Most Cited AAAI "image-based 3d generation" Papers

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.

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse

Zijian Tao, Shao-Yuan Li, Wenhai Wan et al.

Exploring the Relationship Between Samples and Masks for Robust Defect Localization

Jiang Lin, Hui Xue, Fanxiu Sun et al.

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting

Changyuan Tian, Zhicong Lu, Zequn Zhang 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.

Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework

Xun Liang, Zhiying Li, Hongxun Jiang

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels

Pengbo Li, Hang Yu, Xiangfeng Luo

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.

Reducing Divergence in Batch Normalization for Domain Adaptation

Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen

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.

Treasures in Discarded Weights for LLM Quantization

Hao Yu, Yang Zhou, Bohua Chen et al.

FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks

Kairong Yu, Tianqing Zhang, Hongwei Wang et al.

AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation

Zhidong Yu, Xiaoman Liu, Jiajun Hu et al.

Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation

Zhiqi Yu, Zhichao Liao, Jingjing Li et al.

Contrastive Representation for Interactive Recommendation

Jingyu Li, Zhiyong Feng, Dongxiao He et al.

Class Semantic Attribute Perception Guided Zero-Shot Learning

Qin Yue, Junbiao Cui, Jianqing Liang et al.

WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning

Jia Zeng, Lan Huang, Kangping Wang

SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution

Xiaotong Luo, Yuan Xie, Yanyun Qu 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.

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

Max-Mahalanobis Anchors Guidance for Multi-View Clustering

Pei Zhang, Yuangang Pan, Siwei Wang 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.

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli et al.

HVAdam: A Full-Dimension Adaptive Optimizer

Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu et al.

LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation

Yumin Zhang, Haoran Duan, Rui Sun et al.

Mixture of Experts as Representation Learner for Deep Multi-View Clustering

Yunhe Zhang, Jinyu Cai, Zhihao Wu 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.

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou et al.

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method

Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin et al.

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization

Weibo Zhao, Yubin Shi, Xinyu Lyu 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

MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition

Yan Zhong, Zhixin Yan, Yi Xie et al.

Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations

Ao Zhou, Bin Liu, Jin Wang et al.

Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval

Mingjin Kuai, Jun Long, Zhan Yang

Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation

Qi Bi, Shaodi You, Theo Gevers

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

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Yaxuan Kong, Zepu Wang, Yuqi Nie et al.

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

Yi Rong, Haoran Zhou, Lixin Yuan et al.

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL

Yihe Zhou, Yuxuan Zheng, Yue Hu et al.

Image-to-video Adaptation with Outlier Modeling and Robust Self-learning

Junbao Zhuo, Shuhui Wang, Zhenghan Chen et al.

Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination

Lingdu Kong, Xiaochun Yang, Tieying Li et al.

GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions

Heda Zuo, Weitao You, Junxian Wu 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.

Solving Multiagent Path Finding on Highly Centralized Networks

Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan 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.

Unsupervised Translation of Emergent Communication

Ido Levy, Orr Paradise, Boaz Carmeli 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

ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems

Taeho Kim, Hyeongjun Jang, Juwon Yu et al.

A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation

Redha Taguelmimt, Samir Aknine, Djamila Boukredera et al.

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship

Junfeng Kang, Rui Li, Qi Liu et al.

Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding

Mingyue Zhang, Nianyu Li, Yi Chen et al.

HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks

Jia Jinghong, Lei Song, Jiaxing Li et al.

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.

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.

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.

Time Series Supplier Allocation via Deep Black-Litterman Model

Xinke Jiang, Wentao Zhang, Yuchen Fang et al.

XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning

Linzheng Chai, Jian Yang, Tao Sun et al.

Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter

Junhao Chen, Bowen Wang, Zhouqiang Jiang et al.

Multiplex Graph Representation Learning with Homophily and Consistency

Yudi Huang, Ci Nie, Hongqing He et al.

Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning

Minping Chen, You-Liang Huang, Zeyi Wen

Attributive Reasoning for Hallucination Diagnosis of Large Language Models

Yuyan Chen, Zehao Li, Shuangjie You et al.

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation

Jun Hu, Bryan Hooi, Bingsheng He et al.

MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction

Dongsheng Hong, Chao Chen, Xujia Li et al.

On Effects of Steering Latent Representation for Large Language Model Unlearning

Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung et al.

Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction

Mohan Gao, Kexin Xu, Xiaofeng Gao et al.

Modeling Latent Non-Linear Dynamical System over Time Series

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation

Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.

COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction

Zhichao Duan, Tengyu Pan, Zhenyu Li et al.

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding

Wenjia Geng, Yong Liu, Lei Chen et al.

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

Xinyue Fang, Zhen Huang, Zhiliang Tian et al.

Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection

Yifan Feng, Weimin Li, Yue Wang et al.

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Cao, Ranran Bu et al.

Global Attribute-Association Pattern Aggregation for Graph Fraud Detection

Mingjiang Duan, Da He, Tongya Zheng et al.

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation

Yingpeng Du, Zhu Sun, Ziyan Wang et al.

Multi-Branch Self-Drafting for LLM Inference Acceleration

Zipeng Gao, Qingrong Xia, Tong Xu et al.

On Finding Hubs in High Dimensions with Sampling

Huiwen Dong, Linghan Zeng, Zhiwen Zhao et al.

DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis

Zhixin Han, Mengting Hu, Yinhao Bai et al.

Foundations of Reactive Synthesis for Declarative Process Specifications

Andrey Rivkin, Luca Geatti, Marco Montali

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion

Ling Ding, Lei Huang, Zhizhi Yu et al.

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.

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks

Ziyi Hu, Jun Liu, Zhongzhi Liu 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.

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst

Shijue Huang, Wanjun Zhong, Deng Cai et al.

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.

A Video-grounded Dialogue Dataset and Metric for Event-driven Activities

Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa et al.

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions

Adam Ishay, Joohyung Lee

Towards Verifiable Text Generation with Generative Agent

Bin Ji, Huijun Liu, Mingzhe Du et al.

Importance Weighting Can Help Large Language Models Self-Improve

Chunyang Jiang, Chi-Min Chan, Wei Xue et al.

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu et al.

ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction

Zixiao Kong, Xianquan Wang, Shuanghong Shen et al.

EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion

Pengxiang Lan, Enneng Yang, Yuting Liu 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

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu 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.

KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits

Xia Li, Wenjing Pan

Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting

Lingxiao Cao, Bin Wang, Guiyuan Jiang et al.

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback

Yongqi Li, Xin Miao, Shen Zhou et al.

Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing

Zhuoran Li, Chunming Hu, Junfan Chen et al.

CUGF: A Reliable and Fair Recommendation Framework

Nitin Bisht, Xiuwen Gong, Guandong Xu

Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis

Qi Lian, Yu Qi, Yueming Wang

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.

Augmenting Math Word Problems via Iterative Question Composing

Haoxiong Liu, Yifan Zhang, Yifan Luo et al.

VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning

Sannyuya Liu, Jintian Feng, Xiaoxuan Shen et al.

Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum

Wei Ai, Fuchen Zhang, Yuntao Shou et al.

Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?

Yang Liu, Xiaoping Wang, Kai Lu

PAT: Pruning-Aware Tuning for Large Language Models

Yijiang Liu, Huanrui Yang, Youxin Chen et al.

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition

Zesheng Liu, Qiannan Zhu, Cuiping Li et al.

Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems

Jitao Xu, Yaling Wu, Hongbo Li et al.

On the Modelling of Constraints with Tractable Logical Operators

Ruiwei Wang, Roland H. C. Yap

CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark

Marcus Ma, Duong Minh Le, Junmo Kang et al.

