{"total":22,"rows":[{"id":"2307.04722","title":"Advances and Challenges in Meta-Learning: A Technical Review","created":"2023-07-10","cited_by_count":65,"area":null},{"id":"2305.13632","title":"Detecting and Mitigating Hallucinations in Multilingual Summarisation","created":"2023-05-23","cited_by_count":48,"area":null},{"id":"2202.07105","title":"A Survey on Model Compression and Acceleration for Pretrained Language Models","created":"2022-02-15","cited_by_count":45,"area":null},{"id":"2310.17653","title":"Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model","created":"2023-10-26","cited_by_count":19,"area":null},{"id":"2401.15347","title":"A Comprehensive Survey of Compression Algorithms for Language Models","created":"2024-01-27","cited_by_count":15,"area":null},{"id":"2112.12650","title":"Distilling the Knowledge of Romanian BERTs Using Multiple Teachers","created":"2021-12-23","cited_by_count":13,"area":null},{"id":"2402.09773","title":"NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models","created":"2024-02-15","cited_by_count":7,"area":null},{"id":"2602.20816","title":"Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation","created":"2026-02-24","cited_by_count":7,"area":null},{"id":"2310.01717","title":"Ensemble Distillation for Unsupervised Constituency Parsing","created":"2023-10-03","cited_by_count":6,"area":null},{"id":"2407.01490","title":"LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives","created":"2024-07-01","cited_by_count":6,"area":null},{"id":"2410.01483","title":"Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2405.18376","title":"Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2112.07327","title":"Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models","created":"2021-12-14","cited_by_count":2,"area":null},{"id":"2505.23337","title":"Matryoshka Model Learning for Improved Elastic Student Models","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2210.05230","title":"From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models","created":"2022-10-11","cited_by_count":1,"area":null},{"id":"2403.00144","title":"EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2111.10951","title":"Can depth-adaptive BERT perform better on binary classification tasks","created":"2021-11-22","cited_by_count":0,"area":null},{"id":"2406.09076","title":"3M: Multi-modal Multi-task Multi-teacher Learning for Game Event Detection","created":"2024-06-13","cited_by_count":0,"area":null},{"id":"2505.14117","title":"Collaborative Unlabeled Data Optimization","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2509.00914","title":"TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization","created":"2025-08-31","cited_by_count":0,"area":null},{"id":"2512.22467","title":"GLUE: Gradient-free Learning to Unify Experts","created":"2025-12-27","cited_by_count":0,"area":null},{"id":"2609.09702","title":"Decision Shifts, Lost Label Functionality, and an Inconclusive Grounding Audit in Correctness-Gated Multi-Teacher Distillation","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}