Check computer science papers: citations, claims and retractions

LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation

Li, D., Liu, Z., Wang, J., Huang, J., Li, F., Zhang, L., Jia, B., Hu, B., & Zhang, M. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM Agents

Hadeliya, T., Jauhar, M. A., Sakpal, N., & Cruz, D. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

Quantifying and Mitigating Self-Preference Bias of LLM Judges

Yang, J., Hu, Z., Qiu, C., Deng, Z., Jiao, X., & Zhou, T. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Shang, Y., Li, Y., Xu, F., & Li, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Understanding the Emergence of Multimodal Representation Alignment

Tjandrasuwita, M., Ekbote, C., Ziyin, L., & Liang, P. P. (2025) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications

Zhao, Y., Yuan, B., Huang, J., Yuan, H., Yu, Z., Xu, H., Hu, L., Shankarampeta, A., Huang, Z., Ni, W., et al. (2026) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention

Qiu, H., & Yao, Q. (2025) · arXiv

Numerical Methods and AlgorithmsAdvanced Neural Network Applications

Cited by 0

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents

Hu, Q., Long, Q., & Wang, W. (2026) · arXiv

Domain Adaptation and Few-Shot LearningAI-based Problem Solving and Planning

Cited by 0

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries

Biran, E., Gottesman, D., Yang, S., Geva, M., & Globerson, A. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models

Tian, H., Lu, S., Tian, F., Cui, G., Li, Z., Zhang, X., Sheng, Q. Z., & Dou, W. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence

Natural Language Processing TechniquesTopic Modeling

Cited by 0

HalluHard: A Hard Multi-Turn Hallucination Benchmark

Fan, D., Delsad, S., Flammarion, N., & Andriushchenko, M. (2026) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 0

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

Wu, Y., Zhang, L., Zhou, Y., Wang, M., Peng, B., Li, S., Fan, X., & Zhao, Z. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses

Yu, Z., Wu, Y., Yin, Z., Chen, K., Zhao, Z., Wang, M., Yan, S., & Yang, L. (2026) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 0

Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents

Rusu, T., Khanzadeh, S., & Alalfi, M. (2026) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 0

Burhan at IslamicEval: Fact-Augmented and LLM-Driven Retrieval for Islamic QA

Basheer, M., Mansour, W., Touma, A., & Qadeib Alban, A. (2025) · Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis

Wan, R., Wang, H., Huang, T.-H. K., & Gao, J. (2025) · Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 0

Active Data Discovery: Mining Unknown Data using Submodular Information Measures

Kothawade, S., Chopra, S., Ghosh, S., & Iyer, R. (2022) · arXiv

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 0

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

You, Z., & Wu, Z. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

NetKV: Network-Aware Decode Instance Selection for Disaggregated LLM Inference

Ojewale, M. A. (2026) · arXiv

Cloud Computing and Resource ManagementParallel Computing and Optimization Techniques

Cited by 0

Uncovering Overfitting in Large Language Model Editing

Zhang, M., Ye, X., Liu, Q., Ren, P., Wu, S., & Chen, Z. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Eliciting Reasoning in Language Models with Cognitive Tools

Ebouky, B., Bartezzaghi, A., & Rigotti, M. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

DyadMem: A Long-Term Memory Benchmark of How Agents Work with Users

Tao, Y., Zhong, X., Zhao, H. H., Wang, F., Guo, T., Qiu, W., Wang, Y., & Tang, L. (2026) · arXiv

Speech and dialogue systemsInformation Retrieval and Search Behavior

Cited by 0

MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments

Deshpande, D., Gangal, V., Mehta, H., Kannappan, A., Qian, R., & Wang, P. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Xia, P., Chen, J., Wang, H., Liu, J., Zeng, K., Wang, Y., Han, S., Zhou, Y., Zhao, X., Chen, H., et al. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0