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20232026
most citedLoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

8 citations · 25 across the 17 of their papers we have counts for

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Showing 2024 · cs.CLShow all

7 papers · 2 filters

cs.CL2024

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning

Jun Zhao, Jingqi Tong, Yurong Mou +3

Human cognition exhibits systematic compositionality, the algebraic ability to generate infinite novel combinations from finite learned components, which is the key to understandin…

cs.CL2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models

Wei He, Shichun Liu, Jun Zhao +6

Large language models (LLMs) have shown promising abilities of in-context learning (ICL), adapting swiftly to new tasks with only few-shot demonstrations. However, current few-shot…

cs.CL2024★ 1 cited

LongHeads: Multi-Head Attention is Secretly a Long Context Processor

Yi Lu, Xin Zhou, Wei He +5

Large language models (LLMs) have achieved impressive performance in numerous domains but often struggle to process lengthy inputs effectively and efficiently due to limited length…

cs.CL2024★ 2 cited

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Jun Zhao, Can Zu, Hao Xu +6

Large language models (LLMs) have demonstrated impressive performance in understanding language and executing complex reasoning tasks. However, LLMs with long context windows have…

cs.CL2024★ 2 cited

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution

Nuo Xu, Jun Zhao, Can Zu +9

Faithfulness, expressiveness, and elegance is the constant pursuit in machine translation. However, traditional metrics like \textit{BLEU} do not strictly align with human preferen…

cs.CL2024★ 1 cited

Unveiling Linguistic Regions in Large Language Models

Zhihao Zhang, Jun Zhao, Qi Zhang +2

Large Language Models (LLMs) have demonstrated considerable cross-lingual alignment and generalization ability. Current research primarily focuses on improving LLMs' cross-lingual…

cs.CL2024★ 6 cited

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Jun Zhao, Zhihao Zhang, Luhui Gao +3

In recent times, substantial advancements have been witnessed in large language models (LLMs), exemplified by ChatGPT, showcasing remarkable proficiency across a range of complex t…