Check computer science papers: citations, claims and retractions

What Deserves Memory: Adaptive Memory Distillation for LLM Agents

Ma, W., Nan, J., & Wu, W. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 0

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators

Zhou, Y., Xu, A., Wang, P., Xiong, C., & Joty, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents

Du, S., Yan, X., Jiang, D., Yuan, J., Hu, Y., Li, X., He, L., Zhang, B., & Bai, L. (2025) · arXiv

Machine Learning and Data ClassificationSoftware Engineering Research

Cited by 0

Scoring Grant Applications with Large Language Models

Thelwall, M., Pride, D., Osborne, F., Salatino, A., Knoth, P., Iyawa, G., & Yusuf, O. (2026) · arXiv

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 0

What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity

Audran-Reiss, A., Armengol-Estapé, J., Hambardzumyan, K., Budhiraja, A., Josifoski, M., Toledo, E., Hazra, R., Magka, D., Shvartsman, M., Pathak, P., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning

Wu, J., Zhong, X., Sun, J., Li, B., Jin, B., Han, J., & Zeng, Q. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model

Ayoib, A., Ismail, M. A., & Abdullah, N. (2026) · Malaysian Journal of Library and Information Science

Research Data Management PracticesLibrary Science and Information

Cited by 0

VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior

Sun, X., Zhang, L., Zhu, H., Zhang, P., Zhang, B., Ji, X., Zhou, K., Gao, D., Bo, L., & Cao, X. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

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ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning

Jiang, J., Shen, J., Kim, S., Yoo, K. M., Kim, J., & Kim, S. (2026) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 0

Towards Reliable Evaluation of Behavior Steering Interventions in LLMs

Pres, I., Ruis, L., Lubana, E. S., & Krueger, D. (2024) · arXiv

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 0

Plausible Is Not Enough: Trust and Evidence in AI-Authored Pull Request Review

Rahman, M. S., Alam, K., Roy, B., & Roy, C. K. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Exp-SWE-Agent: A Memory-Enhanced Coding Agent for Sequential Issue Resolution

Li, Y., Zeng, Z., Xie, R., Ye, W., & Zhang, S. (2026) · Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

A Scaffolded GenAI Lab in Early Undergraduate CS: A Mixed-Methods, Multi-Course Evaluation

Dickey, E., Bejarano, A., Kuperus, R., & Fagundes, B. (2025) · arXiv

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 0

Hyperagents

Zhang, J., Zhao, B., Yang, W., Foerster, J., Clune, J., Jiang, M., Devlin, S., & Shavrina, T. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Ouyang, S., Yan, J., Hsu, I.-H., Chen, Y., Jiang, K., Wang, Z., Han, R., Le, L. T., Daruki, S., Tang, X., et al. (2025) · arXiv

AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning

Cited by 0

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Chefer, H., Singer, U., Zohar, A., Kirstain, Y., Polyak, A., Taigman, Y., Wolf, L., & Sheynin, S. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

Are Large Language Models Temporally Grounded?

Qiu, Y., Zhao, Z., Ziser, Y., Korhonen, A., Ponti, E. M., & Cohen, S. B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Dong, G., Lu, J., Huang, J., Zhong, W., Liu, L., Huang, S., Li, Z., Zhao, Y., Song, X., Li, X., et al. (2026) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 0

Continual Memorization of Factoids in Language Models

Chen, H., Geng, J., Bhaskar, A., Friedman, D., & Chen, D. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

Lightweight Tamper-Evident Log Integrity Verification for IoT Edge Environments: A Merkle Tree Pipeline with Adaptive Chunking

Yagiz, M. A., Horasan, F., & Yurttakal, A. H. (2026) · arXiv

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 0

Stealing Reasoning Traces from Proprietary LLM APIs

Panfilov, A., Schmotz, D., Shumailov, I., Beurer-Kellner, L., Schaeffer, J., Prabhu, A., Geiping, J., & Andriushchenko, M. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Training a Team of Language Models as Options to Build an SQL-Based Memory

Lee, S., & Ko, H. (2025) · Applied Sciences

Speech and dialogue systemsTopic Modeling

Cited by 0

Memp: Exploring Agent Procedural Memory

Fang, R., Liang, Y., Wang, X., Wu, J., Qiao, S., Xie, P., Huang, F., Chen, H., & Zhang, N. (2025) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

Kim, J.-H., Kim, J., Kwon, S., Lee, J. W., Yun, S., & Song, H. O. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0