun Liang, Zhiying Li, Hongxun Jiang
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction
Ge Meng, Jingyan Tu, Jingjia Huang et al.
MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark
Keke Gai, Dongjue Wang, Jing Yu et al.
Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores
Ryo Masumura, Shota Orihashi, Mana Ihori et al.
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
Xin Wu, Yuqi Bu, Yifei Chen et al.
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Jiaxing Wu, Lin Ning, Luyang Liu et al.
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
Pengbo Li, Hang Yu, Xiangfeng Luo
Black-Box Test-Time Prompt Tuning for Vision-Language Models
Fan'an Meng, Chaoran Cui, Hongjun Dai et al.
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing
William Watson, Nicole Cho, Nishan Srishankar
STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs
Zhuang Wang, Linna Zhou, Xuekai Chen et al.
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
Zhensheng Wang, Wenmian Yang, Kun Zhou et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
Contrastive Representation for Interactive Recommendation
Jingyu Li, Zhiyong Feng, Dongxiao He et al.
BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining
Chenlin Fu, Yingying Zhu
McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension
Tongguan Wang, Mingmin Wu, Guixin Su et al.
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
Linyong Wang, Lianwei Wu, Shaoqi Song et al.
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models
Linqin Wang, Yaping Liu, Zhengtao Yu et al.
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
Jieyi Wang, Yue Huang, Zeming Liu et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
Ruixin Mao, Aoyu Shen, Lin Tang et al.
Simplifying Control Mechanism in Text-to-Image Diffusion Models
Zhida Feng, Li Chen, Yuenan Sun et al.
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning
Ante Wang, Linfeng Song, Ye Tian et al.
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval
Mingjin Kuai, Jun Long, Zhan Yang
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation
Shiyu Tian, Shuyue Xing, Xingrui Li et al.
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Yaxuan Kong, Zepu Wang, Yuqi Nie et al.
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination
Lingdu Kong, Xiaochun Yang, Tieying Li et al.
HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation
Taeri Kim, Jiho Heo, Hyunjoon Kim et al.
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
Zhaoyue Sun, Jiazheng Li, Gabriele Pergola et al.
Transformer Layers as Painters
Qi Sun, Marc Pickett, Aakash Kumar Nain et al.
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
Taeho Kim, Hyeongjun Jang, Juwon Yu et al.
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
Kai Sun, Hao Wu, Bin Shi et al.
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
Junfeng Kang, Rui Li, Qi Liu et al.
Interweaving Memories of a Siamese Large Language Model
Xin Song, Zhikai Xue, Guoxiu He et al.
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
Jia Jinghong, Lei Song, Jiaxing Li et al.
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning
Weijian Ma, Ruoxin Chen, Keyue Zhang et al.
HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation
Tonghui Feng, Chunsheng Yan, Qianru Wang et al.
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
Huiru Shao, Kaizhu Huang, Wei Wang et al.
Hansel: Output Length Controlling Framework for Large Language Models
Seoha Song, Junhyun Lee, Hyeonmok Ko
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
Jiazheng Jing, Yinan Zhang, Chunyan Miao
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
Xiongnan Jin, Zhilin Wang, Jinpeng Chen et al.
Auto Encoding Neural Process for Multi-interest Recommendation
Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.
Time Series Supplier Allocation via Deep Black-Litterman Model
Xinke Jiang, Wentao Zhang, Yuchen Fang et al.
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.
Multiplex Graph Representation Learning with Homophily and Consistency
Yudi Huang, Ci Nie, Hongqing He et al.
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Atsumoto Ohashi, Ryuichiro Higashinaka
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs
Maizhen Ning, Zihao Zhou, Qiufeng Wang et al.
NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Van Nguyen, James Michels, Hua Shen et al.
Tensorized Attention for Understanding Multi-Object Relationships
Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka et al.
Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash et al.
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
Jun Hu, Bryan Hooi, Bingsheng He et al.
ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation
Liang Lv, Lefei Zhang
A Compact Model for Mathematics Problem Representations Distilled from BERT
Hao Ming, Xinguo Yu, Xiaotian Cheng et al.
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue et al.
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction
Dongsheng Hong, Chao Chen, Xujia Li et al.
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
Zhiyuan Ma, Zhenya Huang, Jiayu Liu et al.
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
Mohan Gao, Kexin Xu, Xiaofeng Gao et al.
Revisiting Change Captioning from Self-supervised Global-Part Alignment
Feixiao Lv, Rui Wang, Lihua Jing
Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis
Yinan Li, Jun Long, Zhan Yang
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
Marcus Ma, Duong Minh Le, Junmo Kang et al.
Modeling Latent Non-Linear Dynamical System over Time Series
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
Zihao Luo, Xilie Xu, Feng Liu et al.
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
Zesheng Liu, Qiannan Zhu, Cuiping Li et al.
PAT: Pruning-Aware Tuning for Large Language Models
Yijiang Liu, Huanrui Yang, Youxin Chen et al.
