Check computer science papers: citations, claims and retractions

Deep Research Bench: Evaluating AI Web Research Agents

FutureSearch, :, Bosse, N. I., Evans, J., Gambee, R. G., Hnyk, D., Mühlbacher, P., Phillips, L., Schwarz, D., & Wildman, J. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

eyeballvul: a future-proof benchmark for vulnerability detection in the wild

Chauvin, T. (2024) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 0

What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce

Allouah, A., Besbes, O., Figueroa, J. D., Kanoria, Y., & Kumar, A. (2025) · arXiv

Information Retrieval and Search BehaviorDigital Marketing and Social Media

Cited by 0

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions

Bohlen, L., Rosenberger, J., Hambauer, N., Zähringer, D., Franz, V., Zschech, P., & Kraus, M. (2026) · Health Care Management Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 0

Agent-Assisted Side-Channel Attacks on Non-Prefix KV Cache in RAG

Sun, H., Liu, S., Ma, S., Li, J., Xiao, M., & Jiang, W. (2026) · arXiv

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 0

Reflect-RL: Two-Player Online RL Fine-Tuning for LMs

Zhou, R., Du, S. S., & Li, B. (2024) · arXiv

Reinforcement Learning in RoboticsSpeech and dialogue systems

Cited by 0

ProcgenOOD: a benchmark for out-of-distribution generalization in reinforcement learning

Corder, K., Park, S. J., & Vindiola, M. M. (2026) · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VIII

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

VideoARM: Agentic Reasoning over Hierarchical Memory for Long-Form Video Understanding

Yin, Y., Meng, Q., Chen, M., Ding, J., Shao, Z., & Yu, Z. (2025) · arXiv

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 0

HaluMem: Evaluating Hallucinations in Memory Systems of Agents

Chen, D., Niu, S., Li, K., Liu, P., Zheng, X., Tang, B., Li, X., Xiong, F., & Li, Z. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning

Liu, Y., Qu, T., Zhong, Z., Peng, B., Liu, S., Yu, B., & Jia, J. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents

Xue, S., Ding, Z., Shen, Y., Wang, Y., Yin, Z., Wu, Y., Chen, Y., Wang, M., & Yang, L. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

Does SWE-Bench-Verified Test Agent Ability or Model Memory?

Prathifkumar, T., Mathews, N. S., & Nagappan, M. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

HIRO: Hierarchical Information Retrieval Optimization

Goel, K., & Chandak, M. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Reframing faculty development for digital transformation and generative AI in higher education

Hou, Z., Chen, J., & Zhang, H. (2026) · Frontiers in Medicine

Educational Innovations and ChallengesEvaluation of Teaching Practices

Cited by 0

Language Models Can Learn from Verbal Feedback Without Scalar Rewards

Luo, R., Liu, Z., Liu, X., Du, C., Lin, M., Chen, W., Lu, W., & Pang, T. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Judge Reliability Harness: Stress Testing the Reliability of LLM Judges

Dev, S., Sloan, A., Kavner, J., Kong, N., & Sandler, M. (2026) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

MemLineage: Lineage-Guided Enforcement for LLM Agent Memory

Ouyang, C., & Hou, R. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs

Tavakoli, M., Salemi, A., Ye, C., Abdalla, M., Zamani, H., & Mitchell, J. R. (2025) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 0

A Unified Framework for N-ary Property Information Extraction in Materials Science

Phi, V.-T., & Matsumoto, Y. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingMachine Learning in Materials Science

Cited by 0

Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents

Wei, T., Shi, Z., Lin, M., He, B., Liu, Z., Sang, Y., Bei, Y., Ning, X., Zou, J., Li, T.-W., et al. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 0

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale

Zhu, X., Cai, Y., Liu, Z., Wang, C., Li, F., Jin, W., Liu, W., Bing, Z., Zheng, B., Chai, J., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

TraCT: Disaggregated LLM Serving with CXL Shared Memory KV Cache at Rack-Scale

Yoon, D., Min, Y., Kim, H., Noh, S. H., & Kim, J. (2025) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Database Systems and Queries

Cited by 0

AcademicEval: Live Long-Context LLM Benchmark

Zhang, H., Feng, T., Han, P., & You, J. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks

Zheng, M., Han, K., Li, B., Xu, H., Tian, Y., He, W., Zhou, H., Guo, J., Hu, H., Ma, L., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0