Artificial Intelligence
Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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1,621 to 1,680 of 15,209
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
Kai Xiong, Xiao Ding, Yixin Cao +2
cs.CLcs.AIarXiv:2305.11595v32023An Experimental Evaluation of Multimodal Prompt Injection Attacks on Agentic AI Frameworks
Viet K. Nguyen, Mohammad I. Husain
cs.CRcs.AIarXiv:2609.09404v12026The Ghost in the Machine has an American accent: value conflict in GPT-3
Rebecca L Johnson, Giada Pistilli, Natalia Menédez-González +4
cs.CLcs.AIarXiv:2203.07785v12022VANTAGE-Bench: Evaluating the Infrastructure AI Gap in Vision-Language Models
Zaid Pervaiz Bhat, Nimra Nayyar, Arihant Jain +6
cs.CVcs.AIarXiv:2609.09396v12026Bag-of-Words Representation for Biomedical Time Series Classification
Jin Wang, Ping Liu, Mary F. H. She +2
cs.LGcs.AIarXiv:1212.2262v12012subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +2
cs.LGcs.AIcs.CRarXiv:1606.08928v12016Auditable Emergency Triage for Maternal and Newborn Care in India
Shobhit Jagga, Aman Dalmia, Niharika Priyadarshini +7
cs.CLcs.AIcs.CYarXiv:2609.09356v12026Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Daniel Guo, Bernardo Avila Pires, Bilal Piot +4
cs.LGcs.AIarXiv:2004.14646v12020Deep Q-learning from Demonstrations
Todd Hester, Matej Vecerik, Olivier Pietquin +11
cs.AIcs.LGarXiv:1704.03732v42017No Free Checker: A Survey of Verifiers for Robot Policies
Yang Wan, Xihang Yue, Zhirui Liu +7
cs.ROcs.AIcs.CVarXiv:2609.09250v12026Ensemble Framework for Cardiovascular Disease Prediction
Achyut Tiwari, Aryan Chugh, Aman Sharma
cs.LGcs.AIarXiv:2306.09989v12023Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Eric Lehman, Sarthak Jain, Karl Pichotta +2
cs.CLcs.AIcs.LGarXiv:2104.07762v22021Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management
Antonino Vaccarella, Lanpei Li, Vincenzo Lomonaco +1
cs.DCcs.AIcs.MAarXiv:2609.09348v12026EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression
Jianfei Yang, Xinyan Chen, Han Zou +3
cs.NIcs.AIcs.HCarXiv:2204.04138v22022Eight Things to Know about Large Language Models
Samuel R. Bowman
cs.CLcs.AIarXiv:2304.00612v12023Improving 5G AI-RAN MCS Selection by Predicting Retransmissions
Tamerlan Aghayev, Maxime Elkael, Michele Polese +5
cs.NIcs.AIarXiv:2609.09324v12026Support Discovery With Iteratively Reweighted Least Squares for Fixed-Charge Network Flow
Sindura Saraswathi, Christian Kümmerle
math.OCcs.AIcs.LGarXiv:2609.09295v12026JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Yiyang Ma, Xingchao Liu, Xiaokang Chen +11
cs.CVcs.AIcs.CLarXiv:2411.07975v22024Voice or Stereotype? Disentangling Acoustic and Content-Based Gender in Speech-to-Speech Models
Xiaoqun Liu, Tanu Mitra, Harshit Rajgarhia +1
cs.SDcs.AIarXiv:2609.09263v12026DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity
Jiaqi Ye, Xinrui Gong, Jingcun Wang +3
cs.LGcs.AIcs.ARarXiv:2609.09254v12026Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding
Yutai Hou, Yijia Liu, Wanxiang Che +1
cs.CLcs.AIarXiv:1807.01554v12018What Fixed-Rollout pass@k Evaluations Can Identify
Pranav Singh, Prashant Singh
stat.MLcs.AIcs.LGarXiv:2609.09245v12026Critical initialization destabilizes higher input derivatives in wide scalar-input networks
Prashant Singh, Pranav Singh
stat.MLcs.AIcs.LGarXiv:2609.09244v12026Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
Johannes Schneider
cs.AIarXiv:2404.09554v12024Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
Himabindu Lakkaraju, Ece Kamar, Rich Caruana +1
cs.AIarXiv:1610.09064v32016In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning
Iliano Fasolino
cs.CRcs.AIcs.CLarXiv:2609.09243v12026Talking to Itself While Coding: What Makes Comments Help Code Generation?
