4 citations · 10 across the 13 of their papers we have counts for
7 papers · 1 filter
Omni-Interactive Universal Embedder
Wei-Yao Wang, Kazuya Tateishi, Shuyang Cui +4
Multimodal representation learning has been shifting from traditional two-tower architectures to large language model (LLM)-based embedders due to their strong instruction-followin…
WebGen-V Bench: Structured Representation for Enhancing Visual Design in LLM-based Web Generation and Evaluation
Kuang-Da Wang, Zhao Wang, Yotaro Shimose +2
Witnessed by the recent advancements on leveraging LLM for coding and multimodal understanding, we present WebGen-V, a new benchmark and framework for instruction-to-HTML generatio…
VIRTUE: Visual-Interactive Text-Image Universal Embedder
Wei-Yao Wang, Kazuya Tateishi, Qiyu Wu +2
Multimodal representation learning models have demonstrated successful operation across complex tasks, and the integration of vision-language models (VLMs) has further enabled embe…
Benchmarking Agentic Newswriting via Journalistic Workflows
Yen-Che Chien, Kuang-Da Wang, Wei-Yao Wang +1
Recent advances in autonomous digital agents from industry (e.g., Manus AI and Gemini's research mode) highlight their potential for structured tasks through autonomous decision-ma…
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Zhao Wang, Sota Moriyama, Wei-Yao Wang +2
Recent advancements in LLM-based multi-agent (LLM-MA) systems have shown promise, yet significant challenges remain in managing communication and refinement when agents collaborate…
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh +1
In the dynamic and rapid tactic involvements of turn-based sports, badminton stands out as an intrinsic paradigm that requires alter-dependent decision-making of players. While the…