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IJCAI 2024

1,048 papers

Robust Reward Placement under Uncertainty

Petros Petsinis, Kaichen Zhang, Andreas Pavlogiannis, Jingbo Zhou, Panagiotis Karras

On Using Admissible Bounds for Learning Forward Search Heuristics

Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernandez-Olivares

ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints

Robert J. Moss, Arec Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer

Approximate Dec-POMDP Solving Using Multi-Agent A*

Wietze Koops, Sebastian Junges, Nils Jansen

Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains

Till Hofmann, Hector Geffner

Guiding GBFS through Learned Pairwise Rankings

Mingyu Hao, Felipe Trevizan, Sylvie Thiébaux, Patrick Ferber, Jorg Hoffmann

Scalable Ultrafast Almost-optimal Euclidean Shortest Paths

Stefan Funke, Daniel Koch, Claudius Proissl, Axel Schneewind, Armin Weiß

Solving Long-run Average Reward Robust MDPs via Stochastic Games

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Petr Novotný, Đorđe Žikelić

Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs

Eline M. Bovy, Marnix Suilen, Sebastian Junges, Nils Jansen

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing

Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu

Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive Learning

Linlin Zhu, Heli Sun, Qunshu Gao, Tingzhou Yi, Liang He

MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge

Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu

Making LLMs as Fine-Grained Relation Extraction Data Augmentor

Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao

Generate Synthetic Text Approximating the Private Distribution with Differential Privacy