Dangfeng Pan, Zhensu Sun, Cenyuan Zhang +2
cs.SEcs.AIarXiv:2609.09242v12026Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng, Kristy Choi, Jiaming Song +1
cs.LGcs.AIarXiv:2211.00802v22022Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
Ansuman Mullick, Eray Tüzün
cs.AIarXiv:2609.10413v12026Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes, YuXuan Liu, Abhishek Gupta +3
cs.LGcs.AIstat.MLarXiv:1806.02813v12018Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts
Dohyeon Kim, Bedionita Soro, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2609.09241v12026Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution
Albert Atserias, Johannes Klaus Fichte, Marc Thurley
cs.LOcs.AIarXiv:1401.3868v12014Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.LGcs.AIarXiv:2609.09240v12026Adversarial Examples that Fool Detectors
Jiajun Lu, Hussein Sibai, Evan Fabry
cs.CVcs.AIcs.GRarXiv:1712.02494v12017Compute-Bounded Security Assurance - Coverage, Verification, and Response under Resource Constraints
Jithin VG, Ditto PS
cs.CRcs.AIarXiv:2609.09229v12026EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
cs.LGcs.AIarXiv:1807.08364v32018Geometry Conditioning in an Embodied SLM: Training Controls and Robustness Diagnostics in a 0.8B Hybrid Model
Hao Li, Haofei Sun, Lin He
cs.ROcs.AIarXiv:2609.09213v12026AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents
Zhihao Liu, Hongyu Sun, Zhiyuan Fu +7
cs.CRcs.AIcs.CYarXiv:2609.09212v12026JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition
Zixiang Chen, Yuheng Lu, Zihao Cheng +8
cs.AIarXiv:2609.10451v12026ConvMem: Convolutional Memory for Long-Context Reasoning
Hongming Zhang, Zhaozhen Gu, Fengshuo Bai +6
cs.AIcs.CLarXiv:2609.10441v12026THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
Wilbert Pumacay, Ishika Singh, Jiafei Duan +3
cs.ROcs.AIcs.LGarXiv:2402.08191v22024An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1902.01313v22019Reference-Based Bias Detection in LLMs via Relative Representations of Hidden States
Marek Jeliński, Jan Dubiński, Maciej Chrabaszcz +1
cs.AIarXiv:2609.10060v12026RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biases
Yingqian Wu, Jingcong Liang, Siyuan Wang +4
cs.AIcs.CLarXiv:2609.10092v12026OntologyAligner: Ontology-Aligned Retrieval and Hierarchy-Guided Large Language Model Reranking for Biomedical Ontology Normalization
Jie Song, Zhichuan Xu, Ziyu Lu +8
cs.AIcs.CLarXiv:2609.10055v12026From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning
Weichen Dai, Rafael Medeiros Cabral, Ziyi Shou +4
cs.AIcs.CLarXiv:2609.10335v12026SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
Xi Ye, Qiaochu Chen, Isil Dillig +1
cs.CLcs.AIarXiv:2305.09656v32023Language agents achieve superhuman synthesis of scientific knowledge
Michael D. Skarlinski, Sam Cox, Jon M. Laurent +6
cs.CLcs.AIcs.IRarXiv:2409.13740v22024TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards
Rui Sun, Zhan Shi, Bing He
cs.AIcs.LGarXiv:2609.10315v12026What Should an Agent Forget? Separating What Is Stored from What Is Used
Yuhang Li, Yuchen Li
cs.AIarXiv:2609.10263v12026Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context Learning
Mingbo Yang, Wenqiang Wang, Zhaolu Kang +4
cs.AIarXiv:2609.10177v12026DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma +4
cs.AIcs.LGarXiv:2106.06135v12021Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
cs.LGcs.AIcs.ROarXiv:2007.00708v22020Kernel-Managed Shared Memory for System-Wide Personalization
Ryan Lum, Yongfeng Zhang
cs.AIcs.LGarXiv:2609.10144v12026Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts
Shuai Yan, Yang Xu, Shan He
cs.AIcs.LGarXiv:2609.10135v12026Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi +1
math.OCcs.AIcs.LGarXiv:1912.11899v32019Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability
Arnab Chattopadhayay, Debdipta Halder
cs.AIcs.LGcs.ROarXiv:2609.10036v12026Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
Jiamu Bai, Daoyuan Chen, Bingchen Qian +2
cs.CLcs.AIarXiv:2402.11505v22024Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models
Shengye Dong, Haochen Niu, Hao Liu +3
cs.AIcs.ROarXiv:2609.09925v12026Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu, Eric J. Michaud, Max Tegmark
cs.LGcs.AIphysics.data-anarXiv:2210.01117v22022