Summary of Methods For Legal Citation Prediction in the Age Of Llms: An Australian Law Case Study, by Ehsan Shareghi et al.
Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Studyby…
Summary of Llm-align: Utilizing Large Language Models For Entity Alignment in Knowledge Graphs, by Xuan Chen et al.
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphsby Xuan Chen, Tong Lu,…
Summary of Florence-vl: Enhancing Vision-language Models with Generative Vision Encoder and Depth-breadth Fusion, by Jiuhai Chen et al.
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusionby Jiuhai Chen, Jianwei Yang,…
Summary of Dhcp: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-language Models, By Yudong Zhang et al.
DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Modelsby Yudong Zhang, Ruobing Xie,…
Summary of O1 Replication Journey — Part 2: Surpassing O1-preview Through Simple Distillation, Big Progress or Bitter Lesson?, by Zhen Huang et al.
O1 Replication Journey – Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter…
Summary of Ontology-constrained Generation Of Domain-specific Clinical Summaries, by Gaya Mehenni and Amal Zouaq
Ontology-Constrained Generation of Domain-Specific Clinical Summariesby Gaya Mehenni, Amal ZouaqFirst submitted to arxiv on: 23…
Summary of Sycophancy in Large Language Models: Causes and Mitigations, by Lars Malmqvist
Sycophancy in Large Language Models: Causes and Mitigationsby Lars MalmqvistFirst submitted to arxiv on: 22…
Summary of Toxilab: How Well Do Open-source Llms Generate Synthetic Toxicity Data?, by Zheng Hui et al.
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?by Zheng Hui, Zhaoxiao Guo, Hang…
Summary of A Novel Approach to Eliminating Hallucinations in Large Language Model-assisted Causal Discovery, by Grace Sng et al.
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discoveryby Grace Sng, Yanming…
Summary of Catch: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in Lvlms, by Zhehan Kan et al.
CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMsby Zhehan Kan, Ce Zhang,…