Summary of Characterbox: Evaluating the Role-playing Capabilities Of Llms in Text-based Virtual Worlds, by Lei Wang et al.
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worldsby Lei Wang, Jianxun Lian,…
Summary of An Entailment Tree Generation Approach For Multimodal Multi-hop Question Answering with Mixture-of-experts and Iterative Feedback Mechanism, by Qing Zhang et al.
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback…
Summary of Kalm: Knowledge-aligned Autoregressive Language Modeling Via Dual-view Knowledge Graph Contrastive Learning, by Peng Yu et al.
KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learningby Peng Yu, Cheng Deng,…
Summary of Question Answering For Decisionmaking in Green Building Design: a Multimodal Data Reasoning Method Driven by Large Language Models, By Yihui Li et al.
Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by…
Summary of Uniform Discretized Integrated Gradients: An Effective Attribution Based Method For Explaining Large Language Models, by Swarnava Sinha Roy and Ayan Kundu
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language modelsby Swarnava…
Summary of Semantic Tokens in Retrieval Augmented Generation, by Joel Suro
Semantic Tokens in Retrieval Augmented Generationby Joel SuroFirst submitted to arxiv on: 3 Dec 2024CategoriesMain:…
Summary of Hybrid-squad: Hybrid Scholarly Question Answering Dataset, by Tilahun Abedissa Taffa et al.
Hybrid-SQuAD: Hybrid Scholarly Question Answering Datasetby Tilahun Abedissa Taffa, Debayan Banerjee, Yaregal Assabie, Ricardo UsbeckFirst…
Summary of An Evolutionary Large Language Model For Hallucination Mitigation, by Abdennour Boulesnane and Abdelhakim Souilah
An Evolutionary Large Language Model for Hallucination Mitigationby Abdennour Boulesnane, Abdelhakim SouilahFirst submitted to arxiv…
Summary of Gracefully Filtering Backdoor Samples For Generative Large Language Models Without Retraining, by Zongru Wu et al.
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retrainingby Zongru Wu, Pengzhou Cheng,…
Summary of Mba-rag: a Bandit Approach For Adaptive Retrieval-augmented Generation Through Question Complexity, by Xiaqiang Tang et al.
MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexityby Xiaqiang Tang, Qiang Gao,…