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
Yang Liu, Xiaoping Wang, Kai Lu
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering
Chun-Mei Feng, Yang Bai, Tao Luo et al.
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
Mingjiang Duan, Da He, Tongya Zheng et al.
VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning
Sannyuya Liu, Jintian Feng, Xiaoxuan Shen et al.
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
Yingpeng Du, Zhu Sun, Ziyan Wang et al.
Augmenting Math Word Problems via Iterative Question Composing
Haoxiong Liu, Yifan Zhang, Yifan Luo et al.
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning
Di-Nan Lin, Yao Jui-Feng, Kun-Da Wu et al.
On Finding Hubs in High Dimensions with Sampling
Huiwen Dong, Linghan Zeng, Zhiwen Zhao et al.
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation
Naisong Luo, Guoxin Xiong, Tianzhu Zhang
MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images
Jingmeng Li, Lukang Fu, Surun Yang et al.
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Qi Lian, Yu Qi, Yueming Wang
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
Zhuoran Li, Chunming Hu, Junfan Chen et al.
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
Ling Ding, Lei Huang, Zhizhi Yu et al.
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
Yongqi Li, Xin Miao, Shen Zhou et al.
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits
Xia Li, Wenjing Pan
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
Wei Dai, Kai Hwang, Jicong Fan
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak et al.
In-context Prompt-augmented Micro-video Popularity Prediction
Zhangtao Cheng, Jiao Li, Jian Lang et al.
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction
Weijun Chen, Yanze Wang
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan, Enneng Yang, Yuting Liu et al.
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
Jiajie Chen, Yu Sang, Peng-Fei Zhang et al.
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering
Hao Lu, Yunpeng Zhang, Guoqing Wang et al.
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba
Andong Lu, Wanyu Wang, Chenglong Li et al.
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
Chengtai Li, Yee Yang Tan, Yuting He et al.
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
Xing Qiu, Guang Cheng, Weizhou Zhu et al.
A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics
Jiaxin Qi, Yan Cui, Kailei Guo et al.
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction
Zixiao Kong, Xianquan Wang, Shuanghong Shen et al.
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
Lingxiao Cao, Bin Wang, Guiyuan Jiang et al.
Importance Weighting Can Help Large Language Models Self-Improve
Chunyang Jiang, Chi-Min Chan, Wei Xue et al.
Towards Verifiable Text Generation with Generative Agent
Bin Ji, Huijun Liu, Mingzhe Du et al.
CUGF: A Reliable and Fair Recommendation Framework
Nitin Bisht, Xiuwen Gong, Guandong Xu
CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework
Han Fang, Kejiang Chen, Zijin Yang et al.
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions
Adam Ishay, Joohyung Lee
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa et al.
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Wei Ai, Fuchen Zhang, Yuntao Shou et al.
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
Yuti Liu, Shice Liu, Junyuan Gao et al.
Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst
Shijue Huang, Wanjun Zhong, Deng Cai et al.
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
Guang Huang, Yanan Xiao, Lu Jiang et al.
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Yuqi Liu, Wenqian Zhang, Sihan Ren et al.
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
Zhen Fan, Peng Dai, Zhuo Su et al.
RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks
Ziyi Hu, Jun Liu, Zhongzhi Liu et al.
On the Modelling of Constraints with Tractable Logical Operators
Ruiwei Wang, Roland H. C. Yap
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.
Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking
Hiroshi Unno, Takeshi Tsukada, Jie-Hong Roland Jiang
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
Computationally Hard Problems Are Hard for QBF Proof Systems Too
Agnes Schleitzer, Olaf Beyersdorff
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization
Yishu Liu, Jiawei Zhu, Congcong Wen et al.
The Impact of Literal Sorting on Cardinality Constraint Encodings
Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.
Multi-Branch Self-Drafting for LLM Inference Acceleration
Zipeng Gao, Qingrong Xia, Tong Xu et al.
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
Jianqi Gao, Jian Cao, Ranran Bu et al.
Search Strategy Generation for Branch and Bound Using Genetic Programming
Gwen Maudet, Grégoire Danoy
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Yidi Liu, Dong Li, Jie Xiao et al.
EventPillars: Pillar-based Efficient Representations for Event Data
Rui Fan, Weidong Hao, Juntao Guan et al.
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection
Yifan Feng, Weimin Li, Yue Wang et al.
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Xinyue Fang, Zhen Huang, Zhiliang Tian et al.
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han et al.
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
Zhichao Duan, Tengyu Pan, Zhenyu Li et al.
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.
Breaking Symmetries in Quantified Graph Search: A Comparative Study
Mikoláš Janota, Markus Kirchweger, Tomáš Peitl et al.
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
Yi-Xiang Hu, Feng Wu, Shaoang Li et al.
On Effects of Steering Latent Representation for Large Language Model Unlearning
Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung et al.
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes
Yang Liu, Feng Hou, Yunjie Peng et al.
Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization
Haozhi Fan, Yuan Cao