3 papers
cs.CV2026
Watch Before You Answer: Learning from Visually Grounded Post-Training
Yuxuan Zhang, EunJeong Hwang, Huaisong Zhang +8
It is critical for vision-language models (VLMs) to comprehensively understand visual, temporal, and textual cues. However, despite rapid progress in multimodal modeling, video und…
cs.CL2024
Enhancing Incremental Summarization with Structured Representations
EunJeong Hwang, Yichao Zhou, James Bradley Wendt +4
Large language models (LLMs) often struggle with processing extensive input contexts, which can lead to redundant, inaccurate, or incoherent summaries. Recent methods have used uns…
cs.CL2024
SUMIE: A Synthetic Benchmark for Incremental Entity Summarization
Eunjeong Hwang, Yichao Zhou, Beliz Gunel +2
No existing dataset adequately tests how well language models can incrementally update entity summaries - a crucial ability as these models rapidly advance. The Incremental Entity…