AAAI 2024

2,864 papers

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

s-ID: Causal Effect Identification in a Sub-population

Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash

Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem

Keyuan Zhang, Zhongdong Liu, Nakjung Choi, Bo Ji

GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time

Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li

Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed

Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park

Generalized Planning in PDDL Domains with Pretrained Large Language Models

Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Kaelbling

Efficient Constraint Generation for Stochastic Shortest Path Problems

Johannes Schmalz, Felipe Trevizan

When CEGAR Meets Regression: A Love Story in Optimal Classical Planning

Martín Pozo, Álvaro Torralba, Carlos Linares Lopez

Generalising Planning Environment Redesign

Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo

Abstract Action Scheduling for Optimal Temporal Planning via OMT

Stefan Panjkovic, Andrea Micheli

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila A. McIlraith, J. Christopher Beck

On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

Songtuan Lin, Conny Olz, Malte Helmert, Pascal Bercher

NaRuto: Automatically Acquiring Planning Models from Narrative Texts

Ruiqi Li, Leyang Cui, Songtuan Lin, Patrik Haslum

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning

Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman

Generalized Planning for the Abstraction and Reasoning Corpus

Chao Lei, Nir Lipovetzky, Krista A. Ehinger

Learning Safe Action Models with Partial Observability

Hai S. Le, Brendan Juba, Roni Stern

Monte Carlo Tree Search in the Presence of Transition Uncertainty

Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaška, Antonín Kučera, Vojtěch Kůr, Vít Musil, Vojtěch Řehák

A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees

Marcus Hoerger, Hanna Kurniawati, Dirk Kroese, Nan Ye

SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge

Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following

Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

Mojtaba Elahi, Jussi Rintanen

Approximate Distance Oracle for Fault-Tolerant Geometric Spanners

Kyungjin Cho, Jihun Shin, Eunjin Oh

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan

Symbolic Numeric Planning with Patterns

Matteo Cardellini, Enrico Giunchiglia, Marco Maratea

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning

Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty, Michael Katz, Sarath Sreedharan

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

The Complexity of Optimizing Atomic Congestion

Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram, Fionn Mc Inerney

Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning

Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala

Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis

Pascal Bachor, Gregor Behnke

Block-Level Goal Recognition Design

Tsz-Chiu Au

Batch Normalization Is Blind to the First and Second Derivatives of the Loss

Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, YueFeng Chen

Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act

Huixin Zhong, Eamonn O'Neill, Janina A. Hoffmann

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales

Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang

High-Fidelity Gradient Inversion in Distributed Learning

Zipeng Ye, Wenjian Luo, Qi Zhou, Yubo Tang

SAME: Sample Reconstruction against Model Extraction Attacks

Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang

U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

Ritwik Vashistha, Arya Farahi

Moral Uncertainty and the Problem of Fanaticism

Jazon Szabo, Natalia Criado, Jose Such, Sanjay Modgil

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties

Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin

Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

Responsibility in Extensive Form Games

Qi SHI

Towards the Robustness of Differentially Private Federated Learning

Tao Qi, Huili Wang, Yongfeng Huang

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong

Does Few-Shot Learning Suffer from Backdoor Attacks?

Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang

MERGE: Fast Private Text Generation

Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang

The Logic of Doxastic Strategies

Junli Jiang, Pavel Naumov

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection

Xiaoyuan Guan, Jiankang Chen, Shenshen Bu, Yuren Zhou, Wei-Shi Zheng

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

Resource Democratization: Is Compute the Binding Constraint on AI Research?

Rebecca Gelles, Veronica Kinoshita, Micah Musser, James Dunham

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning

Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang

Conditional Backdoor Attack via JPEG Compression

Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction

Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng

Quality-Diversity Generative Sampling for Learning with Synthetic Data

Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Matarić, Stefanos Nikolaidis

Video-Context Aligned Transformer for Video Question Answering

Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang

Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling

Xianwei Zhuang, Xuxin Cheng, Yuexian Zou

Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment

Zhihong Zhu, Xuxin Cheng, Yaowei Li, Hongxiang Li, Yuexian Zou

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation

Qiushi Zhu, Jie Zhang, Yu Gu, Yuchen Hu, Lirong Dai

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

Hai Zhu, Qingyang Zhao, Weiwei Shang, Yuren Wu, Kai Liu

MathAttack: Attacking Large Language Models towards Math Solving Ability

Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye

Quantifying and Analyzing Entity-Level Memorization in Large Language Models

Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen, Sen Su

Fine-Grained Distillation for Long Document Retrieval

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang

You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification

Yongqiang Zheng, Xia Li

Layer-Wise Representation Fusion for Compositional Generalization

Yafang Zheng, Lei Lin, Shuangtao Li, Yuxuan Yuan, Zhaohong Lai

FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis

Meizhen Zheng, Peng Bai, Xiaodong Shi, Xun Zhou, Yiting Yan

Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought

Li Zheng, Hao Fei, Fei Li, Bobo Li, Lizi Liao

SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER

Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu

QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis

Xingqiang Zhao, Hai Wan, Kunxun Qi

MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships

Tanglong Zhao, Ruifang He, Jing Xu, Bo Wang

Graph Reasoning Transformers for Knowledge-Aware Question Answering

Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu

Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment

Rui Zhao, Liang Zhang, Biao Fu, Cong Hu, Jinsong Su

ExpeL: LLM Agents Are Experiential Learners

Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-jin Liu

Coreference Graph Guidance for Mind-Map Generation

Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa

StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis

Yu Zhang, Rongjie Huang, Ruiqi Li, Jinzheng He, Yan Xia

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang

A Goal Interaction Graph Planning Framework for Conversational Recommendation

Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection

XiaoHui Zhang, Jiangyan Yi, Chenglong Wang, Chu Yuan Zhang, Siding Zeng

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models

Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun

Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation

Junwei Zhang, Ruifang He, Fengyu Guo, Chang Liu

Visual Hallucination Elevates Speech Recognition

Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment

Congzhi Zhang, Linhai Zhang, Deyu Zhou

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

Chenrui Zhang, Lin Liu, Chuyuan Wang, Xiao Sun, Hongyu Wang

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference

Ziqian Zeng, Yihuai Hong, Hongliang Dai, HUIPING ZHUANG, Cen Chen

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning

Jinshan Zeng, Xianchao Tong, Xianglong Yu, Wenyan Xiao, Qing Huang

Teaching Large Language Models to Translate with Comparison

Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois

TaskLAMA: Probing the Complex Task Understanding of Language Models

Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding

Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

Lang Yu, Qin Chen, Jie Zhou, Liang He

Reliable Data Generation and Selection for Low-Resource Relation Extraction

Junjie Yu, Xing Wang, Wenliang Chen

CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation

Weihao You, Pengcheng Wang, Changlong Li, Zhilong Ji, Jinfeng Bai

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

YoungJoon Yoo, Jongwon Choi