AAAI 2025

3,486 papers

LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI

Gavin Witsken, Igor Crk, Eren Gultepe

MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models

Fenghua Weng, Yue Xu, Chengyan Fu, Wenjie Wang

Towards a Theory of AI Personhood

Francis Rhys Ward

ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning

Jingwen Wang, Dehui Du, Lili Tian, Yikang Chen, Yida Li

Can Go AIs Be Adversarially Robust?

Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave

Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment

Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi

Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization

Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang

Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting

Joar Max Viktor Skalse, Alessandro Abate

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour

SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy

ME: Modelling Ethical Values for Value Alignment

Eryn Rigley, Adriane Chapman, Christine Evers, Will McNeill

SEAL: Systematic Error Analysis for Value ALignment

Manon Revel, Matteo Cargnelutti, Tyna Eloundou, Greg Leppert

Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment

Lukas-Santo Puglisi, Fabio Valdés, Jakob Johannes Metzger

Increased Compute Efficiency and the Diffusion of AI Capabilities

Konstantin F. Pilz, Lennart Heim, Nicholas Brown

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems

Pierre Peigné, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier

Do Transformer Interpretability Methods Transfer to RNNs?

Gonçalo Paulo, Thomas Marshall, Nora Belrose

Is Poisoning a Real Threat to DPO? Maybe More So Than You Think

Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints

Jonathan Nöther, Adish Singla, Goran Radanovic

Neural Continuous-Time Supermartingale Certificates

Grigory Neustroev, Mirco Giacobbe, Anna Lukina

SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine

Sadanand Modak, Noah Tobias Patton, Isil Dillig, Joydeep Biswas

MAPLE: A Framework for Active Preference Learning Guided by Large Language Models

Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein

Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling

Xingzhou Lou, Junge Zhang, jian xie, Lifeng Liu, Dong Yan

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction

Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang

Bias Unveiled: Investigating Social Bias in LLM-Generated Code

Lin Ling, Fazle Rabbi, Song Wang, Jinqiu Yang

Data with High and Consistent Preference Difference Are Better for Reward Model

Qi Lin, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Huixing Jiang

Single Character Perturbations Break LLM Alignment

Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh

Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception

Wenhao Liao, Sineng Yan, Youqian Zhang, Xinwei Zhai, Yuanyuan Wang

Exploring Intrinsic Alignments Within Text Corpus

Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang

Retention Score: Quantifying Jailbreak Risks for Vision Language Models

ZAITANG LI, Pin-Yu Chen, Tsung-Yi Ho

Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization

Yongqi Li, xin miao, Mayi Xu, Tieyun Qian

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update

Qing Li, Jiahui Geng, Derui Zhu, Zongxiong Chen, Kun Song

JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs

Hongyi Li, Jiawei Ye, Jie Wu, Tianjie Yan, Chu Wang

Debate Helps Weak-to-Strong Generalization

Hao Lang, Fei Huang, Yongbin Li

Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives

Abhishek Ninad Kulkarni, Jie Fu, Ufuk Topcu

Maximizing Signal in Human-Model Preference Alignment

Kelsey Kraus, Margaret Kroll

Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification

Panagiotis Kouvaros, Benedikt Brückner, Patrick Henriksen, Alessio Lomuscio

On the Consideration of AI Openness: Can Good Intent Be Abused?

Yeeun Kim, Hyunseo Shin, Eunkyung Choi, Hongseok Oh, Hyunjun Kim

Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment

Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen

Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification

Konstantin Kaulen, Matthias König, Holger H. Hoos

ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran

Joint Scoring Rules: Competition Between Agents Avoids Performative Prediction

Rubi Hudson

Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models

Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho

Robust Multi-Objective Preference Alignment with Online DPO

Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi

UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models

Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar Vullikanti

The Partially Observable Off-Switch Game

Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li

SMLE: Safe Machine Learning via Embedded Overapproximation

Matteo Francobaldi, Michele Lombardi

LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets

Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang

Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning

Karl Elbakian, Samuel Carton

Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution

Carlos Eiras-Franco, Anna Hedström, Marina M.-C. Höhne

In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search

Emir Demirović, Christian Schilling, Anna Lukina

Searching for Unfairness in Algorithms’ Outputs: Novel Tests and Insights

Ian Davidson, S. S. Ravi

Political Bias Prediction Models Focus on Source Cues, Not Semantics

Selin Chun, Daejin Choi, Taekyoung Kwon

Risk Controlled Image Retrieval

Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang

Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels

Benedikt Brückner, Alessio Lomuscio

Scaling Trends for Data Poisoning in LLMs

Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave

Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards

Michaela Benk, Léane Wettstein, Nadine Schlicker, Florian von Wangenheim, Nicolas Scharowski

SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models

Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee

DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem

Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin

Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization

Ruihao Zheng, Zhenkun Wang

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models

Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang

Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis

Furong Ye, Chuan Luo, Shaowei Cai

Multi-Objective Evolution of Heuristic Using Large Language Model

Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation

Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations

Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao

DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces

Jacob F. Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel faissol

A Many-Objective Problem Where Crossover Is Provably Indispensable

Andre Opris

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization

Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do, Cong Tran, Cuong Pham

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction

Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu

DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment

Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models

Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang

Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game

Per Kristian Lehre, Shishen Lin

Anchor Search: A Unified Framework for Suboptimal Bidirectional Search

Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant

Searching for and Avoiding Hidden Sets Using Queries with Local Feedback

Tomasz Jurdzinski, Dariusz R. Kowalski

Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation

Chao Jiang, Miqing Li

Faster Double Adaptive Gradient Methods

Feihu Huang, Yuning Luo

Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels

Wenjing Hong

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs

Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran

Suboptimal Search with Dynamic Distribution of Suboptimality

Mohammadreza Hami, Nathan R. Sturtevant

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning

Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao

Improved Bounds for Online Facility Location with Predictions

Dimitris Fotakis, Evangelia Gergatsouli, Themistoklis Gouleakis, Nikolas Patris, Thanos Tolias

Speeding Up the NSGA-II with a Simple Tie-Breaking Rule

Benjamin Doerr, Tudor Ivan, Martin S. Krejca

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces

Benjamin Doerr, Martin S. Krejca, Günter Rudolph

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time

Tom Davot, Jessica Enright, Jayakrishnan Madathil, Kitty Meeks

HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh

Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition

Dogan Corus, Pietro S. Oliveto, Donya Yazdani

Fast and Slow Gradient Approximation for Binary Neural Network Optimization

Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo

An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem

Baiyu Chen, Junwen Ding, Canhui Luo, Qingyun Zhang, Zhouxing Su

Scenario-Based Robust Optimization of Tree Structures

Spyros Angelopoulos, Christoph Dürr, Alex Elenter, Georgii Melidi

Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs

Shinwoo An, Yeonsu Chang, Kyungjin Cho, O-Joung Kwon, Myounghwan Lee

Resource Constrained Pathfinding with Enhanced Bidirectional A* Search

Saman Ahmadi, Andrea Raith, Guido Tack, Mahdi Jalili

DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data

Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen

Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects

Hisayoshi Nanmo, manabu kuroki

Counterfactual Identification Under Monotonicity Constraints

Aurghya Maiti, Drago Plecko, Elias Bareinboim

Flow Factorization for Efficient Generative Flow Networks

Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai

Mediation Analysis for Probabilities of Causation

Yuta Kawakami, Jin Tian

Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies

Hyunchai Jeong, Adiba Ejaz, Jin Tian, Elias Bareinboim