Electronic theses and dissertations (ETDs) often state research gaps, limitations, and directions for future work. These statements can support literature review and research planning, but they are difficult to find in long, structurally varied documents. We present a provenance-first pipeline that turns such statement...
Amr Aboelnaga, Hajra Klair, Hoda Eldardiry et al.· Proceedings of the 26th ACM/...· 0 citations
Question answering (QA) over digital library collections allows users to obtain facts directly from digitized historical sources such as newspaper archives. Systems for this task typically follow the retrieve-then-read paradigm, in which a retriever first locates candidate passages in the collection and a reader then e...
Hajra Klair, Amr Aboelnaga, Hoda Eldardiry et al.· Proceedings of the 26th ACM/...· 0 citations
Video and audio are perceived together, yet most generative models treat them in isolation. We examine methods that model the two modalities jointly, generate one from the other, or edit them in a coupled manner, organized around a single question: how is the output kept coherent across modalities in time and semantics...
Abhinav Sharma, S. Navuluru, Wang Wei et al.· 0 citations
Existing Large Language Model (LLM) routing methods score LLMs independently to select top-$k$ models. However, this ignores model correlations and enforces a rigid computational budget. Consequently, routers often select redundant models that share failure modes, limiting the overall probability of success. To address...
Wang Wei, Harry Yang, Tiankai Yang et al.· 3 citations
This work proposes visual search augmented chain-of-thought reasoning (ViS-CoT), a training-free, plug-and-play pipeline that can be easily applied to any open-source video VLM for video-to-text AVE in e-Commerce.
Tong Wu, Ming Cheng, Jiazhen Hu et al.· 0 citations
HWM is a representation-level framework that models each domain-task specialist as a distribution of hidden representations on a shared support, enabling either training-free specialist aggregation by Wasserstein-derived weights or training-based generalist learning through a hybrid Wasserstein alignment loss.
Ming Cheng, Jiaying Gong, Hoda Eldardiry· 0 citations
This work studies adaptive routing of prompts to large language model experts to maximize response quality in an online setting with limited feedback and proposes algorithms that strategically select and observe rewards to minimize regret.
Wei Wang, Soumyabrata Pal, Koyel Mukherjee et al.· 1 citation
Diverse Skill Routing is proposed, a diversity-aware reranking framework that uses a Determinantal Point Process to balance relevance and non-redundancy and improves recall and full coverage over a strong pointwise reranking baseline, with larger gains on multi-skill queries.
Wang Wei, Tiankai Yang, Samyadeep Basu et al.· 2 citations
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