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cs.CL2025
Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
Yu Wang, Leyi Lao, Langchu Huang +3
Backchannels and fillers are important linguistic expressions in dialogue, but often treated as 'noise' to be bypassed in modern transformer-based language models (LMs). Here, we s…
cs.CV2025
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Lang Huang, Qiyu Wu, Zhongtao Miao +1
Information retrieval is indispensable for today's Internet applications, yet traditional semantic matching techniques often fall short in capturing the fine-grained cross-modal in…