Check computer science papers: citations, claims and retractions

LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection

Zhao, L., Bhaskar, A., & Dobriban, E. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries

Vodrahalli, K., Ontanon, S., Tripuraneni, N., Xu, K., Jain, S., Shivanna, R., Hui, J., Dikkala, N., Kazemi, M., Fatemi, B., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents

Zhu, W., Chen, X., Wang, Z., Wang, J., Dong, X., Huang, M., Cai, R., Sang, H., Wang, H., Qiu, P., et al. (2026) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 0

MemX: A Local-First Long-Term Memory System for AI Assistants

Sun, L. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

The Consensus Game: Language Model Generation via Equilibrium Search

Jacob, A. P., Shen, Y., Farina, G., & Andreas, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Can LLMs Self-Correct Table Reasoning Errors?

Shaikh, F. (2026) · Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)

Topic ModelingNatural Language Processing Techniques

Cited by 0

MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents

Dai, Y., Hu, H., Wang, L., Jin, S., Chen, X., & Lu, Z. (2024) · arXiv

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 0

TwinMem-Agent: Episodic and Semantic Memory for Repository-Level Program Repair

Wu, B., Luo, Z., Mu, F., & Xiang, L. (2026) · Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation

Kapoor, S., Stroebl, B., Kirgis, P., Nadgir, N., Siegel, Z. S., Wei, B., Xue, T., Chen, Z., Chen, F., Utpala, S., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Unsupervised Elicitation of Language Models

Wen, J., Ankner, Z., Somani, A., Hase, P., Marks, S., Goldman-Wetzler, J., Petrini, L., Sleight, H., Burns, C., He, H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Firewalls to Secure Dynamic LLM Agentic Networks

Abdelnabi, S., Gomaa, A., Bagdasarian, E., Kristensson, P. O., & Shokri, R. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

AgentSHAP: Interpreting LLM Agent Tool Importance with Monte Carlo Shapley Value Estimation

Horovicz, M. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 0

Using Generative AI in Higher Programming Education: An Empirical Evaluation

Grewe, D., Vedislav, R.-M., & Scherz, W. (2026) · Proceedings of the 18th International Conference on Computer Supported Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 0

Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents

Alake, R., Bernardis, C., Cayet, P., Engel, L., Hilloulin, D., Hong, S., Hosler, A., Kavantzas, N., Kossyk, I., Le, S., et al. (2026) · arXiv

Advanced Database Systems and QueriesAI-based Problem Solving and Planning

Cited by 0

Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven Systems

Barbaste, P., Darrigol, T., Vu, G., & Wiltberger, T. (2026) · arXiv

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 0

MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement

Core Team, Qiao, Z., Hua, Z., Ou, Z., Yue, Z., Jiang, Z., Huang, Z., Chen, Z., Zheng, Z., Xu, Z., et al. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

On fine-tuning Boltz-2 for protein-protein affinity prediction

King, J., Cornwall, L., Nica, A. C., Day, J., Sim, A., Dalchau, N., Wollman, L., & Meyers, J. (2025) · arXiv

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 0

Benchmarking LLMs in an Embodied Environment for Blue Team Threat Hunting

Liu, X., Yu, F., Li, X., Yan, G., Yang, P., & Xi, Z. (2025) · arXiv

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 0

SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks

Orlanski, G., Roy, D., Yun, A., Shin, C., Gu, A., Ge, A., Adila, D., Roberts, N., Sala, F., & Albarghouthi, A. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Who Does What? Work Division and Allocation Strategies of Computer Science Student Teams

van der Meulen, A., & Aivaloglou, E. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 0

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving

Guo, Y., & Joshi, S. (2026) · arXiv

Parallel Computing and Optimization TechniquesAlgorithms and Data Compression

Cited by 0

ProgramBench: Can Language Models Rebuild Programs From Scratch?

Yang, J., Lieret, K., Ma, J., Thakkar, P., Pedchenko, D., Sootla, S., McMilin, E., Yin, P., Hou, R., Synnaeve, G., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Accurate and Efficient Long-Term Memory for LLM Agents

Zhao, Z., Guo, X., Lv, L., Wang, M., Li, M., & Li, S. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Case Report: Tailored automatic speech recognition in global aphasia with dysarthria - a single case proof of concept

Mulfari, D., Cardile, D., Campana, S., Voci, L., Vicario, C. M., Calabrò, R. S., Corallo, F., Mulfari, S., & Tomaiuolo, F. (2026) · Frontiers in Rehabilitation Sciences

Speech Recognition and SynthesisAssistive Technology in Communication and Mobility

Cited by 0