5 papers
APDMem: Agent-Controlled Progressive Disclosure for Query-Adaptive Long-Term Memory
Chin-Lun Fu, Anagha Kulkarni, Hong Ni +1
Personalized LLM assistants must recover sparse evidence from long conversation histories across queries of varying complexity. We introduce APDMem (Agent-controlled Progressive Di…
FinDialogLens: Event Extraction over Multi-Party Dialogue for Missed-Trade Identification in Financial Chatrooms
Chin-Lun Fu, Hong Ni, Behrouz Madahian
Multi-party financial chatrooms are vital for sales-and-trading professionals, but their complexity makes manual recovery of missed trades infeasible: each Request for Quote (RFQ)…
Exploring Efficient-tuning Methods in Self-supervised Speech Models
Zih-Ching Chen, Chin-Lun Fu, Chih-Ying Liu +2
In this study, we aim to explore efficient tuning methods for speech self-supervised learning. Recent studies show that self-supervised learning (SSL) can learn powerful representa…
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing
Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu +2
Face anti-spoofing (FAS) aims at distinguishing face spoof attacks from the authentic ones, which is typically approached by learning proper models for performing the associated cl…
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks
Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee +1
Transformer-based pre-trained models with millions of parameters require large storage. Recent approaches tackle this shortcoming by training adapters, but these approaches still r…