10 citations · 19 across the 20 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
Yang Yang
Image captioning can automatically generate captions for the given images, and the key challenge is to learn a mapping function from visual features to natural language features. E…
Large Language Models are Contrastive Reasoners
Liang Yao
Prompting methods play a crucial role in enhancing the capabilities of pre-trained large language models (LLMs). We explore how contrastive prompting (CP) significantly improves th…
Sora as a World Model? A Complete Survey on Text-to-Video Generation
Fachrina Dewi Puspitasari, Chaoning Zhang, Joseph Cho +13
The evolution of video generation from text, from animating MNIST to simulating the world with Sora, has progressed at a breakneck speed. Here, we systematically discuss how far te…
Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method
Tian Xia, Zhiwei He, Tong Ren +4
Bargaining is an important and unique part of negotiation between humans. As LLM-driven agents learn to negotiate and act like real humans, how to evaluate agents' bargaining abili…