Summary of Generative Retrieval with Large Language Models, by Ye Wang et al.
Generative Retrieval with Large Language Modelsby Ye Wang, Xinrun Xu, Rui Xie, Wenxin Hu, Wei…
Summary of Memory Gaps: Would Llms Pass the Tulving Test?, by Jean-marie Chauvet
Memory GAPS: Would LLMs pass the Tulving Test?by Jean-Marie ChauvetFirst submitted to arxiv on: 26…
Summary of Refutebench: Evaluating Refuting Instruction-following For Large Language Models, by Jianhao Yan et al.
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Modelsby Jianhao Yan, Yun Luo, Yue ZhangFirst submitted…
Summary of Identifying Semantic Induction Heads to Understand In-context Learning, by Jie Ren et al.
Identifying Semantic Induction Heads to Understand In-Context Learningby Jie Ren, Qipeng Guo, Hang Yan, Dongrui…
Summary of Where Is the Answer? Investigating Positional Bias in Language Model Knowledge Extraction, by Kuniaki Saito et al.
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extractionby Kuniaki Saito, Kihyuk…
Summary of Navigating the Dual Facets: a Comprehensive Evaluation Of Sequential Memory Editing in Large Language Models, by Zihao Lin et al.
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Modelsby…
Summary of Genres: Rethinking Evaluation For Generative Relation Extraction in the Era Of Large Language Models, by Pengcheng Jiang et al.
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Modelsby Pengcheng…
Summary of Hgot: Hierarchical Graph Of Thoughts For Retrieval-augmented In-context Learning in Factuality Evaluation, by Yihao Fang et al.
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluationby Yihao Fang, Stephen…
Summary of Comparing Knowledge Sources For Open-domain Scientific Claim Verification, by Juraj Vladika et al.
Comparing Knowledge Sources for Open-Domain Scientific Claim Verificationby Juraj Vladika, Florian MatthesFirst submitted to arxiv…
Summary of Multi: Multimodal Understanding Leaderboard with Text and Images, by Zichen Zhu et al.
MULTI: Multimodal Understanding Leaderboard with Text and Imagesby Zichen Zhu, Yang Xu, Lu Chen, Jingkai…