Summary of How Reliable Are Llms As Knowledge Bases? Re-thinking Facutality and Consistency, by Danna Zheng et al.
How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistencyby Danna Zheng, Mirella Lapata,…
How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistencyby Danna Zheng, Mirella Lapata,…
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasksby Vishal Pallagani, Biplav…
Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessmentsby Roland…
Automated Question Generation on Tabular Data for Conversational Data Explorationby Ritwik Chaudhuri, Rajmohan C, Kirushikesh…
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMsby Aaron Zolnai-Lucas, Jack Boylan, Chris Hokamp, Parsa…
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarizationby Aniket Deroy,…
CiteME: Can Language Models Accurately Cite Scientific Claims?by Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal…
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Modelsby Jung Hyun Lee,…
Analyzing Large language models chatbots: An experimental approach using a probability testby Melise Peruchini, Julio…
Bilingual Adaptation of Monolingual Foundation Modelsby Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, Rituraj Joshi, Avraham…