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20232026
most citedEnhancing textual textbook question answering with large language models and retrieval augmented generation

41 citations · 81 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette

Jiahao Yuan, Zixiang Di, Shangzixin Zhao +4

Large language models (LLMs) face challenges in aligning with diverse cultural values despite their remarkable performance in generation, which stems from inherent monocultural bia…

cs.CL2024

Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up

Jiahao Yuan, Dehui Du, Hao Zhang +2

Large language models (LLMs) have shown remarkable performance in reasoning tasks but face limitations in mathematical and complex logical reasoning. Existing methods to improve LL…

cs.CL2024

PersoBench: Benchmarking Personalized Response Generation in Large Language Models

Saleh Afzoon, Zahra Jamali, Usman Naseem +1

While large language models (LLMs) have exhibited impressive conversational capabilities, their proficiency in delivering personalized responses remains unclear. Although recent be…

cs.AI2024

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework

Jiahao Yuan, Zixiang Di, Zhiqing Cui +2

Empathetic response generation necessitates the integration of emotional and intentional dynamics to foster meaningful interactions. Existing research either neglects the intricate…

cs.CL2024★ 41 cited

Enhancing textual textbook question answering with large language models and retrieval augmented generation

Hessa Abdulrahman Alawwad, Areej Alhothali, Usman Naseem +2

Textbook question answering (TQA) is a challenging task in artificial intelligence due to the complex nature of context needed to answer complex questions. Although previous resear…