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning

Zhiyuan Ma, Zhenya Huang, Jiayu Liu et al.

Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking

Hiroshi Unno, Takeshi Tsukada, Jie-Hong Roland Jiang

Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers

Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue et al.

A Compact Model for Mathematics Problem Representations Distilled from BERT

Hao Ming, Xinguo Yu, Xiaotian Cheng et al.

‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation

Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati

Evaluating LLM Reasoning in the Operations Research Domain with ORQA

Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash et al.

Tensorized Attention for Understanding Multi-Object Relationships

Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka 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.

Computationally Hard Problems Are Hard for QBF Proof Systems Too

Agnes Schleitzer, Olaf Beyersdorff

GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs

Maizhen Ning, Zihao Zhou, Qiufeng Wang et al.

Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation

Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.

Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems

Atsumoto Ohashi, Ryuichiro Higashinaka

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment

Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.

The Impact of Literal Sorting on Cardinality Constraint Encodings

Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.

Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing

Shanbao Qiao, Xuebing Liu, Seung-Hoon Na

Search Strategy Generation for Branch and Bound Using Genetic Programming

Gwen Maudet, Grégoire Danoy

A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic

Fuqi Jia, Yuhang Dong, Rui Han et al.

Hansel: Output Length Controlling Framework for Large Language Models

Seoha Song, Junhyun Lee, Hyeonmok Ko

Interweaving Memories of a Siamese Large Language Model

Xin Song, Zhikai Xue, Guoxiu He 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.

VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification

Kai Sun, Hao Wu, Bin Shi et al.

Transformer Layers as Painters

Qi Sun, Marc Pickett, Aakash Kumar Nain et al.

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language

Zhaoyue Sun, Jiazheng Li, Gabriele Pergola et al.

A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation

Shiyu Tian, Shuyue Xing, Xingrui Li et al.

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui et al.

LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning

Ante Wang, Linfeng Song, Ye Tian et al.

Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs

Guoqing Wang, Wen Wu, Guangze Ye et al.

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling

Jieyi Wang, Yue Huang, Zeming Liu et al.

SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models

Linqin Wang, Yaping Liu, Zhengtao Yu et al.

Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization

Linyong Wang, Lianwei Wu, Shaoqi Song et al.

McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension

Tongguan Wang, Mingmin Wu, Guixin Su et al.

Proof Simulation via Round-based Strategy Extraction for QBF

Leroy Chew

Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning

Yujing Wang, Hainan Zhang, Sijia Wen et al.

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

Zhensheng Wang, Wenmian Yang, Kun Zhou et al.

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.

Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing

William Watson, Nicole Cho, Nishan Srishankar

GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC

Xingdi Chen, Kai Yang

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs

Jiaxing Wu, Lin Ning, Luyang Liu et al.

Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation

Xin Wu, Yuqi Bu, Yifei Chen et al.

Explicitly Guided Difficulty-Controllable Visual Question Generation

Jiayuan Xie, Mengqiu Cheng, Xinting Zhang 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.

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning

Swann Bessa, Darius Dabert, Max Bourgeat et al.

Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators

Dingkang Yang, Dongling Xiao, Jinjie Wei et al.

L-Man: A Large Multi-modal Model Unifying Human-centric Tasks

Jialong Zuo, Ying Nie, Tianyu Guo et al.

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction

Pufan Zou, Shijia Zhao, Weijie Huang et al.

Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning

Zhenfeng Zhuang, Min Cen, Yanfeng Li et al.

ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming

Jiedong Zhuang, Lu Lu, Ming Dai et al.

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction

Jingheng Ye, Shang Qin, Yinghui Li et al.

Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization

Xuekang Zhu, Xiaochen Ma, Lei Su et al.

Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training

Ji Won Yoon

Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space

Xingyu Zhu, Guanhui Ye, Chengdong Dong et al.

QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead

Amir Zandieh, Majid Daliri, Insu Han