35 citations · 35 across the 9 of their papers we have counts for
9 papers
Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation
Ryota Kawamatsu, Anum Afzal, Yuki Saito +5
We present a low-latency real-time audio game commentary system that generates spoken commentary directly from live gameplay video. In this end-to-end setting, a key bottleneck is…
HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities
Shusaku Egami, Aoi Ohta, Tomoki Tsujimura +5
Large Language Models (LLMs) provide flexible natural language processing capabilities, while knowledge graphs (KGs) offer explicit and structured knowledge. Integrating these two…
Multimodal Task Interference: A Benchmark and Analysis of History-Target Mismatch in Multimodal LLMs
Masayuki Kawarada, Tatsuya Ishigaki, Hiroya Takamura
Task interference, the performance degradation caused by task switches within a single conversation, has been studied exclusively in text-only settings despite the growing prevalen…
A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Ryo Nishida, Masayuki Kawarada, Tatsuya Ishigaki +2
This paper investigates demonstration selection strategies for predicting a user's next point-of-interest (POI) using large language models (LLMs), aiming to accurately forecast a…
Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches
Anum Afzal, Yuki Saito, Hiroya Takamura +5
Real-time video commentary generation provides textual descriptions of ongoing events in videos. It supports accessibility and engagement in domains such as sports, esports, and li…
QCoder Benchmark: Bridging Language Generation and Quantum Hardware through Simulator-Based Feedback
Taku Mikuriya, Tatsuya Ishigaki, Masayuki Kawarada +9
Large language models (LLMs) have increasingly been applied to automatic programming code generation. This task can be viewed as a language generation task that bridges natural lan…
QuantumBench: A Benchmark for Quantum Problem Solving
Shunya Minami, Tatsuya Ishigaki, Ikko Hamamura +6
Large language models are now integrated into many scientific workflows, accelerating data analysis, hypothesis generation, and design space exploration. In parallel with this grow…
Prompting for Numerical Sequences: A Case Study on Market Comment Generation
Masayuki Kawarada, Tatsuya Ishigaki, Hiroya Takamura
Large language models (LLMs) have been applied to a wide range of data-to-text generation tasks, including tables, graphs, and time-series numerical data-to-text settings. While re…
Learning to Select, Track, and Generate for Data-to-Text
Hayate Iso, Yui Uehara, Tatsuya Ishigaki +6
We propose a data-to-text generation model with two modules, one for tracking and the other for text generation. Our tracking module selects and keeps track of salient information…