4 papers
ViThinker: Active Vision-Language Reasoning via Dynamic Perceptual Querying
Weihang You, Qingchan Zhu, David Liu +3
Chain-of-Thought (CoT) reasoning excels in language models but struggles in vision-language models due to premature visual-to-text conversion that discards continuous information s…
Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Survey
David Y. Liu, Aditya Joshi, Paul Dawson
Applications of narrative theories using large language models (LLMs) deliver promising methods in automatic story generation and understanding tasks. Our survey examines how natur…
Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling
David Y. Liu, Xanthe Muston, Dipankar Srirag +2
Counterfactual storytelling exposes LLM shortcomings in causal reasoning, where few-shot prompting and SFT fail to produce logical and rational narratives. This case study introduc…
Prompt and circumstance: A word-by-word LLM prompting approach to interlinear glossing for low-resource languages
Micha Elsner, David Liu
Partly automated creation of interlinear glossed text (IGT) has the potential to assist in linguistic documentation. We argue that LLMs can make this process more accessible to lin…