Search Results for author: Dekun Wu

Found 6 papers, 3 papers with code

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games

no code implementations1 Dec 2023 Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu

In this study, we explore the application of Large Language Models (LLMs) in \textit{Jubensha}, a Chinese detective role-playing game and a novel area in Artificial Intelligence (AI) driven gaming.

In-Context Learning Language Modelling +2

Sports Video Analysis on Large-Scale Data

1 code implementation9 Aug 2022 Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes

In this paper, we propose a novel large-scale NBA dataset for Sports Video Analysis (NSVA) with a focus on captioning, to address the above challenges.

Action Recognition

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph

1 code implementation EMNLP 2020 Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si

Previous works on knowledge-to-text generation take as input a few RDF triples or key-value pairs conveying the knowledge of some entities to generate a natural language description.

Graph-to-Sequence KG-to-Text Generation +2

FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase

1 code implementation NAACL 2019 Kelvin Jiang, Dekun Wu, Hui Jiang

In this paper, we present a new data set, named FreebaseQA, for open-domain factoid question answering (QA) tasks over structured knowledge bases, like Freebase.

Question Answering set matching +1

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