Image de couverture de livre

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Yichong, Feng, Xiaocheng, Li, Baohang, Xiang, Yang, Wang, Hui, Qin, Bing, Liu, Ting
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Aligning Translation-Specific Understanding to General Understanding in Large Language Models
par: Huang, Yichong, et autres
Publié: (2024)

Relay Decoding: Concatenating Large Language Models for Machine Translation
par: Fu, Chengpeng, et autres
Publié: (2024)

Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning
par: Huo, Wenshuai, et autres
Publié: (2025)

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
par: Li, Zijian, et autres
Publié: (2025)

One for All: Update Parameterized Knowledge Across Multiple Models
par: Ma, Weitao, et autres
Publié: (2025)

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
par: Ye, Zekai, et autres
Publié: (2025)

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
par: Yuan, Zekun, et autres
Publié: (2026)

Ensuring Consistency for In-Image Translation
par: Fu, Chengpeng, et autres
Publié: (2024)

x1: Learning to Think Adaptively Across Languages and Cultures
par: Ye, Yangfan, et autres
Publié: (2026)

Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
par: Gu, Yuxuan, et autres
Publié: (2026)

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
par: Ma, Weitao, et autres
Publié: (2024)

Large Language Models Are Still Misled by Simple Bias Ensembles
par: Sun, Zhouhao, et autres
Publié: (2025)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
par: Huang, Lei, et autres
Publié: (2023)

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications
par: Feng, Zhangyin, et autres
Publié: (2023)

Extending Context Window of Large Language Models from a Distributional Perspective
par: Wu, Yingsheng, et autres
Publié: (2024)

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
par: Xiong, Kai, et autres
Publié: (2023)

Advancing Large Language Model Attribution through Self-Improving
par: Huang, Lei, et autres
Publié: (2024)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
par: Huang, Lei, et autres
Publié: (2024)

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
par: Huang, Lei, et autres
Publié: (2026)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
par: Zhong, Weihong, et autres
Publié: (2024)

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
par: Li, Qiming, et autres
Publié: (2025)

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
par: Huang, Lei, et autres
Publié: (2025)

Causal-Guided Active Learning for Debiasing Large Language Models
par: Du, Li, et autres
Publié: (2024)

Revealing the Parallel Multilingual Learning within Large Language Models
par: Mu, Yongyu, et autres
Publié: (2024)

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering
par: Li, Qiming, et autres
Publié: (2026)

GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
par: Yuan, Zike, et autres
Publié: (2024)

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
par: Fan, Yuchun, et autres
Publié: (2025)

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
par: Zhao, Liang, et autres
Publié: (2023)

Large Language Model Agents Are Not Always Faithful Self-Evolvers
par: Zhao, Weixiang, et autres
Publié: (2026)

Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion
par: Du, Yexing, et autres
Publié: (2026)

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges
par: Ye, Yangfan, et autres
Publié: (2024)

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning
par: Ye, Yangfan, et autres
Publié: (2025)

Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
par: Feng, Xiachong, et autres
Publié: (2023)

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
par: Zhu, Kun, et autres
Publié: (2025)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
par: Zhang, Qing, et autres
Publié: (2025)

Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization
par: Wang, Jianing, et autres
Publié: (2024)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
par: Xiong, Kai, et autres
Publié: (2024)

Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
par: Qian, Xinying, et autres
Publié: (2025)

Predicting Lung Cancer Patient Prognosis with Large Language Models
par: Hu, Danqing, et autres
Publié: (2024)

Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
par: Lu, Jinliang, et autres
Publié: (2024)