IJCAI 2025

1,280 papers

DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation

Heyuan Zheng, Yunji Liang, Lei Liu, Zhiwen Yu

Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models

Siyang Zhang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li

SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion

Shengpeng Wang, Xin Luo, Yulong Xie, Wei Wang

DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control

Haitao Wang, Hejun Wu

DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement

Xiaoqiang Teng, Chenyang Li, Shibiao Xu, Zhihao Hao, Deke Guo

Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models

Shen Tan, Dong Zhou, Xiangyu Shao, Junqiao Wang, Guanghui Sun

Imitation Learning via Focused Satisficing

Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury

Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes

Jingyi Nie, Liangliang Cai, Qichuan Geng, Zhong Zhou

Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning

Monu Nagar, Debasis Das

GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning

Yingbo Luo, Meibao Yao, Xueming Xiao

Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environments

Kai Di, Tienyu Zuo, Pan Li, Yuanshuang Jiang, Fulin Chen

State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator

Xingyu Chen, Jiayi Xie, Zhijian Xu, Ruixun Liu, Shuai Yang

BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robots

Xinglin Chen, Yishuai Cai, Minglong Li, Yunxin Mao, Zhou Yang

Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model

Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang

Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation

Yifan Zhang, Pascal Bercher

NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models

Junjie Zhang, Canhui Luo, Zhouxing Su, Qingyun Zhang, Zhipeng Lü

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Bin Xu, Yiguan Lin, Yinghao Li, Yang Gao

DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning

Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao

Towards a Unified View of Social Laws with Instantaneous Actions

Alexander Tuisov, Evgeny Mishlyakov, Alexander Shleyfman, Erez Karpas

What Makes You Special? Contrastive Heuristics Based on Qualified Dominance

Rasmus G. Tollund, Kim G. Larsen, Álvaro Torralba

Solving QNP and FOND+ with Generating, Testing and Forbidding

Zheyuan Shi, Hao Dong, Yongmei Liu

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy

Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang

GRAML: Goal Recognition As Metric Learning

Matan Shamir, Reuth Mirsky

A Finite-State Controller Based Offline Solver for Deterministic POMDPs

Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda

Abstraction Heuristics for Classical Planning Tasks with Conditional Effects

Martín Pozo, Jendrik Seipp

An Approach to Quantify Plans Robustness in Real-world Applications

Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg, Mauro Vallati

Preference-based Deep Reinforcement Learning for Historical Route Estimation

Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge

Proactive Data-driven Scheduling of Business Processes

Francesca Meneghello, Arik Senderovich, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini

RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition

Xiao Liu, Guan Yuan, Yanmei Zhang, Shang Liu, Qiuyan Yan

Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency

Ruixiao Li, Fahao Chen, Peng Li

Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storage

Richard Levinson, Vinay Ravindra, Sreeja Roy-Singh

Partially Observable Reference Policy Programming

Edward Kim, Hanna Kurniawati

Interval Selection with Binary Predictions

Christodoulos Karavasilis

Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs

Maris F. L. Galesloot, Roman Andriushchenko, Milan Ceska, Sebastian Junges, Nils Jansen

Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths

Stefan Funke, Daniel Koch, Claudius Proissl, Christian Staib, Felix Weitbrecht

Improvements to the Generate-and-Complete Approach to Conformant Planning

Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen

Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives

Giuseppe De Giacomo, Yong Li, Sven Schewe, Christoph Weinhuber, Pian Yu

Concurrent Planning and Execution Using Dispatch-Dependent Values

Andrew Coles, Erez Karpas, Eyal Shimony, Shahaf Shperberg, Wheeler Ruml

Rolling in Classical Planning with Conditional Effects and Constraints

Matteo Cardellini, Enrico Giunchiglia

Online Planning in MDPs with Stochastic Durative Actions

Tal Berman, Ronen I. Brafman, Erez Karpas

Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions

Ángel Aso-Mollar, Diego Aineto, Enrico Scala, Eva Onaindia

LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces

Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Moshe Y. Vardi

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning

Michael Aichmüller, Hector Geffner

Dynamic Replanning for Improved Public Transport Routing

Abdallah Abuaisha, Bojie Shen, Daniel D. Harabor, Peter J. Stuckey, Mark Wallace

Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning

Zhengzhong Zhu, Pei Zhou, Zeting Li, Kejiang Chen, Jiangping Zhu

Learning Causally Disentangled Representations for Fair Personality Detection

Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li

EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs

Wenhao Zhu, Yuhang Xie, Guojie Song, Xin Zhang

Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis

Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao

EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness

Yunxiao Zhang, Guanming Xiong, Haochen Li, Wen Zhao

Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models

Yang Zhang, Yu Yu, Bo Tang, Yu Zhu, Chuxiong Sun

DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning

Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li

Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis

Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou

D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning

Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-wen Yang

WenyanGPT: A Large Language Model for Classical Chinese Tasks

Xinyu Yao, Mengdi Wang, Bo Chen, Xiaobing Zhao

Beyond Fixed Length: Bucket Pre-training is All You Need

Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin

Can We Verify Step by Step for Incorrect Answer Detection?

Xin Xu, SHIZHE DIAO, Can Yang, Yang Wang

ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction

Huangming Xu, Fu Zhang, Jingwei Cheng, Xin Li

Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support

Bo Xu, Liangzhi Li, Junlong Wang, Xuening Qiao, Erchen Yu

SetKE: Knowledge Editing for Knowledge Elements Overlap

Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li

Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework

Xiao Wei, Xiaobao Wang, Ning Zhuang, Chenyang Wang, Longbiao Wang

MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching

Mingrun Wei, Yeyu Yan, Dong Wang

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance

Yufeng Wang, Jinwu Hu, Ziteng Huang, Kunyang Lin, Zitian Zhang

Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration

Peng Wang, Shuo Li, Ruoxi Zhou, Qiguang Chen, Xiao Xu

DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis

Chen Tang, Tingrui Shen, Xinrong Gong, Chong Zhao, Tong Zhang

Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis

Dominic Simon, Rickard Ewetz

R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases

Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction

Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information

Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo

SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation

Zhaoxi Mu, Xinyu Yang, Gang Wang

Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty

Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo

KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities

Chengcheng Mai, Yuxiang Wang, ZIYU GONG, Hanxiang Wang, Yihua Huang

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction

Xinhe Li, Jiajun Liu, Peng Wang

Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation

Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction

Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao

Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model

Mingxin Li, Wenhao Wang, Hongru Ji, Xianghua Li, Chao Gao

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation

Jie Li, Shifei Ding, Lili Guo, Xuan Li

Learning Neural Vocoder from Range-Null Space Decomposition

Andong Li, Tong Lei, Zhihang Sun, Rilin Chen, Erwei Yin

BridgeVoC: Neural Vocoder with Schrödinger Bridge

Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing LU

Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant

Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback

Manzong Huang, Chenyang Bu, Yi He, Xindong Wu

Efficient Dynamic Ensembling for Multiple LLM Experts

Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen

TreeKV: Smooth Key-Value Cache Compression with Tree Structures

Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection

Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training

Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang

Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning

Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu

SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph

Fanghao Fan, Yingjie Xia, Li Kuang

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction

Cunhang Fan, Ying Chen, Jian Zhou, Zexu Pan, Jingjing Zhang

ChronoFact: Timeline-based Temporal Fact Verification

Anab Maulana Barik, Wynne Hsu, Mong Li Lee

Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization

Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Jiang Zong

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning

Ye Zhu, Yunan Wang, Zitong Yu

DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis

Tianren Zhou, Zhenge Jia, Dongxiao Yu, Zhaoyan Shen

DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation

Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song

Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform

Jianhou Zhou, Xiaolong Zhou, Sixian Chan, Zhaomin Chen, Xiaoqin Zhang

Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving

Bingzhe Zhou, Hannan Wang, Yuan Yao, Taolue Chen, Feng Xu

MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation

Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

Jiaqi Zheng, Qing Ling, Yerong Feng

Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach

Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng

Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection

Tianlin Zhang, En Yu, Yi Shao, Jiande Sun

Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning

Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li