{"total":34,"rows":[{"id":"2502.18036","title":"Harnessing Multiple Large Language Models: A Survey on LLM Ensemble","created":"2025-02-25","cited_by_count":86,"area":null},{"id":"2404.12715","title":"Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration","created":"2024-04-19","cited_by_count":67,"area":null},{"id":"2407.06089","title":"Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models","created":"2024-07-08","cited_by_count":44,"area":null},{"id":"2406.12585","title":"Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling","created":"2024-06-18","cited_by_count":33,"area":null},{"id":"2410.03777","title":"Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling","created":"2024-10-03","cited_by_count":28,"area":null},{"id":"2407.19807","title":"Cool-Fusion: Fuse Large Language Models without Training","created":"2024-07-29","cited_by_count":12,"area":null},{"id":"2506.03523","title":"TokAlign: Efficient Vocabulary Adaptation via Token Alignment","created":"2025-06-04","cited_by_count":11,"area":null},{"id":"2510.13855","title":"Harnessing Consistency for Robust Test-Time LLM Ensemble","created":"2025-10-12","cited_by_count":10,"area":null},{"id":"2503.13505","title":"Ensemble Learning for Large Language Models in Text and Code Generation: A Survey","created":"2025-03-13","cited_by_count":9,"area":null},{"id":"2409.18583","title":"Hit the Sweet Spot! Span-Level Ensemble for Large Language Models","created":"2024-09-27","cited_by_count":8,"area":null},{"id":"2512.22309","title":"LLMBoost: Make Large Language Models Stronger with Boosting","created":"2025-12-26","cited_by_count":8,"area":null},{"id":"2506.14123","title":"Sampling from Your Language Model One Byte at a Time","created":"2025-06-17","cited_by_count":7,"area":null},{"id":"2412.07380","title":"SpecFuse: Ensembling Large Language Models via Next-Segment Prediction","created":"2024-12-10","cited_by_count":6,"area":null},{"id":"2406.02120","title":"Diver: Large Language Model Decoding with Span-Level Mutual Information Verification","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2410.05021","title":"DEPT: Decoupled Embeddings for Pre-training Language Models","created":"2024-10-07","cited_by_count":5,"area":null},{"id":"2505.00985","title":"Position: Enough of Scaling LLMs! Lets Focus on Downscaling","created":"2025-05-02","cited_by_count":5,"area":null},{"id":"2508.17771","title":"Speculating LLMs' Chinese Training Data Pollution from Their Tokens","created":"2025-08-25","cited_by_count":5,"area":null},{"id":"2501.17479","title":"DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance","created":"2025-01-29","cited_by_count":4,"area":null},{"id":"2503.19123","title":"Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling","created":"2025-03-24","cited_by_count":4,"area":null},{"id":"2502.21265","title":"Token-level Ensembling of Models with Different Vocabularies","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2503.15564","title":"GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction","created":"2025-03-19","cited_by_count":3,"area":null},{"id":"2508.02584","title":"MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification","created":"2025-08-04","cited_by_count":3,"area":null},{"id":"2510.15346","title":"When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling","created":"2025-10-17","cited_by_count":3,"area":null},{"id":"2603.05432","title":"Ensembling Language Models with Sequential Monte Carlo","created":"2026-03-05","cited_by_count":3,"area":null},{"id":"2509.11141","title":"When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity","created":"2025-09-14","cited_by_count":2,"area":null},{"id":"2510.08102","title":"Lossless Vocabulary Reduction for Auto-Regressive Language Models","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2605.13429","title":"TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2408.11327","title":"Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2502.01182","title":"A Single Model Ensemble Framework for Neural Machine Translation using Pivot Translation","created":"2025-02-03","cited_by_count":0,"area":null},{"id":"2506.00817","title":"One for All: Update Parameterized Knowledge Across Multiple Models","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2601.03423","title":"Training-Free Adaptation of New-Generation LLMs using Legacy Clinical Models","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2603.22913","title":"Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue Dataset","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2606.04378","title":"DLLG: Dynamic Logit-Level Gating of LLM Experts","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2610.03240","title":"Collective Bias Mitigation via Model Routing and Collaboration","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}