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cs.CL2026
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…
cs.CL2026
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)…
cs.CL2022
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…