Wenhao Zhao, Shaoyang Song, Chunlai Zhou

KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering

Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu

InstructEdit: Instruction-Based Knowledge Editing for Large Language Models

Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu

Modeling Selective Feature Attention for Lightweight Text Matching

Jianxiang Zang, Hui LIU

Learning Label Dependencies for Visual Information Extraction

MingHong Yao, Liansheng Zhuang, Houqiang Li, Jiuchang Wei

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation

Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao

Incorporating Schema-Aware Description into Document-Level Event Extraction

Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu

TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks

Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong

It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models

Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang

Attention Based Document-level Relation Extraction with None Class Ranking Loss

Xiaolong Xu, Chenbin Li, Haolong Xiang, Lianyong Qi, Xuyun Zhang

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process

Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis

Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan

Unified Evidence Enhancement Inference Framework for Fake News Detection

Lianwei Wu, Linyong Wang, Yongqiang Zhao

Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation

Jingxuan Wei, Linzhuang Sun, Yichong Leng, Xu Tan, Bihui Yu

Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling

Ziao Wang, Xiaofeng Zhang, Hongwei Du

Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension

Yi Wang, Qidong Zhao, Dongkuan Xu, Xu Liu

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli

Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu

Two-stage Semi-supervised Speaker Recognition with Gated Label Learning

Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu

Correct and Optimal: The Regular Expression Inference Challenge

Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger

Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language Models

Yixuan Tang, Anthony K. H. Tung

Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding

Libo Qin, Qiguang Chen, Jingxuan Zhou, Qinzheng Li, Chunlin Lu

Memorizing Documents with Guidance in Large Language Models

Bumjin Park, Jaesik Choi

Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement

Jiahui Pan, Pengjie Shen, Hui Zhang, Xueliang Zhang

Contrastive Representation Learning for Self-Supervised Taxonomy Completion

Yuhang Niu, Hongyuan Xu, Ciyi Liu, Yanlong Wen, Xiaojie Yuan

ScreenAgent: A Vision Language Model-driven Computer Control Agent

Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu

Putting Back the Stops: Integrating Syntax with Neural Topic Models

Mayank Nagda, Sophie Fellenz

Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction

Zhaoxi Mu, Xinyu Yang

Span-based Unified Named Entity Recognition Framework via Contrastive Learning

Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yu-Ming Shang, Xiaoyan Gao

Prompt-enhanced Network for Hateful Meme Classification

Junxi Liu, Yanyan Feng, Jiehai Chen, Yun Xue, Fenghuan Li

Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching

Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo

LocMoE: A Low-overhead MoE for Large Language Model Training

Jing Li, Zhijie Sun, Xuan He, Li Zeng, Yi Lin

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction

Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji

Empirical Analysis of Dialogue Relation Extraction with Large Language Models

Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors

Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji

Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning

Fangjun Li, David C. Hogg, Anthony G. Cohn

Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model

Wentao Lei, Li Liu, Jun Wang

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs

Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim

Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification

Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu

Natural Language Decomposition and Interpretation of Complex Utterances

Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas

GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models

Serwan Jassim, Mario Holubar, Annika Richter, Cornelius Wolff, Xenia Ohmer

ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains

Zhaopei Huang, Jinming Zhao, Qin Jin

ADELT: Transpilation between Deep Learning Frameworks

Linyuan Gong, Jiayi Wang, Alvin Cheung

Large Language Models Are Not Strong Abstract Reasoners

Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue

Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie

Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition

Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen

MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question Answering

Yihao Ding, Kaixuan Ren, Jiabin Huang, Siwen Luo, Soyeon Caren Han

Generating More Audios for End-to-End Spoken Language Understanding

Xuxin Cheng, Yuexian Zou

Continual Multimodal Knowledge Graph Construction

Xiang Chen, Jingtian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang

PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure

Feiqi Cao, Soyeon Caren Han, Hyunsuk Chung

Towards Automatic Composition of ASP Programs from Natural Language Specifications

Manuel Borroto Santana, Irfan Kareem, Francesco Ricca

SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution

Dibyanayan Bandyopadhyay, Asmit Ganguly, Baban Gain, Asif Ekbal

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization

Gunjan Balde, Soumyadeep Roy, Mainack Mondal, Niloy Ganguly

Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target

Zitong Zhang, Yang Liu, Hao Sun

Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction

KeXin Zhang, Feng Huang, Luotao Liu, Zhankun Xiong, Hongyu Zhang

A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming

Guanghui Zhang, Jing Guo

Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data

Yuyao Zhai, Liang Chen, Minghua Deng

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling

Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang

Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond

Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen

RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction

Quanzhou Xiang, Zhan Chen, Qi Sun, Rujun Jiang

An Image-enhanced Molecular Graph Representation Learning Framework

Hongxin Xiang, Shuting Jin, Jun Xia, man zhou, Jianmin Wang

Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking

Zhi Wu, Dongheng Zhang, Zixin Shang, Yuqin Yuan, Hanqin Gong

Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics

Xiaoshuai Wu, Xin Liao, Bo Ou, Yuling Liu, Zheng Qin

A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation

Fang Wu

ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment

Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement

Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

Zhiwei Wang, Yongkang Wang, Wen Zhang

BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation

Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu

Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction

Hyunwoo Sohn, Kyungjin Park, Baekkwan Park, Min Chi

Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization

Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam

SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports

Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey

MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning

Hui Niu, Siyuan Li, Jian Li

IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making

Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An

Searching for Programmatic Policies in Semantic Spaces

Rubens O. Moraes, Levi H. S. Lelis

Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations

Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao

Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method

Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang

Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning

Yuxing Lu, Weichen Zhao, Nan Sun, Jinzhuo Wang

SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation

Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving

Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments

Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong

OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images

Yang Li, Qiuyi Huang, Chong Zhong, Danjuan Yang, Meiyan Li

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases

Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang

Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments

Liu Jiaqi, Jiaxu Cui, Jiayi Yang, Bo Yang

Privacy-Preserving UCB Decision Process Verification via zk-SNARKs

Xikun Jiang, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder

Vertical Symbolic Regression via Deep Policy Gradient

Nan Jiang, Md Nasim, Yexiang Xue

ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification

Ziyu Jia, Xihao Yang, Chenyang Zhou, Haoyang Deng, Tianzi Jiang

Personalized Heart Disease Detection via ECG Digital Twin Generation

Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan