{"total":13,"rows":[{"id":"2603.07079","title":"Entropy-Aware On-Policy Distillation of Language Models","created":"2026-03-07","cited_by_count":175,"area":"distill"},{"id":"2606.30406","title":"MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training","created":"2026-06-29","cited_by_count":72,"area":"distill"},{"id":"2504.13825","title":"Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models","created":"2025-04-18","cited_by_count":6,"area":"distill"},{"id":"2511.02833","title":"In Good GRACEs: Principled Teacher Selection for Knowledge Distillation","created":"2025-11-04","cited_by_count":5,"area":"distill"},{"id":"2605.23857","title":"Strong Teacher Not Needed? On Distillation in LLM Pretraining","created":"2026-05-22","cited_by_count":3,"area":"distill"},{"id":"2510.24425","title":"Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models","created":"2025-10-28","cited_by_count":0,"area":"distill"},{"id":"2605.09924","title":"Evolving Knowledge Distillation for Lightweight Neural Machine Translation","created":"2026-05-11","cited_by_count":0,"area":"distill"},{"id":"2605.11513","title":"A Study on Hidden Layer Distillation for Large Language Model Pre-Training","created":"2026-05-12","cited_by_count":0,"area":"distill"},{"id":"2605.26246","title":"The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works","created":"2026-05-25","cited_by_count":0,"area":"distill"},{"id":"2609.03355","title":"ALRA: Adaptive Local Relational Alignment for Logit-Based Pre-training Distillation of Autoregressive Language Models","created":"2026-09-03","cited_by_count":0,"area":"distill"},{"id":"2609.39275","title":"ReTaCo: Residual-Target Control for On-Policy Distillation","created":"2026-09-30","cited_by_count":0,"area":"distill"},{"id":"2610.15589","title":"The Gradient That Top-k Distillation Never Computes","created":"2026-10-11","cited_by_count":0,"area":"distill"},{"id":"2610.17644","title":"DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss","created":"2026-10-13","cited_by_count":0,"area":"distill"}],"next_cursor":null}