Check computer science papers: citations, claims and retractions

CooperBench: Why Coding Agents Cannot be Your Teammates Yet

Khatua, A., Zhu, H., Tran, P., Prabhudesai, A., Sadrieh, F., Lieberwirth, J. K., Yu, X., Fu, Y., Ryan, M. J., Pei, J., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability

Kuo, P.-C., Hou, H., Dabney, W., & Walker, E. Y. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

VeRO: A Harness for Agents to Optimize Agents

Ursekar, V., Shanker, A., Chatrath, V., Xue, Y., & Denton, S. M. (2026) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 0

WritingBench: A Comprehensive Benchmark for Generative Writing

Wu, Y., Mei, J., Yan, M., Li, C., Lai, S., Ren, Y., Wang, Z., Zhang, J., Wu, M., Jin, Q., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?

Wahed, M., Zhou, X., Nguyen, K. A., Yu, T., Diwan, N., Wang, G., Hakkani-Tür, D., & Lourentzou, I. (2025) · arXiv

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 0

Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering

Vijayvargiya, S., Zhou, X., Yerukola, A., Sap, M., & Neubig, G. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Hallucinations in Bibliographic Recommendation: Citation Frequency as a Proxy for Training Data Redundancy

Niimi, J. (2025) · arXiv

Topic ModelingRecommender Systems and Techniques

Cited by 0

Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings

Kuang, Z., Zong, S., Zhang, J., Chen, J., & Liu, H. (2022) · arXiv

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 0

SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs

Pham, M. V. T., Phan, H. N., Phan, H. N., Chi, C. L., Nguyen, T. N., & Bui, N. D. Q. (2025) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 0

Agensh: Scaling Organizational Intelligence to 1,024 Agents

Zhan, Z., Song, T., Dong, L., Huang, S., Lian, J., Xia, Y., & Wei, F. (2026) · arXiv

Multi-Agent Systems and NegotiationParallel Computing and Optimization Techniques

Cited by 0

Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO

Zheng, J., Yuan, J., Yao, J., Gu, C., Zheng, P., & He, G. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

FinPerMA: A Theory-Informed, Event-Grounded Personalized-Memory Benchmark for LLM Agents

Wang, B., Zhou, K., Guo, L., Chen, F., & Zhang, C. (2026) · arXiv

AI-based Problem Solving and PlanningSpeech and dialogue systems

Cited by 0

EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

Meng, R., Zhang, X., Li, Y., & Ma, C. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 0

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning

Chakraborty, A., Dashore, P., Bathaee, N., Jain, A., Das, A., Zhang, S.-X., Sahu, S., Naphade, M., & Winata, G. I. (2025) · arXiv

AI-based Problem Solving and PlanningSpeech and dialogue systems

Cited by 0

Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model

Di Nepi, G., Siciliano, F., & Silvestri, F. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

When Agents Talk: Discourse, Manipulation, and Risk in an Agentic Social Network

Labs, 1., :, Cheong, G., Davis, V., Garcia, J., Gee, K., Hart, M., Hayes, N., Houghton, H., Lee, K., et al. (2026) · arXiv

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 0

The size and depth of vocabulary knowledge of Korean high school students in China

The Korean Society of Bilingualism, & Choi, J. (2018) · The Korean Society of Bilingualism

Educational Systems and PoliciesEducational Research and Pedagogy

Cited by 0

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Razin, N., Malladi, S., Bhaskar, A., Chen, D., Arora, S., & Hanin, B. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching Optimization

Lee, S.-H., Choi, H.-Y., & Lee, S.-W. (2024) · arXiv

Speech Recognition and SynthesisGenerative Adversarial Networks and Image Synthesis

Cited by 0

Implementation of the kNN method on a CUDA GPU in MATLAB for solving regression problems with hyperparameter optimization

Sonin, A. P. (2026) · SOFT MEASUREMENTS AND COMPUTING

Parallel Computing and Optimization TechniquesComputer Science and Engineering

Cited by 0

Applications Used in Distance Education in English Language Classrooms

Mahir, M. A. A. (2025) · International Journal of Teaching, Learning and Education

English Language Learning and TeachingForeign Language Teaching Methods

Cited by 0

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

Tang, H., Liu, F., Chen, X., Chen, J., Wang, B., Zhang, C., Wang, J., Sun, Y., Hu, B., & Wang, C. (2025) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0

DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation

Xie, S., Shi, Z., Shen, H., Wang, J., Zhong, S., Liu, M., Pan, C., Jia, P., Sun, B., Jing, X., et al. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing

Bhargava, N., & Barrento, R. S. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0