Check computer science papers: citations, claims and retractions

Toxicidade em Chats de Live Streaming: Um Estudo Comparativo com Coleta Síncrona em Twitch, YouTube e Kick

Cardoso, R., & Silva, C. A. (2026) · Anais do XV Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2026)

Hate Speech and Cyberbullying DetectionSwearing, Euphemism, Multilingualism

Cited by 0

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System

Wang, Y., Xie, T., Shen, K., Wang, M., & Yang, L. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Automatic Code Plagiarism Detection using AST and Machine Learning

Pavani, K., Kathyayani, M. S., Kousar, K. H., Lahari, K. P., Pavani, K., & Bai, R. (2026) · International Journal of Scientific Research in Science Engineering and Technology

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 0

SemantiLynx: context based icons for mobile web navigation and directed search tasks

Setlur, V. (2010) · Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Data Visualization and AnalyticsUsability and User Interface Design

Cited by 0

Who Broke Me? Execution-Guided Repair of Behavioral Dependency Breaks

Chen, J., Bi, T., Wang, Y., & Thongtanunam, P. (2026) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Git Context Controller: Manage the Context of LLM-based Agents like Git

Wu, J., Hu, M., Zhu, J., Pan, J., Liu, Y., Xu, M., & Jin, Y. (2025) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 0

Mem-α: Learning Memory Construction via Reinforcement Learning

Wang, Y., Takanobu, R., Liang, Z., Mao, Y., Hu, Y., McAuley, J., & Wu, X. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Wang, Q., Ke, J., Tomizuka, M., Chen, Y., Keutzer, K., & Xu, C. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Coverage, Not Credit: Failure-Credit Routing of Zeroth-Order Perturbation Budgets Does Not Improve On-Pool Sample Efficiency for LLM Agents

Ge, Y. (2026) · arXiv

Reinforcement Learning in RoboticsMetaheuristic Optimization Algorithms Research

Cited by 0

Design and Implementation of a Lightweight Neural Controller for LLM Agent Systems

Langay, B. B. (2026) · International Journal of Latest Technology in Engineering Management & Applied Science

Topic ModelingNatural Language Processing Techniques

Cited by 0

Sycophancy Negatively Affects LLM-as-a-Judge in Conflict Evaluation

Farzi, N., Dietz, L., & Carton, S. (2026) · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 0

A Topology-Aware, Memory-Centric Architecture that Separates Root-Cause Derivation from Root-Cause Explanation

Seedat, M. (2026) · arXiv

Software System Performance and ReliabilityDistributed systems and fault tolerance

Cited by 0

RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention

Liu, Y., Luo, Z., Jin, H., Wang, Z., He, R., Wang, B., Chen, G., Liu, Y., Xie, T., & Hu, J. (2026) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 0

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design

Teoh, J., Li, W., & Varakantham, P. (2024) · Advances in Neural Information Processing Systems 37

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 0

SEVerA: Verified Synthesis of Self-Evolving Agents

Banerjee, D., Xu, C., Ie, E., Zhang, M., Peng, D., Lin, C.-C., Suresh, T., & Singh, G. (2026) · arXiv

Logic, programming, and type systemsFormal Methods in Verification

Cited by 0

AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations

Jiayang, C., Ru, D., Qiu, L., Li, Y., Cao, X., Song, Y., & Cai, X. (2026) · arXiv

Speech and dialogue systemsInformation Retrieval and Search Behavior

Cited by 0

Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse

Heo, T., Shafipour, R., Zhao, R., Golub, M., Kamani, M. M., Borkar, R., Chandran, M. T., Zardoshti, P., & Rouhani, B. D. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Controlled LLM Training on Spectral Sphere

Xie, T., Luo, H., Tang, H., Hu, Y., Liu, J. K., Ren, Q., Wang, Y., Zhao, W. X., Yan, R., Su, B., et al. (2026) · arXiv

Stochastic Gradient Optimization TechniquesTopic Modeling

Cited by 0

DialSim: A Dialogue Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents

Kim, J., Chay, W., Hwang, H., Kyung, D., Chung, H., Cho, E., Kwon, Y., Jo, Y., & Choi, E. (2024) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

Wang, Z., Xu, C., Liu, B., Wang, Y., Han, S., Yao, Z., Yao, H., & He, Y. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing

Hu, J., Zhong, T., Wang, X., Jiang, B., Tian, X., Yang, F., Wan, P., & Zhang, D. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 0

MESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution

Shang, Z., Huo, Y., Gong, M., Yan, A., Qu, Z., Dong, J., Low, B. K. H., Wu, C., & Dai, Z. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAdvanced Bandit Algorithms Research

Cited by 0

Do AI-Generated Pull Requests Get Rejected More? (Yes but Why?)

Wang, Y., & Yang, Z. (2026) · Proceedings of the 23rd International Conference on Mining Software Repositories

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

When Prompts Go Wrong: Evaluating Code Model Robustness to Ambiguous, Contradictory, and Incomplete Task Descriptions

Larbi, M., Akli, A., Papadakis, M., Bouyousfi, R., Cordy, M., Sarro, F., & Traon, Y. L. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0