Summary of The Fabrication Of Reality and Fantasy: Scene Generation with Llm-assisted Prompt Interpretation, by Yi Yao et al.
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretationby Yi Yao, Chan-Feng…
Summary of Gpt Assisted Annotation Of Rhetorical and Linguistic Features For Interpretable Propaganda Technique Detection in News Text, by Kyle Hamilton et al.
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News…
Summary of The Art Of Saying No: Contextual Noncompliance in Language Models, by Faeze Brahman et al.
The Art of Saying No: Contextual Noncompliance in Language Modelsby Faeze Brahman, Sachin Kumar, Vidhisha…
Summary of Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-defined Highlights, by Shunqi Mao et al.
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlightsby Shunqi Mao, Chaoyi Zhang,…
Summary of Large Language Models As Misleading Assistants in Conversation, by Betty Li Hou et al.
Large Language Models as Misleading Assistants in Conversationby Betty Li Hou, Kejian Shi, Jason Phang,…
Summary of Autonomous Prompt Engineering in Large Language Models, by Daan Kepel et al.
Autonomous Prompt Engineering in Large Language Modelsby Daan Kepel, Konstantina ValogianniFirst submitted to arxiv on:…
Summary of Figuring Out Figures: Using Textual References to Caption Scientific Figures, by Stanley Cao and Kevin Liu
Figuring out Figures: Using Textual References to Caption Scientific Figuresby Stanley Cao, Kevin LiuFirst submitted…
Summary of Making New Connections: Llms As Puzzle Generators For the New York Times’ Connections Word Game, by Tim Merino et al.
Making New Connections: LLMs as Puzzle Generators for The New York Times’ Connections Word Gameby…
Summary of Sibyl: Simple Yet Effective Agent Framework For Complex Real-world Reasoning, by Yulong Wang et al.
Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoningby Yulong Wang, Tianhao Shen, Lifeng…
Summary of Think-on-graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation, by Shengjie Ma et al.
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generationby Shengjie…