Check computer science papers: citations, claims and retractions

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Zhang, Q., Singh, C., Liu, L., Liu, X., Yu, B., Gao, J., & Zhao, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

A Multi-Task Role-Playing Agent Capable of Imitating Character Linguistic Styles

Chen, S., Si, Q., Yang, C., Liang, Y., Lin, Z., Liu, H., & Wang, W. (2024) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Advancing Biomedical Claim Verification by Using Large Language Models with Better Structured Prompting Strategies

Liang, S., & Sonntag, D. (2025) · Proceedings of the 24th Workshop on Biomedical Language Processing

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 0

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

Das, S., Viswanathan, P., Donnelly, D., Huang, C., Abdelnabi, S., & Fioretto, F. (2026) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification

Wu, X., Yin, S., Kang, Y., Zhang, X., Xu, Q., Chen, Z., & Zhang, W. (2025) · arXiv

Evolutionary Algorithms and ApplicationsAdvanced Bandit Algorithms Research

Cited by 0

Language models need inductive biases to count inductively

Chang, Y., & Bisk, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems

Tao, Y., Zheng, X., Yang, S., Tao, M., & Wang, X. (2026) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 0

ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification

Lee, H., Oh, S., Kim, J., Shin, J., & Tack, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control

Huang, J., Hsia, J., Sun, J., Shi, F., Huang, W., & White, I. H. (2026) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 0

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution

Dineen, J., RRV, A., Xu, Z., & Zhou, B. (2026) · arXiv

Topic ModelingEvolutionary Algorithms and Applications

Cited by 0

What Deserves Memory: Adaptive Memory Distillation for LLM Agents

Ma, W., Nan, J., Wu, W., & Chen, Y. (2025) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0

LLM-RAG Semantic Search Enhancement Framework for Digital Libraries

Zhuang, Y., & Yang, J. (2026) · Proceedings of the 2026 3rd International Conference on Innovation Management and Information Systems

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Reliable Graph-RAG for Codebases: AST-Derived Graphs vs LLM-Extracted Knowledge Graphs

Chinthareddy, M. R. (2026) · arXiv

Software Engineering ResearchInformation Retrieval and Search Behavior

Cited by 0

Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs

Bansal, R., Zhang, A., Tiwari, R., Madaan, L., Duvvuri, S. S., Khatri, D., Brandfonbrener, D., Alvarez-Melis, D., Bhargava, P., Kale, M. S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?

Hora, A., & Robbes, R. (2026) · arXiv

Software Engineering ResearchOpen Source Software Innovations

Cited by 0

Kepler: Auditable World Models for ARC-AGI-3

Wu, W. (2026) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0

Frontier LLMs Still Struggle with Simple Reasoning Tasks

Malek, A., Ge, J., Lazic, N., Jin, C., György, A., & Szepesvári, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models - The Story Goes On

Zeng, L., Zhong, L., Zhao, L., Wei, T., Yang, L., He, J., Cheng, C., Hu, R., Liu, Y., Yan, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation

Yang, H., Zhao, Q., & Li, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

ADIAS: Automated Design of Interactive Agentic Systems

Jiang, L., Tang, B., Goetz, S., & Guo, Y. (2026) · arXiv

AI-based Problem Solving and PlanningSoftware Engineering Research

Cited by 0

Improving Large Language Model Planning with Action Sequence Similarity

Zhao, X., Sedghi, H., Bohnet, B., Schuurmans, D., & Nova, A. (2025) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0

OpenClaw AI Agents as Informal Learners at Moltbook: Characterizing an Emergent Learning Community at Scale

Chen, E., Guan, C., Elshafiey, A., Zhao, Z., Zekeri, J., Shaibu, A. E., Prince, E. O., & Wu, C. J. (2026) · arXiv

Online Learning and AnalyticsOnline and Blended Learning

Cited by 0

CoEx - Co-evolving World-model and Exploration

Kim, M., & Hwang, S.-W. (2025) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference

Yang, X., Gu, H., Xu, B., Li, L., Liu, B., Liu, J., Zhu, Q., Guo, Y., & Han, S. (2026) · arXiv

Machine Learning in HealthcareMultimodal Machine Learning Applications

Cited by 0