Summary of Fundamental Problems with Model Editing: How Should Rational Belief Revision Work in Llms?, by Peter Hase et al.
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?by Peter Hase,…
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?by Peter Hase,…
Development and Evaluation of a Retrieval-Augmented Generation Tool for Creating SAPPhIRE Models of Artificial Systemsby…
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstractsby Naseela Pervez,…
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilizationby Miyoung Ko, Sue…
Knowledge acquisition for dialogue agents using reinforcement learning on graph representationsby Selene Baez Santamaria, Shihan…
Handling Ontology Gaps in Semantic Parsingby Andrea Bacciu, Marco Damonte, Marco Basaldella, Emilio MontiFirst submitted…
Captioning Visualizations with Large Language Models (CVLLM): A Tutorialby Giuseppe Carenini, Jordon Johnson, Ali SalamatianFirst…
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversationsby Ritam Dutt, Zhen Wu, Kelly…
What Matters in Detecting AI-Generated Videos like Sora?by Chirui Chang, Zhengzhe Liu, Xiaoyang Lyu, Xiaojuan…
Optimal Video Compression using Pixel Shift Trackingby Hitesh Saai Mananchery Panneerselvam, Smit AnandFirst submitted to…