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20232026
most citedChain-of-Symbol Prompting Elicits Planning in Large Langauge Models

7 citations · 9 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models

Hongyuan Lu, Zixuan Li, Wai Lam

There are two shortages in the current Large Language Models (LLMs) era. The first is short of multilingual models, where most LLMs are English-centric and performance is limited o…

cs.CV2024

Clean Evaluations on Contaminated Visual Language Models

Hongyuan Lu, Shujie Miao, Wai Lam

How to evaluate large language models (LLMs) cleanly has been established as an important research era to genuinely report the performance of possibly contaminated LLMs. Yet, how t…

cs.CL2024

Toxic Subword Pruning for Dialogue Response Generation on Large Language Models

Hongyuan Lu, Wai Lam

How to defend large language models (LLMs) from generating toxic content is an important research area. Yet, most research focused on various model training techniques to remediate…

cs.CL2024

Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations

Hao Yang, Hongyuan Lu, Xinhua Zeng +7

In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the d…

cs.CL2024★ 2 cited

Unveiling the Generalization Power of Fine-Tuned Large Language Models

Haoran Yang, Yumeng Zhang, Jiaqi Xu +3

While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities, fine-tuning these models on downstream, domain-specific datasets is often necessary to yiel…