{"total":23,"rows":[{"id":"2311.10944","title":"Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks","created":"2023-11-18","cited_by_count":56,"area":null},{"id":"2406.13862","title":"Knowledge Graph-Enhanced Large Language Models via Path Selection","created":"2024-06-19","cited_by_count":28,"area":null},{"id":"2408.12025","title":"Exploring Large Language Models for Feature Selection: A Data-centric Perspective","created":"2024-08-21","cited_by_count":27,"area":null},{"id":"2407.02408","title":"CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models","created":"2024-07-02","cited_by_count":18,"area":null},{"id":"2312.15033","title":"Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention","created":"2023-12-22","cited_by_count":12,"area":null},{"id":"2504.02901","title":"Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance","created":"2025-04-03","cited_by_count":11,"area":null},{"id":"2406.03730","title":"FastGAS: Fast Graph-based Annotation Selection for In-Context Learning","created":"2024-06-06","cited_by_count":8,"area":null},{"id":"2407.08947","title":"Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort","created":"2024-07-12","cited_by_count":7,"area":null},{"id":"2411.00873","title":"CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning","created":"2024-10-31","cited_by_count":6,"area":null},{"id":"2502.17121","title":"Adversarial Training for Defense Against Label Poisoning Attacks","created":"2025-02-24","cited_by_count":6,"area":null},{"id":"2406.17992","title":"Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2505.19675","title":"Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2405.01022","title":"UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation","created":"2024-05-02","cited_by_count":3,"area":null},{"id":"2407.00996","title":"Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?","created":"2024-07-01","cited_by_count":2,"area":null},{"id":"2512.11912","title":"Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis","created":"2025-12-11","cited_by_count":2,"area":null},{"id":"2504.03302","title":"Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2604.17289","title":"REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations","created":"2026-04-19","cited_by_count":1,"area":null},{"id":"2604.21637","title":"Multilinguality at the Edge: Developing Language Models for the Global South","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2502.19784","title":"NaijaNLP: A Survey of Nigerian Low-Resource Languages","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2510.10208","title":"Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2511.06763","title":"Sensitivity of Small Language Models to Fine-tuning Data Contamination","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2604.12469","title":"Analyzing the Effect of Noise in LLM Fine-tuning","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2606.08617","title":"Cross-Source Reasoning-based Correction for Author Name Disambiguation","created":"2026-06-07","cited_by_count":0,"area":null}],"next_cursor":null}