2 citations · 2 across the 4 of their papers we have counts for
6 papers
HeroFrame-Bench: Reference-Anchored Evaluation via Rubric--Ranking Co-Evolution for Movie Hero Frame Selection
Weitai Kang, Hanieh Deilamsalehy, Yumo Xu +3
Hero frames are in-film stills used as source imagery for theatrical posters, streaming cover art, film database listings, and other promotional placements. As the first visual ent…
CueKFS: Agentic Cue-Driven Keyframe Selection for Long Video Understanding
Weitai Kang, Hanieh Deilamsalehy, Yumo Xu +3
Keyframe selection (KFS) has long produced compact video summaries for browsing and retrieval, and representative frames for thumbnails. More recently, when conditioned on a questi…
FUSE : Failure-aware Usage of Subagent Evidence for MultiModal Search and Recommendation
Tushar Vatsa, Vibha Belavadi, Priya Shanmugasundaram +2
Multimodal creative assistants decompose user goals and route tasks to subagents for layout, styling, retrieval, and generation. Retrieval quality is pivotal, yet failures can aris…
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs
Vibha Belavadi, Tushar Vatsa, Dewang Sultania +5
This paper addresses fine-tuning Large Language Models (LLMs) for function calling tasks when real user interaction data is unavailable. In digital content creation tools, where us…
Domain-specific Question Answering with Hybrid Search
Dewang Sultania, Zhaoyu Lu, Twisha Naik +11
Domain specific question answering is an evolving field that requires specialized solutions to address unique challenges. In this paper, we show that a hybrid approach combining a…
Retrieval Augmented Generation for Domain-specific Question Answering
Sanat Sharma, David Seunghyun Yoon, Franck Dernoncourt +5
Question answering (QA) has become an important application in the advanced development of large language models. General pre-trained large language models for question-answering a…